From 5adda19778c3158a1e35c232d08ad6c3b23f6633 Mon Sep 17 00:00:00 2001 From: Jolan Rensen Date: Fri, 1 Mar 2024 17:02:23 +0100 Subject: [PATCH 01/11] fixing several ` ` kdoc issues --- core/build.gradle.kts | 1 - .../dataframe/api/ColumnsSelectionDsl.kt | 225 +- .../jetbrains/kotlinx/dataframe/api/all.kt | 2965 ++++------------- .../kotlinx/dataframe/api/allExcept.kt | 12 +- .../jetbrains/kotlinx/dataframe/api/and.kt | 14 +- .../jetbrains/kotlinx/dataframe/api/col.kt | 12 +- .../kotlinx/dataframe/api/colGroup.kt | 12 +- .../kotlinx/dataframe/api/colGroups.kt | 10 +- .../jetbrains/kotlinx/dataframe/api/cols.kt | 16 +- .../kotlinx/dataframe/api/colsAtAnyDepth.kt | 10 +- .../kotlinx/dataframe/api/colsInGroups.kt | 12 +- .../jetbrains/kotlinx/dataframe/api/colsOf.kt | 20 +- .../kotlinx/dataframe/api/colsOfKind.kt | 10 +- .../dataframe/api/columnNameFilters.kt | 24 +- .../kotlinx/dataframe/api/columnRange.kt | 70 +- .../kotlinx/dataframe/api/distinct.kt | 4 +- .../jetbrains/kotlinx/dataframe/api/drop.kt | 10 +- .../jetbrains/kotlinx/dataframe/api/filter.kt | 4 +- .../jetbrains/kotlinx/dataframe/api/first.kt | 10 +- .../kotlinx/dataframe/api/frameCol.kt | 12 +- .../kotlinx/dataframe/api/frameCols.kt | 10 +- .../jetbrains/kotlinx/dataframe/api/last.kt | 10 +- .../jetbrains/kotlinx/dataframe/api/rename.kt | 10 +- .../jetbrains/kotlinx/dataframe/api/select.kt | 6 +- .../kotlinx/dataframe/api/simplify.kt | 4 +- .../jetbrains/kotlinx/dataframe/api/single.kt | 10 +- .../jetbrains/kotlinx/dataframe/api/take.kt | 10 +- .../kotlinx/dataframe/api/valueCol.kt | 12 +- .../kotlinx/dataframe/api/valueCols.kt | 10 +- .../kotlinx/dataframe/api/withoutNulls.kt | 10 +- .../DslGrammarTemplateColumnsSelectionDsl.kt | 18 +- .../dataframe/api/ColumnsSelectionDsl.kt | 208 +- .../jetbrains/kotlinx/dataframe/api/all.kt | 38 +- .../kotlinx/dataframe/api/allExcept.kt | 2 +- .../jetbrains/kotlinx/dataframe/api/and.kt | 2 +- .../jetbrains/kotlinx/dataframe/api/col.kt | 4 +- .../kotlinx/dataframe/api/colGroup.kt | 4 +- .../kotlinx/dataframe/api/colGroups.kt | 4 +- .../jetbrains/kotlinx/dataframe/api/cols.kt | 4 +- .../kotlinx/dataframe/api/colsAtAnyDepth.kt | 4 +- .../kotlinx/dataframe/api/colsInGroups.kt | 6 +- .../jetbrains/kotlinx/dataframe/api/colsOf.kt | 4 +- .../kotlinx/dataframe/api/colsOfKind.kt | 4 +- .../dataframe/api/columnNameFilters.kt | 17 +- .../kotlinx/dataframe/api/columnRange.kt | 24 +- .../kotlinx/dataframe/api/distinct.kt | 2 +- .../jetbrains/kotlinx/dataframe/api/drop.kt | 8 +- .../jetbrains/kotlinx/dataframe/api/filter.kt | 2 +- .../jetbrains/kotlinx/dataframe/api/first.kt | 4 +- .../kotlinx/dataframe/api/frameCol.kt | 4 +- .../kotlinx/dataframe/api/frameCols.kt | 4 +- .../jetbrains/kotlinx/dataframe/api/last.kt | 4 +- .../jetbrains/kotlinx/dataframe/api/rename.kt | 4 +- .../jetbrains/kotlinx/dataframe/api/select.kt | 2 +- .../kotlinx/dataframe/api/simplify.kt | 2 +- .../jetbrains/kotlinx/dataframe/api/single.kt | 4 +- .../jetbrains/kotlinx/dataframe/api/take.kt | 8 +- .../kotlinx/dataframe/api/valueCol.kt | 4 +- .../kotlinx/dataframe/api/valueCols.kt | 4 +- .../kotlinx/dataframe/api/withoutNulls.kt | 4 +- .../DslGrammarTemplateColumnsSelectionDsl.kt | 16 +- docs/StardustDocs/topics/ColumnSelectors.md | 53 + 62 files changed, 1164 insertions(+), 2853 deletions(-) diff --git a/core/build.gradle.kts b/core/build.gradle.kts index 196eaba1c..bc99aa8b3 100644 --- a/core/build.gradle.kts +++ b/core/build.gradle.kts @@ -176,7 +176,6 @@ val installGitPreCommitHook by tasks.creating(Copy::class) { } else { logger.lifecycle("'.git/hooks' directory not found. Skipping installation of pre-commit hook.") } - } tasks.named("assemble") { dependsOn(installGitPreCommitHook) diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/ColumnsSelectionDsl.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/ColumnsSelectionDsl.kt index c5932183a..9fff13ab7 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/ColumnsSelectionDsl.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/ColumnsSelectionDsl.kt @@ -152,16 +152,16 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ *      * * ### Definitions: - * `columnGroupReference: `[String][String]` | `[KProperty][kotlin.reflect.KProperty]`<*>` + * `columnGroupReference: `[String][String]` | `[KProperty][kotlin.reflect.KProperty]`<*>` * - *                                          - * | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + *                                         + * `| `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * * `colSelector: `[ColumnSelector][org.jetbrains.kotlinx.dataframe.ColumnSelector] * * `colsSelector: `[ColumnsSelector][org.jetbrains.kotlinx.dataframe.ColumnsSelector] * - * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] + * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] * *             * `| `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] @@ -169,11 +169,11 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * - * `columnNoAccessor: `[String][String]` | `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `columnNoAccessor: `[String][String]` | `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * - * `columnOrSet: `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * `columnOrSet: `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * * `columnSet: `[ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` * @@ -201,7 +201,7 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * * `regex: `[Regex][Regex] * - * `singleColumn: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> + * `singleColumn: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` * * `T: Column type` * @@ -214,76 +214,61 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * *      * - * [column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef] [**..**][org.jetbrains.kotlinx.dataframe.api.ColumnRangeColumnsSelectionDsl.rangeTo] [column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef] + * [column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` `[**..**][org.jetbrains.kotlinx.dataframe.api.ColumnRangeColumnsSelectionDsl.rangeTo]` `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef] * - * `|` **`this`**`/`**`it`**[**`[`**][cols][column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` .. `[**`]`**][cols] + * `| `**`this`**`/`**`it`**[**`[`**][cols][column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` .. `[**`]`**][cols] * - * `|` **`this`**`/`**`it`**[**`[`**][cols]**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**[**`]`**][cols] + * `| `**`this`**`/`**`it`**[**`[`**][cols]**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**[**`]`**][cols] * - * `|` [**all**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]**`()`** + * `| `[**all**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]**`()`** * - * `|` **`all`**`(`[**Before**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`|`[**After**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`|`[**From**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`|`[**UpTo**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`)` `(` **`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`** `|` **`{`** [colSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSelectorDef] **`}`** `)` + * `| `**`all`**`(`[**Before**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`|`[**After**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`|`[**From**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`|`[**UpTo**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`) ( `**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`**` | `**`{ `**[colSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSelectorDef]**` }`**` )` * - * `|` [**allExcept**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept] **`{ `**[colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` }`** + * `| `[**allExcept**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]**` { `**[colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` }`** * - * `|` [**allExcept**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` ..`**`)`** + * `| `[**allExcept**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` ..`**`)`** * - * `|` [columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef] [**and**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` [ `**`{`**` ] `[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]` [ `**`}`**` ] ` + * `| `[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]` `[**and**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` [ `**`{`**` ] `[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]` [ `**`}`**` ] ` * - * `|` [columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef].[**and**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] **`(`**`|`**`{ `**[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**` }`**`|`**`)`** + * `| `[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**`.`**[**and**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]**` (`**`|`**`{ `**[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**` }`**`|`**`)`** * - * `|` `(` - * [**col**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.col] - * `|` [**valueCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCol] - * `|` [**frameCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.frameCol] - * `|` [**colGroup**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup] - * `)[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** + * `| (`[**col**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.col]`| `[**valueCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCol]`| `[**frameCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.frameCol]`| `[**colGroup**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`)[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** * - * `|` `(` - * [**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols] - * `|` [**valueCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols] - * `|` [**frameCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups] - * `|` [**colGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups] - * `) [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + * `| (`[**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`| `[**valueCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]`| `[**frameCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`| `[**colGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`) [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - * `|` [**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` .. | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`,`**` .. | `[indexRange][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexRangeDef]**`)`** + * `| `[**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` .. | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`,`**` .. | `[indexRange][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexRangeDef]**`)`** * - * `|` [**colsAtAnyDepth**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + * `| `[**colsAtAnyDepth**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - * `|` [**colsInGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `] + * `| `[**colsInGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - * `|` [**colsOf**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**` [` **`(`**[kType][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.KTypeDef]**`)`** `] [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + * `| `[**colsOf**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**` [ `**`(`**[kType][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.KTypeDef]**`)`**` ] [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - * `|` [**colsOfKind**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]**`(`**[kind][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnKindDef]**`,`**` ..`**`)`**` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + * `| `[**colsOfKind**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]**`(`**[kind][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnKindDef]**`,`**` ..`**`)`**` [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - * `|` [**drop**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.drop]`(`[**Last**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.dropLast]`)`**`(`**[number][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** + * `| `[**drop**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.drop]`(`[**Last**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.dropLast]`)`**`(`**[number][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** * - * `|` [**drop**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.dropWhile]`(`[**Last**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.dropLastWhile]`)`[**While**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.dropWhile]**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** + * `| `[**drop**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.dropWhile]`(`[**Last**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.dropLastWhile]`)`[**While**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.dropWhile]**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** * - * `|` [**expr**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.expr]**`(`**`[`[name][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NameDef]**`,`**`][`[infer][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.InferDef]`]`**`)`** **`{ `**[expression][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnExpressionDef]**` }`** + * `| `[**expr**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.expr]**`(`**`[`[name][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NameDef]**`,`**`][`[infer][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.InferDef]`]`**`) { `**[expression][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnExpressionDef]**` }`** * - * `|` `(` - * [**first**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.first] - * `|` [**last**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.last] - * `|` [**single**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.single] - * `) [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + * `| (`[**first**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.first]`| `[**last**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.last]`| `[**single**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.single]`) [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - * `|` [**nameContains**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameContains]**`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`,`** [ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[regex][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** + * `| `[**nameContains**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameContains]**`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[regex][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** * - * `|` - * **name**`(`[**Starts**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameEndsWith]`)`**`With`****`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`,`** [ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** + * `| `**`name`**`(`[**Starts**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameEndsWith]`)`**`With`****` (`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** * - * `|` [column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef] [**named**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.named]`/`[**into**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.into] [column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef] + * `| `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` `[**named**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.named]`/`[**into**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.into]` `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef] * - * `|` [column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]`(`.[**named**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.named]`|`.[**into**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.into]`)`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`** + * `| `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]`(`**`.`**[**named**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.named]`|`**`.`**[**into**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.into]`)`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`** * - * `|` [**none**][org.jetbrains.kotlinx.dataframe.api.NoneColumnsSelectionDsl.none]**`()`** + * `| `[**none**][org.jetbrains.kotlinx.dataframe.api.NoneColumnsSelectionDsl.none]**`()`** * - * `|` [**take**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.take]`(`[**Last**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.takeLast]`)`**`(`**[number][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** + * `| `[**take**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.take]`(`[**Last**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.takeLast]`)`**`(`**[number][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** * - * `|` [**take**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.takeWhile]`(`[**Last**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.takeLastWhile]`)`[**While**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.takeWhile]**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** + * `| `[**take**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.takeWhile]`(`[**Last**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.takeLastWhile]`)`[**While**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.takeWhile]**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** * - * `|` [**withoutNulls**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.withoutNulls]**`()`** + * `| `[**withoutNulls**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.withoutNulls]**`()`** * *      * @@ -296,71 +281,57 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * *     [**`[`**][ColumnsSelectionDsl.col][index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef][**`]`**][ColumnsSelectionDsl.col] * - *     `|` [**`[`**][cols][index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`,`**` .. | `[indexRange][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexRangeDef][**`]`**][cols]` + *     `| `[**`[`**][cols][index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`,`**` .. | `[indexRange][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexRangeDef][**`]`**][cols]` * - *     `|` [**`[`**][cols]**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**[**`]`**][cols] + *     `| `[**`[`**][cols]**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**[**`]`**][cols] * - *     `|` .[**all**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]**`()`** + *     `| `**`.`**[**all**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]**`()`** * - *     `|` .**`all`**`(`[**Before**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`|`[**After**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`|`[**From**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`|`[**UpTo**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`)` `(` **`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`** `|` **`{`** [condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef] **`}`** `)` + *     `| `**`.all`**`(`[**Before**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`|`[**After**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`|`[**From**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`|`[**UpTo**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`) ( `**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`**` | `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` )` * - *     `|` .[**and**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] **`(`**`|`**`{ `**[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**` }`**`|`**`)`** + *     `| `**`.`**[**and**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]**` (`**`|`**`{ `**[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**` }`**`|`**`)`** * - *     `|` `(` - * .[**col**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.col] - * `|` .[**valueCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCol] - * `|` .[**frameCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.frameCol] - * `|` .[**colGroup**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup] - * `)`**`(`**[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** + *     `| (`**`.`**[**col**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.col]`| `**`.`**[**valueCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCol]`| `**`.`**[**frameCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.frameCol]`| `**`.`**[**colGroup**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`)`**`(`**[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** * - *     `|` `(` - * .[**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols] - * `|` .[**valueCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols] - * `|` .[**frameCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups] - * `|` .[**colGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups] - * `) [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     `| (`**`.`**[**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`| `**`.`**[**valueCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]`| `**`.`**[**frameCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`| `**`.`**[**colGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`) [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - *     `|` .[**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]**`(`**[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`,`**` .. | `[indexRange][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexRangeDef]**`)`** + *     `| `**`.`**[**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]**`(`**[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`,`**` .. | `[indexRange][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexRangeDef]**`)`** * - *     `|` .[**colsAtAnyDepth**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     `| `**`.`**[**colsAtAnyDepth**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - *     `|` .[**colsInGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     `| `**`.`**[**colsInGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - *     `|` .[**colsOf**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**` [` **`(`**[kType][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.KTypeDef]**`)`** `] [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     `| `**`.`**[**colsOf**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**` [ `**`(`**[kType][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.KTypeDef]**`)`**` ] [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - *     `|` .[**colsOfKind**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]**`(`**[kind][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnKindDef]**`,`**` ..`**`)`**` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     `| `**`.`**[**colsOfKind**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]**`(`**[kind][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnKindDef]**`,`**` ..`**`)`**` [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - *     `|` .[**distinct**][org.jetbrains.kotlinx.dataframe.api.DistinctColumnsSelectionDsl.distinct]**`()`** + *     `| `**`.`**[**distinct**][org.jetbrains.kotlinx.dataframe.api.DistinctColumnsSelectionDsl.distinct]**`()`** * - *     `|` .[**drop**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.drop]`(`[**Last**][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.dropLast]`)`**`(`**[number][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** + *     `| `**`.`**[**drop**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.drop]`(`[**Last**][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.dropLast]`)`**`(`**[number][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** * - *     `|` .[**drop**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.dropWhile]`(`[**Last**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.dropLastWhile]`)`[**While**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.dropWhile]**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** + *     `| `**`.`**[**drop**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.dropWhile]`(`[**Last**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.dropLastWhile]`)`[**While**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.dropWhile]**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** * - *     `|` [**except**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.except] `[`**` { `**`]` [columnsResolver][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsResolverDef] `[`**` } `**`]` + *     `| `[**except**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.except]` [`**` { `**`] `[columnsResolver][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsResolverDef]` [`**` } `**`]` * - *     `|` [**except**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.except] [column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef] + *     `| `[**except**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.except]` `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef] * - *     `|` .[**except**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.except]**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` ..`**`)`** + *     `| `**`.`**[**except**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.except]**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` ..`**`)`** * - *     `|` .[**filter**][org.jetbrains.kotlinx.dataframe.api.FilterColumnsSelectionDsl.filter]**` {`** [condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef] **`}`** + *     `| `**`.`**[**filter**][org.jetbrains.kotlinx.dataframe.api.FilterColumnsSelectionDsl.filter]**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** * - *     `|` `(` - * .[**first**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.first] - * `|` .[**last**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.last] - * `|` .[**single**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.single] - * `) [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     `| (`**`.`**[**first**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.first]`| `**`.`**[**last**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.last]`| `**`.`**[**single**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.single]`) [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - *     `|` .**name**`(`[**Starts**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameEndsWith]`)`**`With`****`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`,`** [ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** + *     `| `**`.name`**`(`[**Starts**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameEndsWith]`)`**`With`****` (`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** * - *     `|` .[**nameContains**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameContains]**`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`,`** [ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[regex][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** + *     `| `**`.`**[**nameContains**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameContains]**`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[regex][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** * - *     `|` .[**simplify**][org.jetbrains.kotlinx.dataframe.api.SimplifyColumnsSelectionDsl.simplify]**`()`** + *     `| `**`.`**[**simplify**][org.jetbrains.kotlinx.dataframe.api.SimplifyColumnsSelectionDsl.simplify]**`()`** * - *     `|` .[**take**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.take]`(`[**Last**][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.takeLast]`)`**`(`**[number][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** + *     `| `**`.`**[**take**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.take]`(`[**Last**][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.takeLast]`)`**`(`**[number][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** * - *     `|` .[**take**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.takeWhile]`(`[**Last**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.takeLastWhile]`)`[**While**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.takeWhile]**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** + *     `| `**`.`**[**take**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.takeWhile]`(`[**Last**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.takeLastWhile]`)`[**While**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.takeWhile]**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** * - *     `|` .[**withoutNulls**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.withoutNulls]**`()`** + *     `| `**`.`**[**withoutNulls**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.withoutNulls]**`()`** * *      * @@ -371,69 +342,55 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     `|` [**`[`**][cols][column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` ..`[**`]`**][cols] + *     `| `[**`[`**][cols][column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` ..`[**`]`**][cols] * - *     `|` [**`[`**][cols]**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**[**`]`**][cols] + *     `| `[**`[`**][cols]**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**[**`]`**][cols] * - *     `|`[**` {`**][ColumnsSelectionDsl.select] [colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef] [**`}`**][ColumnsSelectionDsl.select] + *     `| `[**`{`**][ColumnsSelectionDsl.select]` `[colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]` `[**`}`**][ColumnsSelectionDsl.select] * - *     `|` .[**allCols**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]**`()`** + *     `| `**`.`**[**allCols**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]**`()`** * - *     `|` .**`allCols`**`(`[**Before**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`|`[**After**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`|`[**From**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`|`[**UpTo**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`)` `(` **`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`** `|` **`{`** [colSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSelectorDef] **`}`** `)` + *     `| `**`.allCols`**`(`[**Before**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`|`[**After**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`|`[**From**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`|`[**UpTo**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`) ( `**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`**` | `**`{ `**[colSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSelectorDef]**` }`**` )` * - *     `|` .[**allColsExcept**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.allColsExcept] **` { `**[colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` } `** + *     `| `**`.`**[**allColsExcept**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.allColsExcept]**` { `**[colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` } `** * - *     `|` .[**allColsExcept**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.allColsExcept]**`(`**[columnNoAccessor][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnNoAccessorDef]**`,`**` ..`**`)`** + *     `| `**`.`**[**allColsExcept**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.allColsExcept]**`(`**[columnNoAccessor][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnNoAccessorDef]**`,`**` ..`**`)`** * - *     `|` .[**and**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] **`(`**`|`**`{ `**[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**` }`**`|`**`)`** + *     `| `**`.`**[**and**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]**` (`**`|`**`{ `**[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**` }`**`|`**`)`** * - *     `| (` - * .[**col**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.col] - * `|` .[**valueCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCol] - * `|` .[**frameCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.frameCol] - * `|` .[**colGroup**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup] - * `)[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** + *     `| (`**`.`**[**col**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.col]`| `**`.`**[**valueCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCol]`| `**`.`**[**frameCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.frameCol]`| `**`.`**[**colGroup**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`)[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** * - *     `|` `(` - * .[**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols] - * `|` .[**valueCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols] - * `|` .[**frameCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups] - * `|` .[**colGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups] - * `) [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     `| (`**`.`**[**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`| `**`.`**[**valueCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]`| `**`.`**[**frameCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`| `**`.`**[**colGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`) [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - *     `|` .[**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` .. | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`,`**` .. | `[indexRange][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexRangeDef]**`)`** + *     `| `**`.`**[**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` .. | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`,`**` .. | `[indexRange][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexRangeDef]**`)`** * - *     `|` .[**colsAtAnyDepth**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     `| `**`.`**[**colsAtAnyDepth**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - *     `|` .[**colsInGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     `| `**`.`**[**colsInGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - *     `|` .**colsName**`(`[**Starts**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameStartsWith]`|`[**Ends**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameEndsWith]`)`**`With`****`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`,`** [ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** + *     `| `**`.colsName`**`(`[**Starts**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameStartsWith]`|`[**Ends**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameEndsWith]`)`**`With`****`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** * - *     `|` .[**colsNameContains**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameContains]**`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`,`** [ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[regex][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** + *     `| `**`.`**[**colsNameContains**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameContains]**`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[regex][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** * - *     `|` .[**colsOfKind**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]**`(`**[kind][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnKindDef]**`,`**` ..`**`)`**` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     `| `**`.`**[**colsOfKind**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]**`(`**[kind][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnKindDef]**`,`**` ..`**`)`**` [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - *     `|` .[**colsWithoutNulls**][org.jetbrains.kotlinx.dataframe.api.WithoutNullsColumnsSelectionDsl.colsWithoutNulls]**`()`** + *     `| `**`.`**[**colsWithoutNulls**][org.jetbrains.kotlinx.dataframe.api.WithoutNullsColumnsSelectionDsl.colsWithoutNulls]**`()`** * - *     `|` .[**drop**][org.jetbrains.kotlinx.dataframe.api.DropColumnsSelectionDsl.dropCols]`(`[**Last**][org.jetbrains.kotlinx.dataframe.api.DropColumnsSelectionDsl.dropLastCols]`)`[**Cols**][org.jetbrains.kotlinx.dataframe.api.DropColumnsSelectionDsl.dropCols]**`(`**[number][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** + *     `| `**`.`**[**drop**][org.jetbrains.kotlinx.dataframe.api.DropColumnsSelectionDsl.dropCols]`(`[**Last**][org.jetbrains.kotlinx.dataframe.api.DropColumnsSelectionDsl.dropLastCols]`)`[**Cols**][org.jetbrains.kotlinx.dataframe.api.DropColumnsSelectionDsl.dropCols]**`(`**[number][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** * - *     `|` .[**drop**][org.jetbrains.kotlinx.dataframe.api.DropColumnsSelectionDsl.dropColsWhile]`(`[**Last**][org.jetbrains.kotlinx.dataframe.api.DropColumnsSelectionDsl.dropLastColsWhile]`)`[**ColsWhile**][org.jetbrains.kotlinx.dataframe.api.DropColumnsSelectionDsl.dropColsWhile]**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** + *     `| `**`.`**[**drop**][org.jetbrains.kotlinx.dataframe.api.DropColumnsSelectionDsl.dropColsWhile]`(`[**Last**][org.jetbrains.kotlinx.dataframe.api.DropColumnsSelectionDsl.dropLastColsWhile]`)`[**ColsWhile**][org.jetbrains.kotlinx.dataframe.api.DropColumnsSelectionDsl.dropColsWhile]**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** * - *     `|` [**exceptNew**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.exceptNew] **` { `**[colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` } EXPERIMENTAL!`** + *     `| `[**exceptNew**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.exceptNew]**` { `**[colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` } EXPERIMENTAL!`** * - *     `|` [**exceptNew**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.exceptNew]**`(`**[columnNoAccessor][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnNoAccessorDef]**`,`**` ..`**`) EXPERIMENTAL!`** + *     `| `[**exceptNew**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.exceptNew]**`(`**[columnNoAccessor][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnNoAccessorDef]**`,`**` ..`**`) EXPERIMENTAL!`** * - *     `|` `(` - * .[**firstCol**][org.jetbrains.kotlinx.dataframe.api.FirstColumnsSelectionDsl.firstCol] - * `|` .[**lastCol**][org.jetbrains.kotlinx.dataframe.api.LastColumnsSelectionDsl.lastCol] - * `|` .[**singleCol**][org.jetbrains.kotlinx.dataframe.api.SingleColumnsSelectionDsl.singleCol] - * `) [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     `| (`**`.`**[**firstCol**][org.jetbrains.kotlinx.dataframe.api.FirstColumnsSelectionDsl.firstCol]`| `**`.`**[**lastCol**][org.jetbrains.kotlinx.dataframe.api.LastColumnsSelectionDsl.lastCol]`| `**`.`**[**singleCol**][org.jetbrains.kotlinx.dataframe.api.SingleColumnsSelectionDsl.singleCol]`) [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - *     `|` .[**select**][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]**` {`** [colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef] **`}`** + *     `| `**`.`**[**select**][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]**` { `**[colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` }`** * - *     `|` .[**take**][org.jetbrains.kotlinx.dataframe.api.TakeColumnsSelectionDsl.takeCols]`(`[**Last**][org.jetbrains.kotlinx.dataframe.api.TakeColumnsSelectionDsl.takeLastCols]`)`[**Cols**][org.jetbrains.kotlinx.dataframe.api.TakeColumnsSelectionDsl.takeCols]**`(`**[number][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** + *     `| `**`.`**[**take**][org.jetbrains.kotlinx.dataframe.api.TakeColumnsSelectionDsl.takeCols]`(`[**Last**][org.jetbrains.kotlinx.dataframe.api.TakeColumnsSelectionDsl.takeLastCols]`)`[**Cols**][org.jetbrains.kotlinx.dataframe.api.TakeColumnsSelectionDsl.takeCols]**`(`**[number][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** * - *     `|` .[**take**][org.jetbrains.kotlinx.dataframe.api.TakeColumnsSelectionDsl.takeColsWhile]`(`[**Last**][org.jetbrains.kotlinx.dataframe.api.TakeColumnsSelectionDsl.takeLastColsWhile]`)`[**ColsWhile**][org.jetbrains.kotlinx.dataframe.api.TakeColumnsSelectionDsl.takeColsWhile]**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** + *     `| `**`.`**[**take**][org.jetbrains.kotlinx.dataframe.api.TakeColumnsSelectionDsl.takeColsWhile]`(`[**Last**][org.jetbrains.kotlinx.dataframe.api.TakeColumnsSelectionDsl.takeLastColsWhile]`)`[**ColsWhile**][org.jetbrains.kotlinx.dataframe.api.TakeColumnsSelectionDsl.takeColsWhile]**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** * * *      @@ -441,7 +398,7 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * * [singleColumn][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.SingleColumnDef] * - *     .[**colsOf**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**` [` **`(`**[kType][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.KTypeDef]**`)`** `] [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     **`.`**[**colsOf**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**` [ `**`(`**[kType][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.KTypeDef]**`)`**` ] [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * * *      @@ -449,7 +406,7 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * * [columnGroupReference][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupNoSingleColumnDef] * - *     .[**colsOf**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>(`**[kType][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.KTypeDef]**`)`** ` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     **`.`**[**colsOf**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>(`**[kType][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.KTypeDef]**`)`**` [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * * * @@ -711,9 +668,9 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * * `df.`[select][DataFrame.select]` { "pathTo"["myColGroup"] `[{][ColumnPath.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[}][ColumnPath.select]` }` * - * `df.`[select][DataFrame.select]` { `[pathOf][pathOf]`("pathTo", "myColGroup").`[select][ColumnPath.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][DataFrame.select]` { `[pathOf][pathOf]`("pathTo", "myColGroup").`[select][ColumnPath.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` * - * `df.`[select][DataFrame.select]` { `[pathOf][pathOf]`("pathTo", "myColGroup")`[() {][ColumnPath.select]` someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() `[}][ColumnPath.select]` }` + * `df.`[select][DataFrame.select]` { `[pathOf][pathOf]`("pathTo", "myColGroup")`[() {][ColumnPath.select]` someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() `[}][ColumnPath.select]` }` * * *      diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/all.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/all.kt index a791079ba..cbfb358af 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/all.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/all.kt @@ -34,6 +34,7 @@ import org.jetbrains.kotlinx.dataframe.columns.size import org.jetbrains.kotlinx.dataframe.columns.values import org.jetbrains.kotlinx.dataframe.documentation.AccessApiLink import org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate +import org.jetbrains.kotlinx.dataframe.documentation.ExcludeFromSources import org.jetbrains.kotlinx.dataframe.documentation.Indent import org.jetbrains.kotlinx.dataframe.documentation.LineBreak import org.jetbrains.kotlinx.dataframe.impl.columns.TransformableColumnSet @@ -107,11 +108,11 @@ public interface AllColumnsSelectionDsl { * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] + * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] * *             * `| `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] @@ -133,7 +134,7 @@ public interface AllColumnsSelectionDsl { * * [**all**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]**`()`** * - * `|` **`all`**`(`[**Before**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`|`[**After**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`|`[**From**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`|`[**UpTo**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`)` `(` **`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`** `|` **`{`** [colSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSelectorDef] **`}`** `)` + * `| `**`all`**`(`[**Before**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`|`[**After**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`|`[**From**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`|`[**UpTo**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`) ( `**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`**` | `**`{ `**[colSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSelectorDef]**` }`**` )` * *      * @@ -144,9 +145,9 @@ public interface AllColumnsSelectionDsl { * * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     .[**all**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]**`()`** + *     **`.`**[**all**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]**`()`** * - *     `|` .**`all`**`(`[**Before**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`|`[**After**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`|`[**From**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`|`[**UpTo**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`)` `(` **`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`** `|` **`{`** [condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef] **`}`** `)` + *     `| .`**`all`**`(`[**Before**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`|`[**After**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`|`[**From**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`|`[**UpTo**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`) ( `**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`**` | `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` )` * *      * @@ -157,9 +158,9 @@ public interface AllColumnsSelectionDsl { * * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     .[**allCols**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]**`()`** + *     **`.`**[**allCols**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]**`()`** * - *     `|` .**`allCols`**`(`[**Before**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`|`[**After**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`|`[**From**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`|`[**UpTo**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`)` `(` **`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`** `|` **`{`** [colSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSelectorDef] **`}`** `)` + *     `| .`**`allCols`**`(`[**Before**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`|`[**After**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`|`[**From**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`|`[**UpTo**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`) ( `**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`**` | `**`{ `**[colSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSelectorDef]**` }`**` )` * * * @@ -179,10 +180,10 @@ public interface AllColumnsSelectionDsl { /** [**all**][ColumnsSelectionDsl.all] */ public interface PlainDslName - /** .[**all**][ColumnsSelectionDsl.all] */ + /** **`.`**[**all**][ColumnsSelectionDsl.all] */ public interface ColumnSetName - /** .[**allCols**][ColumnsSelectionDsl.allCols] */ + /** **`.`**[**allCols**][ColumnsSelectionDsl.allCols] */ public interface ColumnGroupName /** [**Before**][ColumnsSelectionDsl.allColsBefore] */ @@ -198,163 +199,13 @@ public interface AllColumnsSelectionDsl { public interface UpTo } - /** - * #### Flavors of All (Cols): - * - * - [all(Cols)][ColumnsSelectionDsl.allCols]`()`: - * All columns - * - * - [all(Cols)Before][ColumnsSelectionDsl.allColsBefore]`(column)`: - * All columns before the specified column, excluding that column - * - * - [all(Cols)After][ColumnsSelectionDsl.allColsAfter]`(column)`: - * All columns after the specified column, excluding that column - * - * - [all(Cols)From][ColumnsSelectionDsl.allColsFrom]`(column)`: - * All columns from the specified column, including that column - * - * - [all(Cols)UpTo][ColumnsSelectionDsl.allColsUpTo]`(column)`: - * All columns up to the specified column, including that column - */ - private interface AllFlavors - - /** - * ## - * - * Creates a new [ColumnSet] that contains a subset of columns from [this], - * containing all columns . - * - * [column] can be specified both relative to the current [ColumnGroup] or the outer scope and - * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. - * - * If [column] does not exist, . - * - *      - * - * NOTE: Using the `{}` overloads of these functions requires a [ColumnSelector] to be used - * in the Plain DSL, and on [column groups][ColumnGroup] and a [ColumnFilter] on [ColumnSets][ColumnSet]. - * - * ### Check out: [Grammar] - * - * #### For example: - * - * `df.`[select][DataFrame.select]` { `[][ColumnsSelectionDsl.]`("someColumn") }` - * - * `df.`[select][DataFrame.select]` { `[colGroup][ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[][SingleColumn.]`(someColumn) }` - * - * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[][ColumnSet.]`(Type::someColumn) }` - * - * #### Examples for this overload: - * - * - * - * #### Flavors of All (Cols): - * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: - * All columns - * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: - * All columns before the specified column, excluding that column - * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: - * All columns after the specified column, excluding that column - * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: - * All columns from the specified column, including that column - * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: - * All columns up to the specified column, including that column - * - * @return A new [ColumnSet] containing all columns . - * @see [allBefore] - * @see [allAfter] - * @see [allFrom] - * @see [allUpTo] - * @see [ColumnsSelectionDsl.allExcept] - * @see [all] - * @see [cols] - */ - private interface CommonAllSubsetDocs { - - /* The title of the function, a.k.a. "All (Cols) After" */ - interface TitleArg - - /* The exact name of the function, a.k.a. "allAfter" */ - interface FunctionArg + - /* The exact name of the function, a.k.a. "allColsAfter" */ - interface FunctionColsArg - - /* - * Small line of text explaining the behavior of the function, - * a.k.a. "after [column\], excluding [column\]" - */ - interface BehaviorArg - - /* - * Small line of text explaining what happens if `column` does not exist. - */ - interface ColumnDoesNotExistArg - - /* Example argument */ - interface ExampleArg - } + // region all - /** - * ## All (Cols) - * - * Creates a new [ColumnSet] that contains all columns from [this], - * the opposite of [none][ColumnsSelectionDsl.none]. - * - * This makes the function equivalent to [cols()][ColumnsSelectionDsl.cols] without filter. - * - * This function operates solely on columns at the top-level. - * - * NOTE: For [column groups][ColumnGroup], `all` is named `allCols` instead to avoid confusion. - * - * ### Check out: [Grammar] - * - * #### For example: - * `df.`[move][DataFrame.move]` { `[all][ColumnsSelectionDsl.all]`() }.`[under][MoveClause.under]`("info")` - * - * `df.`[select][DataFrame.select]` { myGroup.`[allCols][SingleColumn.allCols]`() }` - * - * #### Examples for this overload: - * - * - * - * #### Flavors of All (Cols): - * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: - * All columns - * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: - * All columns before the specified column, excluding that column - * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: - * All columns after the specified column, excluding that column - * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: - * All columns from the specified column, including that column - * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: - * All columns up to the specified column, including that column - * - * @see [ColumnsSelectionDsl.rangeTo] - * @see [ColumnsSelectionDsl.allBefore] - * @see [ColumnsSelectionDsl.allAfter] - * @see [ColumnsSelectionDsl.allFrom] - * @see [ColumnsSelectionDsl.allUpTo] - * @see [ColumnsSelectionDsl.allExcept] - * @see [ColumnsSelectionDsl.cols] - */ - private interface CommonAllDocs { - - /** Example argument */ - interface Examples - } + /** * ## All (Cols) @@ -731,8 +582,9 @@ public interface AllColumnsSelectionDsl { */ private interface AllAfterDocs - /** - * ## All (Cols) After + + + /** ## All (Cols) After * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], * containing all columns after [column], excluding [column] itself. @@ -759,7 +611,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[allAfter][ColumnSet.allAfter]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allAfter][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allAfter]` { myColumn `[in][String.contains]` it.`[name][ColumnWithPath.name]` } }` * * #### Flavors of All (Cols): * @@ -789,11 +641,9 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column after which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - private interface ColumnSetAllAfterDocs { - - /** Example argument to use */ - interface Arg - } + @Suppress("UNCHECKED_CAST") + public fun ColumnSet.allAfter(column: ColumnFilter): ColumnSet = + allAfterInternal(column as ColumnFilter<*>) as ColumnSet /** ## All (Cols) After * @@ -822,7 +672,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allAfter][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allAfter]` { myColumn `[in][String.contains]` it.`[name][ColumnWithPath.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allAfter][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allAfter]`("pathTo"["myColumn"]) }` * * #### Flavors of All (Cols): * @@ -853,8 +703,8 @@ public interface AllColumnsSelectionDsl { * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ @Suppress("UNCHECKED_CAST") - public fun ColumnSet.allAfter(column: ColumnFilter): ColumnSet = - allAfterInternal(column as ColumnFilter<*>) as ColumnSet + public fun ColumnSet.allAfter(column: ColumnPath): ColumnSet = + allAfterInternal { it.path == column } as ColumnSet /** ## All (Cols) After * @@ -883,7 +733,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allAfter][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allAfter]`("pathTo"["myColumn"]) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allAfter][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allAfter]`("myColumn") }` * * #### Flavors of All (Cols): * @@ -913,9 +763,8 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column after which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - @Suppress("UNCHECKED_CAST") - public fun ColumnSet.allAfter(column: ColumnPath): ColumnSet = - allAfterInternal { it.path == column } as ColumnSet + public fun ColumnSet.allAfter(column: String): ColumnSet = + allAfter(pathOf(column)) /** ## All (Cols) After * @@ -944,7 +793,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allAfter][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allAfter]`("myColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allAfter][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allAfter]`(myColumn) }` * * #### Flavors of All (Cols): * @@ -974,8 +823,8 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column after which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnSet.allAfter(column: String): ColumnSet = - allAfter(pathOf(column)) + public fun ColumnSet.allAfter(column: AnyColumnReference): ColumnSet = + allAfter(column.path()) /** ## All (Cols) After * @@ -1004,7 +853,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allAfter][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allAfter]`(myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allAfter][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allAfter]`(Type::myColumn) }` * * #### Flavors of All (Cols): * @@ -1034,8 +883,10 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column after which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnSet.allAfter(column: AnyColumnReference): ColumnSet = - allAfter(column.path()) + public fun ColumnSet.allAfter(column: KProperty<*>): ColumnSet = + allAfter(column.toColumnAccessor().path()) + + /** ## All (Cols) After * @@ -1064,7 +915,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allAfter][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allAfter]`(Type::myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]` { myColumn } }` * * #### Flavors of All (Cols): * @@ -1094,11 +945,10 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column after which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnSet.allAfter(column: KProperty<*>): ColumnSet = - allAfter(column.toColumnAccessor().path()) + public fun ColumnsSelectionDsl.allAfter(column: ColumnSelector): ColumnSet<*> = + asSingleColumn().allColsAfter(column) - /** - * ## All (Cols) After + /** ## All (Cols) After * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], * containing all columns after [column], excluding [column] itself. @@ -1125,7 +975,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`("pathTo"["myColumn"]) }` * * #### Flavors of All (Cols): * @@ -1155,11 +1005,8 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column after which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - private interface ColumnsSelectionDslAllAfterDocs { - - /** Example argument to use */ - interface Arg - } + public fun ColumnsSelectionDsl<*>.allAfter(column: ColumnPath): ColumnSet<*> = + asSingleColumn().allColsAfter(column) /** ## All (Cols) After * @@ -1188,7 +1035,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]` { myColumn } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`("myColumn") }` * * #### Flavors of All (Cols): * @@ -1218,8 +1065,8 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column after which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnsSelectionDsl.allAfter(column: ColumnSelector): ColumnSet<*> = - asSingleColumn().allColsAfter(column) + public fun ColumnsSelectionDsl<*>.allAfter(column: String): ColumnSet<*> = + allAfter(pathOf(column)) /** ## All (Cols) After * @@ -1248,7 +1095,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`("pathTo"["myColumn"]) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`(myColumn) }` * * #### Flavors of All (Cols): * @@ -1278,8 +1125,8 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column after which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnsSelectionDsl<*>.allAfter(column: ColumnPath): ColumnSet<*> = - asSingleColumn().allColsAfter(column) + public fun ColumnsSelectionDsl<*>.allAfter(column: AnyColumnReference): ColumnSet<*> = + allAfter(column.path()) /** ## All (Cols) After * @@ -1308,7 +1155,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`("myColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`(Type::myColumn) }` * * #### Flavors of All (Cols): * @@ -1338,8 +1185,10 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column after which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnsSelectionDsl<*>.allAfter(column: String): ColumnSet<*> = - allAfter(pathOf(column)) + public fun ColumnsSelectionDsl<*>.allAfter(column: KProperty<*>): ColumnSet<*> = + allAfter(column.toColumnAccessor().path()) + + /** ## All (Cols) After * @@ -1368,7 +1217,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`(myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsAfter][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsAfter]` { myColumn } }` * * #### Flavors of All (Cols): * @@ -1398,8 +1247,13 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column after which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnsSelectionDsl<*>.allAfter(column: AnyColumnReference): ColumnSet<*> = - allAfter(column.path()) + public fun SingleColumn>.allColsAfter(column: ColumnSelector): ColumnSet<*> { + var resolvedCol: DataColumn<*>? = null + return this + .ensureIsColumnGroup() + .onResolve { resolvedCol = it!!.asColumnGroup().getColumn(column) } + .allAfterInternal { it.data == resolvedCol!! } + } /** ## All (Cols) After * @@ -1428,7 +1282,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`(Type::myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsAfter][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsAfter]`("pathTo"["myColumn"]) }` * * #### Flavors of All (Cols): * @@ -1458,11 +1312,18 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column after which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnsSelectionDsl<*>.allAfter(column: KProperty<*>): ColumnSet<*> = - allAfter(column.toColumnAccessor().path()) + public fun SingleColumn>.allColsAfter(column: ColumnPath): ColumnSet<*> { + var path: ColumnPath? = null + return this + .ensureIsColumnGroup() + .onResolve { path = it!!.path } + .allAfterInternal { + // accept both relative and full column path + it.path == path!! + column || it.path == column + } + } - /** - * ## All (Cols) After + /** ## All (Cols) After * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], * containing all columns after [column], excluding [column] itself. @@ -1489,7 +1350,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { someColumnGroup.`[allColsAfter][SingleColumn.allColsAfter]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsAfter][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsAfter]`("myColumn") }` * * #### Flavors of All (Cols): * @@ -1519,11 +1380,8 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column after which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - private interface SingleColumnAllAfterDocs { - - /** Example argument to use */ - interface Arg - } + public fun SingleColumn>.allColsAfter(column: String): ColumnSet<*> = + allColsAfter(pathOf(column)) /** ## All (Cols) After * @@ -1552,7 +1410,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsAfter][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsAfter]` { myColumn } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsAfter][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsAfter]`(myColumn) }` * * #### Flavors of All (Cols): * @@ -1582,13 +1440,8 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column after which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun SingleColumn>.allColsAfter(column: ColumnSelector): ColumnSet<*> { - var resolvedCol: DataColumn<*>? = null - return this - .ensureIsColumnGroup() - .onResolve { resolvedCol = it!!.asColumnGroup().getColumn(column) } - .allAfterInternal { it.data == resolvedCol!! } - } + public fun SingleColumn>.allColsAfter(column: AnyColumnReference): ColumnSet<*> = + allColsAfter(column.path()) /** ## All (Cols) After * @@ -1617,7 +1470,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsAfter][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsAfter]`("pathTo"["myColumn"]) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsAfter][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsAfter]`(Type::myColumn) }` * * #### Flavors of All (Cols): * @@ -1647,16 +1500,10 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column after which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun SingleColumn>.allColsAfter(column: ColumnPath): ColumnSet<*> { - var path: ColumnPath? = null - return this - .ensureIsColumnGroup() - .onResolve { path = it!!.path } - .allAfterInternal { - // accept both relative and full column path - it.path == path!! + column || it.path == column - } - } + public fun SingleColumn>.allColsAfter(column: KProperty<*>): ColumnSet<*> = + allColsAfter(column.toColumnAccessor().path()) + + /** ## All (Cols) After * @@ -1685,7 +1532,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsAfter][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsAfter]`("myColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsAfter][kotlin.String.allColsAfter]` { myColumn } }` * * #### Flavors of All (Cols): * @@ -1715,8 +1562,8 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column after which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun SingleColumn>.allColsAfter(column: String): ColumnSet<*> = - allColsAfter(pathOf(column)) + public fun String.allColsAfter(column: ColumnSelector<*, *>): ColumnSet<*> = + columnGroup(this).allColsAfter(column) /** ## All (Cols) After * @@ -1745,7 +1592,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsAfter][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsAfter]`(myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsAfter][kotlin.String.allColsAfter]`("pathTo"["myColumn"]) }` * * #### Flavors of All (Cols): * @@ -1775,8 +1622,8 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column after which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun SingleColumn>.allColsAfter(column: AnyColumnReference): ColumnSet<*> = - allColsAfter(column.path()) + public fun String.allColsAfter(column: ColumnPath): ColumnSet<*> = + columnGroup(this).allColsAfter(column) /** ## All (Cols) After * @@ -1805,7 +1652,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsAfter][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsAfter]`(Type::myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsAfter][kotlin.String.allColsAfter]`("myColumn") }` * * #### Flavors of All (Cols): * @@ -1835,11 +1682,10 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column after which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun SingleColumn>.allColsAfter(column: KProperty<*>): ColumnSet<*> = - allColsAfter(column.toColumnAccessor().path()) + public fun String.allColsAfter(column: String): ColumnSet<*> = + columnGroup(this).allColsAfter(column) - /** - * ## All (Cols) After + /** ## All (Cols) After * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], * containing all columns after [column], excluding [column] itself. @@ -1866,7 +1712,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { "someColGroup".`[allColsAfter][String.allColsAfter]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsAfter][kotlin.String.allColsAfter]`(myColumn) }` * * #### Flavors of All (Cols): * @@ -1896,11 +1742,8 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column after which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - private interface StringAllAfterDocs { - - /** Example argument to use */ - interface Arg - } + public fun String.allColsAfter(column: AnyColumnReference): ColumnSet<*> = + columnGroup(this).allColsAfter(column) /** ## All (Cols) After * @@ -1929,7 +1772,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsAfter][kotlin.String.allColsAfter]` { myColumn } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsAfter][kotlin.String.allColsAfter]`(Type::myColumn) }` * * #### Flavors of All (Cols): * @@ -1959,10 +1802,13 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column after which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun String.allColsAfter(column: ColumnSelector<*, *>): ColumnSet<*> = + public fun String.allColsAfter(column: KProperty<*>): ColumnSet<*> = columnGroup(this).allColsAfter(column) - /** ## All (Cols) After + + + /** + * ## All (Cols) After * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], * containing all columns after [column], excluding [column] itself. @@ -1989,7 +1835,12 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsAfter][kotlin.String.allColsAfter]`("pathTo"["myColumn"]) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::myColGroup.`[allColsAfter][kotlin.reflect.KProperty.allColsAfter]` { myColumn } }` + * + * ## NOTE: + * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you + * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler + * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). * * #### Flavors of All (Cols): * @@ -2019,10 +1870,14 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column after which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun String.allColsAfter(column: ColumnPath): ColumnSet<*> = + @OptIn(ExperimentalTypeInference::class) + @OverloadResolutionByLambdaReturnType + // TODO: [KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument) + public fun KProperty.allColsAfter(column: ColumnSelector): ColumnSet<*> = columnGroup(this).allColsAfter(column) - /** ## All (Cols) After + /** + * ## All (Cols) After * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], * containing all columns after [column], excluding [column] itself. @@ -2049,7 +1904,12 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsAfter][kotlin.String.allColsAfter]`("myColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::myColGroup.`[allColsAfter][kotlin.reflect.KProperty.allColsAfter]` { myColumn } }` + * + * ## NOTE: + * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you + * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler + * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). * * #### Flavors of All (Cols): * @@ -2079,7 +1939,9 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column after which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun String.allColsAfter(column: String): ColumnSet<*> = + @Suppress("INAPPLICABLE_JVM_NAME") + @JvmName("KPropertyDataRowAllColsAfter") + public fun KProperty>.allColsAfter(column: ColumnSelector): ColumnSet<*> = columnGroup(this).allColsAfter(column) /** ## All (Cols) After @@ -2109,7 +1971,12 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsAfter][kotlin.String.allColsAfter]`(myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::myColGroup.`[allColsAfter][kotlin.reflect.KProperty.allColsAfter]`("pathTo"["myColumn"]) }` + * + * ## NOTE: + * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you + * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler + * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). * * #### Flavors of All (Cols): * @@ -2139,7 +2006,7 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column after which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun String.allColsAfter(column: AnyColumnReference): ColumnSet<*> = + public fun KProperty<*>.allColsAfter(column: ColumnPath): ColumnSet<*> = columnGroup(this).allColsAfter(column) /** ## All (Cols) After @@ -2169,7 +2036,12 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsAfter][kotlin.String.allColsAfter]`(Type::myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::myColGroup.`[allColsAfter][kotlin.reflect.KProperty.allColsAfter]`("myColumn") }` + * + * ## NOTE: + * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you + * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler + * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). * * #### Flavors of All (Cols): * @@ -2199,11 +2071,10 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column after which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun String.allColsAfter(column: KProperty<*>): ColumnSet<*> = + public fun KProperty<*>.allColsAfter(column: String): ColumnSet<*> = columnGroup(this).allColsAfter(column) - /** - * ## All (Cols) After + /** ## All (Cols) After * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], * containing all columns after [column], excluding [column] itself. @@ -2230,12 +2101,12 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { DataSchemaType::myColGroup.`[allColsAfter][KProperty.allColsAfter]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::myColGroup.`[allColsAfter][kotlin.reflect.KProperty.allColsAfter]`(myColumn) }` * * ## NOTE: * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler - * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). + * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). * * #### Flavors of All (Cols): * @@ -2265,14 +2136,10 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column after which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - private interface KPropertyAllAfterDocs { - - /** Example argument to use */ - interface Arg - } + public fun KProperty<*>.allColsAfter(column: AnyColumnReference): ColumnSet<*> = + columnGroup(this).allColsAfter(column) - /** - * ## All (Cols) After + /** ## All (Cols) After * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], * containing all columns after [column], excluding [column] itself. @@ -2299,7 +2166,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::myColGroup.`[allColsAfter][kotlin.reflect.KProperty.allColsAfter]` { myColumn } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::myColGroup.`[allColsAfter][kotlin.reflect.KProperty.allColsAfter]`(Type::myColumn) }` * * ## NOTE: * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you @@ -2334,14 +2201,12 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column after which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - @OptIn(ExperimentalTypeInference::class) - @OverloadResolutionByLambdaReturnType - // TODO: [KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument) - public fun KProperty.allColsAfter(column: ColumnSelector): ColumnSet<*> = + public fun KProperty<*>.allColsAfter(column: KProperty<*>): ColumnSet<*> = columnGroup(this).allColsAfter(column) - /** - * ## All (Cols) After + + + /** ## All (Cols) After * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], * containing all columns after [column], excluding [column] itself. @@ -2368,12 +2233,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::myColGroup.`[allColsAfter][kotlin.reflect.KProperty.allColsAfter]` { myColumn } }` - * - * ## NOTE: - * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you - * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler - * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["someColGroup"].`[allColsAfter][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.allColsAfter]` { myColumn } }` * * #### Flavors of All (Cols): * @@ -2403,9 +2263,7 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column after which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - @Suppress("INAPPLICABLE_JVM_NAME") - @JvmName("KPropertyDataRowAllColsAfter") - public fun KProperty>.allColsAfter(column: ColumnSelector): ColumnSet<*> = + public fun ColumnPath.allColsAfter(column: ColumnSelector<*, *>): ColumnSet<*> = columnGroup(this).allColsAfter(column) /** ## All (Cols) After @@ -2435,12 +2293,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::myColGroup.`[allColsAfter][kotlin.reflect.KProperty.allColsAfter]`("pathTo"["myColumn"]) }` - * - * ## NOTE: - * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you - * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler - * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["someColGroup"].`[allColsAfter][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.allColsAfter]`("pathTo"["myColumn"]) }` * * #### Flavors of All (Cols): * @@ -2470,7 +2323,7 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column after which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun KProperty<*>.allColsAfter(column: ColumnPath): ColumnSet<*> = + public fun ColumnPath.allColsAfter(column: ColumnPath): ColumnSet<*> = columnGroup(this).allColsAfter(column) /** ## All (Cols) After @@ -2500,12 +2353,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::myColGroup.`[allColsAfter][kotlin.reflect.KProperty.allColsAfter]`("myColumn") }` - * - * ## NOTE: - * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you - * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler - * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["someColGroup"].`[allColsAfter][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.allColsAfter]`("myColumn") }` * * #### Flavors of All (Cols): * @@ -2535,7 +2383,7 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column after which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun KProperty<*>.allColsAfter(column: String): ColumnSet<*> = + public fun ColumnPath.allColsAfter(column: String): ColumnSet<*> = columnGroup(this).allColsAfter(column) /** ## All (Cols) After @@ -2565,12 +2413,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::myColGroup.`[allColsAfter][kotlin.reflect.KProperty.allColsAfter]`(myColumn) }` - * - * ## NOTE: - * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you - * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler - * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["someColGroup"].`[allColsAfter][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.allColsAfter]`(myColumn) }` * * #### Flavors of All (Cols): * @@ -2600,7 +2443,7 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column after which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun KProperty<*>.allColsAfter(column: AnyColumnReference): ColumnSet<*> = + public fun ColumnPath.allColsAfter(column: AnyColumnReference): ColumnSet<*> = columnGroup(this).allColsAfter(column) /** ## All (Cols) After @@ -2630,12 +2473,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::myColGroup.`[allColsAfter][kotlin.reflect.KProperty.allColsAfter]`(Type::myColumn) }` - * - * ## NOTE: - * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you - * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler - * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["someColGroup"].`[allColsAfter][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.allColsAfter]`(Type::myColumn) }` * * #### Flavors of All (Cols): * @@ -2665,19 +2503,23 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column after which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun KProperty<*>.allColsAfter(column: KProperty<*>): ColumnSet<*> = + public fun ColumnPath.allColsAfter(column: KProperty<*>): ColumnSet<*> = columnGroup(this).allColsAfter(column) + // endregion + + // region allFrom + /** - * ## All (Cols) After + * ## All (Cols) From * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns after [column], excluding [column] itself. + * containing all columns from [column], including [column] itself. * * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. * - * If [column] does not exist, the function will return an empty [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. + * If [column] does not exist, the function will return an empty [ColumnSet][ColumnSet]. * *      * @@ -2688,15 +2530,15 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { "pathTo"["someColGroup"].`[allColsAfter][ColumnPath.allColsAfter]` }` + * * * #### Flavors of All (Cols): * @@ -2715,7 +2557,7 @@ public interface AllColumnsSelectionDsl { * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. + * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. * @see [allBefore] * @see [allAfter] * @see [allFrom] @@ -2723,19 +2565,17 @@ public interface AllColumnsSelectionDsl { * @see [ColumnsSelectionDsl.allExcept] * @see [all] * @see [cols] - * @param [column] The specified column after which all columns should be taken. This column can be referenced - * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. + * @param [column] The specified column from which all columns should be taken. This column can be referenced + * to both relatively to the current [ColumnsResolver] and absolutely. */ - private interface ColumnPathAllAfterDocs { + private interface AllFromDocs - /** Example argument to use */ - interface Arg - } + - /** ## All (Cols) After + /** ## All (Cols) From * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns after [column], excluding [column] itself. + * containing all columns from [column], including [column] itself. * * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. @@ -2751,15 +2591,15 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["someColGroup"].`[allColsAfter][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.allColsAfter]` { myColumn } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allFrom][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allFrom]` { myColumn `[in][String.contains]` it.`[name][ColumnWithPath.name]` } }` * * #### Flavors of All (Cols): * @@ -2778,7 +2618,7 @@ public interface AllColumnsSelectionDsl { * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. + * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. * @see [allBefore] * @see [allAfter] * @see [allFrom] @@ -2786,16 +2626,17 @@ public interface AllColumnsSelectionDsl { * @see [ColumnsSelectionDsl.allExcept] * @see [all] * @see [cols] - * @param [column] The specified column after which all columns should be taken. This column can be referenced + * @param [column] The specified column from which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnPath.allColsAfter(column: ColumnSelector<*, *>): ColumnSet<*> = - columnGroup(this).allColsAfter(column) + @Suppress("UNCHECKED_CAST") + public fun ColumnSet.allFrom(column: ColumnFilter): ColumnSet = + allFromInternal(column as ColumnFilter<*>) as ColumnSet - /** ## All (Cols) After + /** ## All (Cols) From * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns after [column], excluding [column] itself. + * containing all columns from [column], including [column] itself. * * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. @@ -2811,15 +2652,15 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["someColGroup"].`[allColsAfter][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.allColsAfter]`("pathTo"["myColumn"]) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allFrom][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allFrom]`("pathTo"["myColumn"]) }` * * #### Flavors of All (Cols): * @@ -2838,7 +2679,7 @@ public interface AllColumnsSelectionDsl { * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. + * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. * @see [allBefore] * @see [allAfter] * @see [allFrom] @@ -2846,16 +2687,17 @@ public interface AllColumnsSelectionDsl { * @see [ColumnsSelectionDsl.allExcept] * @see [all] * @see [cols] - * @param [column] The specified column after which all columns should be taken. This column can be referenced + * @param [column] The specified column from which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnPath.allColsAfter(column: ColumnPath): ColumnSet<*> = - columnGroup(this).allColsAfter(column) + @Suppress("UNCHECKED_CAST") + public fun ColumnSet.allFrom(column: ColumnPath): ColumnSet = + allFromInternal { it.path == column } as ColumnSet - /** ## All (Cols) After + /** ## All (Cols) From * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns after [column], excluding [column] itself. + * containing all columns from [column], including [column] itself. * * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. @@ -2871,15 +2713,15 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["someColGroup"].`[allColsAfter][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.allColsAfter]`("myColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allFrom][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allFrom]`("myColumn") }` * * #### Flavors of All (Cols): * @@ -2898,7 +2740,7 @@ public interface AllColumnsSelectionDsl { * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. + * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. * @see [allBefore] * @see [allAfter] * @see [allFrom] @@ -2906,16 +2748,16 @@ public interface AllColumnsSelectionDsl { * @see [ColumnsSelectionDsl.allExcept] * @see [all] * @see [cols] - * @param [column] The specified column after which all columns should be taken. This column can be referenced + * @param [column] The specified column from which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnPath.allColsAfter(column: String): ColumnSet<*> = - columnGroup(this).allColsAfter(column) + public fun ColumnSet.allFrom(column: String): ColumnSet = + allFrom(pathOf(column)) - /** ## All (Cols) After + /** ## All (Cols) From * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns after [column], excluding [column] itself. + * containing all columns from [column], including [column] itself. * * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. @@ -2931,15 +2773,15 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["someColGroup"].`[allColsAfter][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.allColsAfter]`(myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allFrom][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allFrom]`(myColumn) }` * * #### Flavors of All (Cols): * @@ -2958,7 +2800,7 @@ public interface AllColumnsSelectionDsl { * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. + * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. * @see [allBefore] * @see [allAfter] * @see [allFrom] @@ -2966,16 +2808,16 @@ public interface AllColumnsSelectionDsl { * @see [ColumnsSelectionDsl.allExcept] * @see [all] * @see [cols] - * @param [column] The specified column after which all columns should be taken. This column can be referenced + * @param [column] The specified column from which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnPath.allColsAfter(column: AnyColumnReference): ColumnSet<*> = - columnGroup(this).allColsAfter(column) + public fun ColumnSet.allFrom(column: AnyColumnReference): ColumnSet = + allFrom(column.path()) - /** ## All (Cols) After + /** ## All (Cols) From * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns after [column], excluding [column] itself. + * containing all columns from [column], including [column] itself. * * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. @@ -2991,15 +2833,15 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["someColGroup"].`[allColsAfter][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.allColsAfter]`(Type::myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allFrom][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allFrom]`(Type::myColumn) }` * * #### Flavors of All (Cols): * @@ -3018,7 +2860,7 @@ public interface AllColumnsSelectionDsl { * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. + * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. * @see [allBefore] * @see [allAfter] * @see [allFrom] @@ -3026,18 +2868,15 @@ public interface AllColumnsSelectionDsl { * @see [ColumnsSelectionDsl.allExcept] * @see [all] * @see [cols] - * @param [column] The specified column after which all columns should be taken. This column can be referenced + * @param [column] The specified column from which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnPath.allColsAfter(column: KProperty<*>): ColumnSet<*> = - columnGroup(this).allColsAfter(column) + public fun ColumnSet.allFrom(column: KProperty<*>): ColumnSet = + allFrom(column.toColumnAccessor().path()) - // endregion + - // region allFrom - - /** - * ## All (Cols) From + /** ## All (Cols) From * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], * containing all columns from [column], including [column] itself. @@ -3045,7 +2884,7 @@ public interface AllColumnsSelectionDsl { * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. * - * If [column] does not exist, the function will return an empty [ColumnSet][ColumnSet]. + * If [column] does not exist, the function will return an empty [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. * *      * @@ -3064,7 +2903,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allFrom]` { myColumn } }` * * #### Flavors of All (Cols): * @@ -3092,12 +2931,12 @@ public interface AllColumnsSelectionDsl { * @see [all] * @see [cols] * @param [column] The specified column from which all columns should be taken. This column can be referenced - * to both relatively to the current [ColumnsResolver] and absolutely. + * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - private interface AllFromDocs + public fun ColumnsSelectionDsl.allFrom(column: ColumnSelector): ColumnSet<*> = + asSingleColumn().allColsFrom(column) - /** - * ## All (Cols) From + /** ## All (Cols) From * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], * containing all columns from [column], including [column] itself. @@ -3124,7 +2963,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[allFrom][ColumnSet.allFrom]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allFrom]`("pathTo"["myColumn"]) }` * * #### Flavors of All (Cols): * @@ -3154,11 +2993,8 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column from which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - private interface ColumnSetAllFromDocs { - - /** Example argument to use */ - interface Arg - } + public fun ColumnsSelectionDsl<*>.allFrom(column: ColumnPath): ColumnSet<*> = + asSingleColumn().allColsFrom(column) /** ## All (Cols) From * @@ -3187,7 +3023,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allFrom][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allFrom]` { myColumn `[in][String.contains]` it.`[name][ColumnWithPath.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allFrom]`("myColumn") }` * * #### Flavors of All (Cols): * @@ -3217,9 +3053,8 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column from which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - @Suppress("UNCHECKED_CAST") - public fun ColumnSet.allFrom(column: ColumnFilter): ColumnSet = - allFromInternal(column as ColumnFilter<*>) as ColumnSet + public fun ColumnsSelectionDsl<*>.allFrom(column: String): ColumnSet<*> = + asSingleColumn().allColsFrom(column) /** ## All (Cols) From * @@ -3248,7 +3083,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allFrom][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allFrom]`("pathTo"["myColumn"]) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allFrom]`(myColumn) }` * * #### Flavors of All (Cols): * @@ -3278,9 +3113,8 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column from which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - @Suppress("UNCHECKED_CAST") - public fun ColumnSet.allFrom(column: ColumnPath): ColumnSet = - allFromInternal { it.path == column } as ColumnSet + public fun ColumnsSelectionDsl<*>.allFrom(column: AnyColumnReference): ColumnSet<*> = + asSingleColumn().allColsFrom(column) /** ## All (Cols) From * @@ -3309,7 +3143,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allFrom][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allFrom]`("myColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allFrom]`(Type::myColumn) }` * * #### Flavors of All (Cols): * @@ -3339,8 +3173,10 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column from which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnSet.allFrom(column: String): ColumnSet = - allFrom(pathOf(column)) + public fun ColumnsSelectionDsl<*>.allFrom(column: KProperty<*>): ColumnSet<*> = + asSingleColumn().allColsFrom(column) + + /** ## All (Cols) From * @@ -3369,7 +3205,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allFrom][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allFrom]`(myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsFrom][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsFrom]` { myColumn } }` * * #### Flavors of All (Cols): * @@ -3399,8 +3235,13 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column from which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnSet.allFrom(column: AnyColumnReference): ColumnSet = - allFrom(column.path()) + public fun SingleColumn>.allColsFrom(column: ColumnSelector): ColumnSet<*> { + var resolvedCol: DataColumn<*>? = null + return this + .ensureIsColumnGroup() + .onResolve { resolvedCol = it!!.asColumnGroup().getColumn(column) } + .allFromInternal { it.data == resolvedCol!! } + } /** ## All (Cols) From * @@ -3429,7 +3270,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allFrom][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allFrom]`(Type::myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsFrom][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsFrom]`("pathTo"["myColumn"]) }` * * #### Flavors of All (Cols): * @@ -3459,11 +3300,18 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column from which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnSet.allFrom(column: KProperty<*>): ColumnSet = - allFrom(column.toColumnAccessor().path()) + public fun SingleColumn>.allColsFrom(column: ColumnPath): ColumnSet<*> { + var path: ColumnPath? = null + return this + .ensureIsColumnGroup() + .onResolve { path = it!!.path } + .allFromInternal { + // accept both relative and full column path + it.path == path!! + column || it.path == column + } + } - /** - * ## All (Cols) From + /** ## All (Cols) From * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], * containing all columns from [column], including [column] itself. @@ -3490,7 +3338,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsFrom][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsFrom]`("myColumn") }` * * #### Flavors of All (Cols): * @@ -3520,11 +3368,8 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column from which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - private interface ColumnsSelectionDslAllFromDocs { - - /** Example argument to use */ - interface Arg - } + public fun SingleColumn>.allColsFrom(column: String): ColumnSet<*> = + allColsFrom(pathOf(column)) /** ## All (Cols) From * @@ -3553,7 +3398,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allFrom]` { myColumn } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsFrom][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsFrom]`(myColumn) }` * * #### Flavors of All (Cols): * @@ -3583,8 +3428,8 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column from which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnsSelectionDsl.allFrom(column: ColumnSelector): ColumnSet<*> = - asSingleColumn().allColsFrom(column) + public fun SingleColumn>.allColsFrom(column: AnyColumnReference): ColumnSet<*> = + allColsFrom(column.path()) /** ## All (Cols) From * @@ -3613,7 +3458,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allFrom]`("pathTo"["myColumn"]) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsFrom][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsFrom]`(Type::myColumn) }` * * #### Flavors of All (Cols): * @@ -3643,8 +3488,10 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column from which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnsSelectionDsl<*>.allFrom(column: ColumnPath): ColumnSet<*> = - asSingleColumn().allColsFrom(column) + public fun SingleColumn>.allColsFrom(column: KProperty<*>): ColumnSet<*> = + allColsFrom(column.toColumnAccessor().path()) + + /** ## All (Cols) From * @@ -3673,7 +3520,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allFrom]`("myColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsFrom][kotlin.String.allColsFrom]` { myColumn } }` * * #### Flavors of All (Cols): * @@ -3703,8 +3550,8 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column from which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnsSelectionDsl<*>.allFrom(column: String): ColumnSet<*> = - asSingleColumn().allColsFrom(column) + public fun String.allColsFrom(column: ColumnSelector<*, *>): ColumnSet<*> = + columnGroup(this).allColsFrom(column) /** ## All (Cols) From * @@ -3733,7 +3580,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allFrom]`(myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsFrom][kotlin.String.allColsFrom]`("pathTo"["myColumn"]) }` * * #### Flavors of All (Cols): * @@ -3763,8 +3610,8 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column from which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnsSelectionDsl<*>.allFrom(column: AnyColumnReference): ColumnSet<*> = - asSingleColumn().allColsFrom(column) + public fun String.allColsFrom(column: ColumnPath): ColumnSet<*> = + columnGroup(this).allColsFrom(column) /** ## All (Cols) From * @@ -3793,7 +3640,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allFrom]`(Type::myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsFrom][kotlin.String.allColsFrom]`("myColumn") }` * * #### Flavors of All (Cols): * @@ -3823,11 +3670,10 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column from which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnsSelectionDsl<*>.allFrom(column: KProperty<*>): ColumnSet<*> = - asSingleColumn().allColsFrom(column) + public fun String.allColsFrom(column: String): ColumnSet<*> = + columnGroup(this).allColsFrom(column) - /** - * ## All (Cols) From + /** ## All (Cols) From * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], * containing all columns from [column], including [column] itself. @@ -3854,7 +3700,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { someColumnGroup.`[allColsFrom][SingleColumn.allColsFrom]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsFrom][kotlin.String.allColsFrom]`(myColumn) }` * * #### Flavors of All (Cols): * @@ -3884,11 +3730,8 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column from which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - private interface SingleColumnAllFromDocs { - - /** Example argument to use */ - interface Arg - } + public fun String.allColsFrom(column: AnyColumnReference): ColumnSet<*> = + columnGroup(this).allColsFrom(column) /** ## All (Cols) From * @@ -3917,7 +3760,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsFrom][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsFrom]` { myColumn } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsFrom][kotlin.String.allColsFrom]`(Type::myColumn) }` * * #### Flavors of All (Cols): * @@ -3947,15 +3790,13 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column from which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun SingleColumn>.allColsFrom(column: ColumnSelector): ColumnSet<*> { - var resolvedCol: DataColumn<*>? = null - return this - .ensureIsColumnGroup() - .onResolve { resolvedCol = it!!.asColumnGroup().getColumn(column) } - .allFromInternal { it.data == resolvedCol!! } - } + public fun String.allColsFrom(column: KProperty<*>): ColumnSet<*> = + columnGroup(this).allColsFrom(column) - /** ## All (Cols) From + + + /** + * ## All (Cols) From * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], * containing all columns from [column], including [column] itself. @@ -3982,7 +3823,12 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsFrom][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsFrom]`("pathTo"["myColumn"]) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::someColGroup.`[allColsFrom][kotlin.reflect.KProperty.allColsFrom]` { myColumn } }` + * + * ## NOTE: + * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you + * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler + * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). * * #### Flavors of All (Cols): * @@ -4012,18 +3858,14 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column from which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun SingleColumn>.allColsFrom(column: ColumnPath): ColumnSet<*> { - var path: ColumnPath? = null - return this - .ensureIsColumnGroup() - .onResolve { path = it!!.path } - .allFromInternal { - // accept both relative and full column path - it.path == path!! + column || it.path == column - } - } + @OptIn(ExperimentalTypeInference::class) + @OverloadResolutionByLambdaReturnType + // TODO: [KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument) + public fun KProperty.allColsFrom(column: ColumnSelector): ColumnSet<*> = + columnGroup(this).allColsFrom(column) - /** ## All (Cols) From + /** + * ## All (Cols) From * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], * containing all columns from [column], including [column] itself. @@ -4050,7 +3892,12 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsFrom][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsFrom]`("myColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::someColGroup.`[allColsFrom][kotlin.reflect.KProperty.allColsFrom]` { myColumn } }` + * + * ## NOTE: + * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you + * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler + * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). * * #### Flavors of All (Cols): * @@ -4080,8 +3927,10 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column from which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun SingleColumn>.allColsFrom(column: String): ColumnSet<*> = - allColsFrom(pathOf(column)) + @Suppress("INAPPLICABLE_JVM_NAME") + @JvmName("KPropertyDataRowAllColsFrom") + public fun KProperty>.allColsFrom(column: ColumnSelector): ColumnSet<*> = + columnGroup(this).allColsFrom(column) /** ## All (Cols) From * @@ -4110,7 +3959,12 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsFrom][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsFrom]`(myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::someColGroup.`[allColsFrom][kotlin.reflect.KProperty.allColsFrom]`("pathTo"["myColumn"]) }` + * + * ## NOTE: + * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you + * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler + * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). * * #### Flavors of All (Cols): * @@ -4140,8 +3994,8 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column from which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun SingleColumn>.allColsFrom(column: AnyColumnReference): ColumnSet<*> = - allColsFrom(column.path()) + public fun KProperty<*>.allColsFrom(column: ColumnPath): ColumnSet<*> = + columnGroup(this).allColsFrom(column) /** ## All (Cols) From * @@ -4170,7 +4024,12 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsFrom][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsFrom]`(Type::myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::someColGroup.`[allColsFrom][kotlin.reflect.KProperty.allColsFrom]`("myColumn") }` + * + * ## NOTE: + * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you + * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler + * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). * * #### Flavors of All (Cols): * @@ -4200,11 +4059,10 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column from which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun SingleColumn>.allColsFrom(column: KProperty<*>): ColumnSet<*> = - allColsFrom(column.toColumnAccessor().path()) + public fun KProperty<*>.allColsFrom(column: String): ColumnSet<*> = + columnGroup(this).allColsFrom(column) - /** - * ## All (Cols) From + /** ## All (Cols) From * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], * containing all columns from [column], including [column] itself. @@ -4231,7 +4089,12 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { "someColGroup".`[allColsFrom][String.allColsFrom]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::someColGroup.`[allColsFrom][kotlin.reflect.KProperty.allColsFrom]`(myColumn) }` + * + * ## NOTE: + * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you + * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler + * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). * * #### Flavors of All (Cols): * @@ -4261,11 +4124,8 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column from which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - private interface StringAllFromDocs { - - /** Example argument to use */ - interface Arg - } + public fun KProperty<*>.allColsFrom(column: AnyColumnReference): ColumnSet<*> = + columnGroup(this).allColsFrom(column) /** ## All (Cols) From * @@ -4294,7 +4154,12 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsFrom][kotlin.String.allColsFrom]` { myColumn } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::someColGroup.`[allColsFrom][kotlin.reflect.KProperty.allColsFrom]`(Type::myColumn) }` + * + * ## NOTE: + * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you + * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler + * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). * * #### Flavors of All (Cols): * @@ -4324,9 +4189,11 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column from which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun String.allColsFrom(column: ColumnSelector<*, *>): ColumnSet<*> = + public fun KProperty<*>.allColsFrom(column: KProperty<*>): ColumnSet<*> = columnGroup(this).allColsFrom(column) + + /** ## All (Cols) From * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], @@ -4354,7 +4221,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsFrom][kotlin.String.allColsFrom]`("pathTo"["myColumn"]) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["someColGroup"].`[allFrom][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.allColsFrom]` { myColumn } }` * * #### Flavors of All (Cols): * @@ -4384,7 +4251,7 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column from which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun String.allColsFrom(column: ColumnPath): ColumnSet<*> = + public fun ColumnPath.allColsFrom(column: ColumnSelector<*, *>): ColumnSet<*> = columnGroup(this).allColsFrom(column) /** ## All (Cols) From @@ -4414,7 +4281,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsFrom][kotlin.String.allColsFrom]`("myColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["someColGroup"].`[allFrom][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.allColsFrom]`("pathTo"["myColumn"]) }` * * #### Flavors of All (Cols): * @@ -4444,7 +4311,7 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column from which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun String.allColsFrom(column: String): ColumnSet<*> = + public fun ColumnPath.allColsFrom(column: ColumnPath): ColumnSet<*> = columnGroup(this).allColsFrom(column) /** ## All (Cols) From @@ -4474,7 +4341,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsFrom][kotlin.String.allColsFrom]`(myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["someColGroup"].`[allFrom][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.allColsFrom]`("myColumn") }` * * #### Flavors of All (Cols): * @@ -4504,7 +4371,7 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column from which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun String.allColsFrom(column: AnyColumnReference): ColumnSet<*> = + public fun ColumnPath.allColsFrom(column: String): ColumnSet<*> = columnGroup(this).allColsFrom(column) /** ## All (Cols) From @@ -4534,7 +4401,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsFrom][kotlin.String.allColsFrom]`(Type::myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["someColGroup"].`[allFrom][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.allColsFrom]`(myColumn) }` * * #### Flavors of All (Cols): * @@ -4564,11 +4431,10 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column from which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun String.allColsFrom(column: KProperty<*>): ColumnSet<*> = + public fun ColumnPath.allColsFrom(column: AnyColumnReference): ColumnSet<*> = columnGroup(this).allColsFrom(column) - /** - * ## All (Cols) From + /** ## All (Cols) From * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], * containing all columns from [column], including [column] itself. @@ -4595,12 +4461,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { DataSchemaType::someColGroup.`[allColsFrom][KProperty.allColsFrom]` }` - * - * ## NOTE: - * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you - * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler - * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["someColGroup"].`[allFrom][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.allColsFrom]`(Type::myColumn) }` * * #### Flavors of All (Cols): * @@ -4630,22 +4491,23 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column from which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - private interface KPropertyAllFromDocs { + public fun ColumnPath.allColsFrom(column: KProperty<*>): ColumnSet<*> = + columnGroup(this).allColsFrom(column) - /** Example argument to use */ - interface Arg - } + // endregion + + // region allBefore /** - * ## All (Cols) From + * ## All (Cols) Before * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns from [column], including [column] itself. + * containing all columns before [column], excluding [column] itself. * * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. * - * If [column] does not exist, the function will return an empty [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. + * If [column] does not exist, the function will return a [ColumnSet][ColumnSet] containing all columns. * *      * @@ -4656,1269 +4518,15 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::someColGroup.`[allColsFrom][kotlin.reflect.KProperty.allColsFrom]` { myColumn } }` * - * ## NOTE: - * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you - * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler - * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). - * - * #### Flavors of All (Cols): - * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: - * All columns - * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: - * All columns before the specified column, excluding that column - * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: - * All columns after the specified column, excluding that column - * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: - * All columns from the specified column, including that column - * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: - * All columns up to the specified column, including that column - * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. - * @see [allBefore] - * @see [allAfter] - * @see [allFrom] - * @see [allUpTo] - * @see [ColumnsSelectionDsl.allExcept] - * @see [all] - * @see [cols] - * @param [column] The specified column from which all columns should be taken. This column can be referenced - * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. - */ - @OptIn(ExperimentalTypeInference::class) - @OverloadResolutionByLambdaReturnType - // TODO: [KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument) - public fun KProperty.allColsFrom(column: ColumnSelector): ColumnSet<*> = - columnGroup(this).allColsFrom(column) - - /** - * ## All (Cols) From - * - * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns from [column], including [column] itself. - * - * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and - * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. - * - * If [column] does not exist, the function will return an empty [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - *      - * - * NOTE: Using the `{}` overloads of these functions requires a [ColumnSelector][org.jetbrains.kotlinx.dataframe.ColumnSelector] to be used - * in the Plain DSL, and on [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] and a [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] on [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.Grammar] - * - * #### For example: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` - * - * #### Examples for this overload: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::someColGroup.`[allColsFrom][kotlin.reflect.KProperty.allColsFrom]` { myColumn } }` - * - * ## NOTE: - * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you - * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler - * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). - * - * #### Flavors of All (Cols): - * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: - * All columns - * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: - * All columns before the specified column, excluding that column - * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: - * All columns after the specified column, excluding that column - * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: - * All columns from the specified column, including that column - * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: - * All columns up to the specified column, including that column - * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. - * @see [allBefore] - * @see [allAfter] - * @see [allFrom] - * @see [allUpTo] - * @see [ColumnsSelectionDsl.allExcept] - * @see [all] - * @see [cols] - * @param [column] The specified column from which all columns should be taken. This column can be referenced - * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. - */ - @Suppress("INAPPLICABLE_JVM_NAME") - @JvmName("KPropertyDataRowAllColsFrom") - public fun KProperty>.allColsFrom(column: ColumnSelector): ColumnSet<*> = - columnGroup(this).allColsFrom(column) - - /** ## All (Cols) From - * - * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns from [column], including [column] itself. - * - * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and - * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. - * - * If [column] does not exist, the function will return an empty [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - *      - * - * NOTE: Using the `{}` overloads of these functions requires a [ColumnSelector][org.jetbrains.kotlinx.dataframe.ColumnSelector] to be used - * in the Plain DSL, and on [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] and a [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] on [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.Grammar] - * - * #### For example: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` - * - * #### Examples for this overload: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::someColGroup.`[allColsFrom][kotlin.reflect.KProperty.allColsFrom]`("pathTo"["myColumn"]) }` - * - * ## NOTE: - * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you - * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler - * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). - * - * #### Flavors of All (Cols): - * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: - * All columns - * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: - * All columns before the specified column, excluding that column - * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: - * All columns after the specified column, excluding that column - * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: - * All columns from the specified column, including that column - * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: - * All columns up to the specified column, including that column - * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. - * @see [allBefore] - * @see [allAfter] - * @see [allFrom] - * @see [allUpTo] - * @see [ColumnsSelectionDsl.allExcept] - * @see [all] - * @see [cols] - * @param [column] The specified column from which all columns should be taken. This column can be referenced - * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. - */ - public fun KProperty<*>.allColsFrom(column: ColumnPath): ColumnSet<*> = - columnGroup(this).allColsFrom(column) - - /** ## All (Cols) From - * - * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns from [column], including [column] itself. - * - * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and - * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. - * - * If [column] does not exist, the function will return an empty [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - *      - * - * NOTE: Using the `{}` overloads of these functions requires a [ColumnSelector][org.jetbrains.kotlinx.dataframe.ColumnSelector] to be used - * in the Plain DSL, and on [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] and a [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] on [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.Grammar] - * - * #### For example: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` - * - * #### Examples for this overload: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::someColGroup.`[allColsFrom][kotlin.reflect.KProperty.allColsFrom]`("myColumn") }` - * - * ## NOTE: - * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you - * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler - * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). - * - * #### Flavors of All (Cols): - * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: - * All columns - * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: - * All columns before the specified column, excluding that column - * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: - * All columns after the specified column, excluding that column - * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: - * All columns from the specified column, including that column - * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: - * All columns up to the specified column, including that column - * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. - * @see [allBefore] - * @see [allAfter] - * @see [allFrom] - * @see [allUpTo] - * @see [ColumnsSelectionDsl.allExcept] - * @see [all] - * @see [cols] - * @param [column] The specified column from which all columns should be taken. This column can be referenced - * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. - */ - public fun KProperty<*>.allColsFrom(column: String): ColumnSet<*> = - columnGroup(this).allColsFrom(column) - - /** ## All (Cols) From - * - * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns from [column], including [column] itself. - * - * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and - * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. - * - * If [column] does not exist, the function will return an empty [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - *      - * - * NOTE: Using the `{}` overloads of these functions requires a [ColumnSelector][org.jetbrains.kotlinx.dataframe.ColumnSelector] to be used - * in the Plain DSL, and on [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] and a [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] on [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.Grammar] - * - * #### For example: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` - * - * #### Examples for this overload: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::someColGroup.`[allColsFrom][kotlin.reflect.KProperty.allColsFrom]`(myColumn) }` - * - * ## NOTE: - * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you - * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler - * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). - * - * #### Flavors of All (Cols): - * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: - * All columns - * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: - * All columns before the specified column, excluding that column - * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: - * All columns after the specified column, excluding that column - * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: - * All columns from the specified column, including that column - * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: - * All columns up to the specified column, including that column - * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. - * @see [allBefore] - * @see [allAfter] - * @see [allFrom] - * @see [allUpTo] - * @see [ColumnsSelectionDsl.allExcept] - * @see [all] - * @see [cols] - * @param [column] The specified column from which all columns should be taken. This column can be referenced - * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. - */ - public fun KProperty<*>.allColsFrom(column: AnyColumnReference): ColumnSet<*> = - columnGroup(this).allColsFrom(column) - - /** ## All (Cols) From - * - * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns from [column], including [column] itself. - * - * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and - * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. - * - * If [column] does not exist, the function will return an empty [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - *      - * - * NOTE: Using the `{}` overloads of these functions requires a [ColumnSelector][org.jetbrains.kotlinx.dataframe.ColumnSelector] to be used - * in the Plain DSL, and on [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] and a [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] on [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.Grammar] - * - * #### For example: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` - * - * #### Examples for this overload: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::someColGroup.`[allColsFrom][kotlin.reflect.KProperty.allColsFrom]`(Type::myColumn) }` - * - * ## NOTE: - * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you - * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler - * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). - * - * #### Flavors of All (Cols): - * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: - * All columns - * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: - * All columns before the specified column, excluding that column - * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: - * All columns after the specified column, excluding that column - * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: - * All columns from the specified column, including that column - * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: - * All columns up to the specified column, including that column - * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. - * @see [allBefore] - * @see [allAfter] - * @see [allFrom] - * @see [allUpTo] - * @see [ColumnsSelectionDsl.allExcept] - * @see [all] - * @see [cols] - * @param [column] The specified column from which all columns should be taken. This column can be referenced - * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. - */ - public fun KProperty<*>.allColsFrom(column: KProperty<*>): ColumnSet<*> = - columnGroup(this).allColsFrom(column) - - /** - * ## All (Cols) From - * - * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns from [column], including [column] itself. - * - * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and - * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. - * - * If [column] does not exist, the function will return an empty [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - *      - * - * NOTE: Using the `{}` overloads of these functions requires a [ColumnSelector][org.jetbrains.kotlinx.dataframe.ColumnSelector] to be used - * in the Plain DSL, and on [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] and a [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] on [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.Grammar] - * - * #### For example: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` - * - * #### Examples for this overload: - * - * `df.`[select][DataFrame.select]` { "pathTo"["someColGroup"].`[allFrom][ColumnPath.allColsFrom]` }` - * - * #### Flavors of All (Cols): - * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: - * All columns - * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: - * All columns before the specified column, excluding that column - * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: - * All columns after the specified column, excluding that column - * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: - * All columns from the specified column, including that column - * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: - * All columns up to the specified column, including that column - * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. - * @see [allBefore] - * @see [allAfter] - * @see [allFrom] - * @see [allUpTo] - * @see [ColumnsSelectionDsl.allExcept] - * @see [all] - * @see [cols] - * @param [column] The specified column from which all columns should be taken. This column can be referenced - * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. - */ - private interface ColumnPathAllFromDocs { - - /** Example argument to use */ - interface Arg - } - - /** ## All (Cols) From - * - * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns from [column], including [column] itself. - * - * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and - * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. - * - * If [column] does not exist, the function will return an empty [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - *      - * - * NOTE: Using the `{}` overloads of these functions requires a [ColumnSelector][org.jetbrains.kotlinx.dataframe.ColumnSelector] to be used - * in the Plain DSL, and on [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] and a [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] on [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.Grammar] - * - * #### For example: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` - * - * #### Examples for this overload: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["someColGroup"].`[allFrom][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.allColsFrom]` { myColumn } }` - * - * #### Flavors of All (Cols): - * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: - * All columns - * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: - * All columns before the specified column, excluding that column - * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: - * All columns after the specified column, excluding that column - * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: - * All columns from the specified column, including that column - * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: - * All columns up to the specified column, including that column - * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. - * @see [allBefore] - * @see [allAfter] - * @see [allFrom] - * @see [allUpTo] - * @see [ColumnsSelectionDsl.allExcept] - * @see [all] - * @see [cols] - * @param [column] The specified column from which all columns should be taken. This column can be referenced - * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. - */ - public fun ColumnPath.allColsFrom(column: ColumnSelector<*, *>): ColumnSet<*> = - columnGroup(this).allColsFrom(column) - - /** ## All (Cols) From - * - * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns from [column], including [column] itself. - * - * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and - * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. - * - * If [column] does not exist, the function will return an empty [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - *      - * - * NOTE: Using the `{}` overloads of these functions requires a [ColumnSelector][org.jetbrains.kotlinx.dataframe.ColumnSelector] to be used - * in the Plain DSL, and on [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] and a [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] on [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.Grammar] - * - * #### For example: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` - * - * #### Examples for this overload: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["someColGroup"].`[allFrom][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.allColsFrom]`("pathTo"["myColumn"]) }` - * - * #### Flavors of All (Cols): - * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: - * All columns - * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: - * All columns before the specified column, excluding that column - * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: - * All columns after the specified column, excluding that column - * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: - * All columns from the specified column, including that column - * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: - * All columns up to the specified column, including that column - * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. - * @see [allBefore] - * @see [allAfter] - * @see [allFrom] - * @see [allUpTo] - * @see [ColumnsSelectionDsl.allExcept] - * @see [all] - * @see [cols] - * @param [column] The specified column from which all columns should be taken. This column can be referenced - * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. - */ - public fun ColumnPath.allColsFrom(column: ColumnPath): ColumnSet<*> = - columnGroup(this).allColsFrom(column) - - /** ## All (Cols) From - * - * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns from [column], including [column] itself. - * - * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and - * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. - * - * If [column] does not exist, the function will return an empty [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - *      - * - * NOTE: Using the `{}` overloads of these functions requires a [ColumnSelector][org.jetbrains.kotlinx.dataframe.ColumnSelector] to be used - * in the Plain DSL, and on [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] and a [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] on [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.Grammar] - * - * #### For example: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` - * - * #### Examples for this overload: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["someColGroup"].`[allFrom][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.allColsFrom]`("myColumn") }` - * - * #### Flavors of All (Cols): - * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: - * All columns - * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: - * All columns before the specified column, excluding that column - * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: - * All columns after the specified column, excluding that column - * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: - * All columns from the specified column, including that column - * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: - * All columns up to the specified column, including that column - * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. - * @see [allBefore] - * @see [allAfter] - * @see [allFrom] - * @see [allUpTo] - * @see [ColumnsSelectionDsl.allExcept] - * @see [all] - * @see [cols] - * @param [column] The specified column from which all columns should be taken. This column can be referenced - * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. - */ - public fun ColumnPath.allColsFrom(column: String): ColumnSet<*> = - columnGroup(this).allColsFrom(column) - - /** ## All (Cols) From - * - * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns from [column], including [column] itself. - * - * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and - * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. - * - * If [column] does not exist, the function will return an empty [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - *      - * - * NOTE: Using the `{}` overloads of these functions requires a [ColumnSelector][org.jetbrains.kotlinx.dataframe.ColumnSelector] to be used - * in the Plain DSL, and on [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] and a [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] on [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.Grammar] - * - * #### For example: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` - * - * #### Examples for this overload: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["someColGroup"].`[allFrom][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.allColsFrom]`(myColumn) }` - * - * #### Flavors of All (Cols): - * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: - * All columns - * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: - * All columns before the specified column, excluding that column - * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: - * All columns after the specified column, excluding that column - * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: - * All columns from the specified column, including that column - * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: - * All columns up to the specified column, including that column - * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. - * @see [allBefore] - * @see [allAfter] - * @see [allFrom] - * @see [allUpTo] - * @see [ColumnsSelectionDsl.allExcept] - * @see [all] - * @see [cols] - * @param [column] The specified column from which all columns should be taken. This column can be referenced - * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. - */ - public fun ColumnPath.allColsFrom(column: AnyColumnReference): ColumnSet<*> = - columnGroup(this).allColsFrom(column) - - /** ## All (Cols) From - * - * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns from [column], including [column] itself. - * - * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and - * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. - * - * If [column] does not exist, the function will return an empty [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - *      - * - * NOTE: Using the `{}` overloads of these functions requires a [ColumnSelector][org.jetbrains.kotlinx.dataframe.ColumnSelector] to be used - * in the Plain DSL, and on [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] and a [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] on [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.Grammar] - * - * #### For example: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` - * - * #### Examples for this overload: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["someColGroup"].`[allFrom][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.allColsFrom]`(Type::myColumn) }` - * - * #### Flavors of All (Cols): - * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: - * All columns - * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: - * All columns before the specified column, excluding that column - * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: - * All columns after the specified column, excluding that column - * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: - * All columns from the specified column, including that column - * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: - * All columns up to the specified column, including that column - * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. - * @see [allBefore] - * @see [allAfter] - * @see [allFrom] - * @see [allUpTo] - * @see [ColumnsSelectionDsl.allExcept] - * @see [all] - * @see [cols] - * @param [column] The specified column from which all columns should be taken. This column can be referenced - * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. - */ - public fun ColumnPath.allColsFrom(column: KProperty<*>): ColumnSet<*> = - columnGroup(this).allColsFrom(column) - - // endregion - - // region allBefore - - /** - * ## All (Cols) Before - * - * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns before [column], excluding [column] itself. - * - * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and - * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. - * - * If [column] does not exist, the function will return a [ColumnSet][ColumnSet] containing all columns. - * - *      - * - * NOTE: Using the `{}` overloads of these functions requires a [ColumnSelector][org.jetbrains.kotlinx.dataframe.ColumnSelector] to be used - * in the Plain DSL, and on [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] and a [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] on [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.Grammar] - * - * #### For example: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` - * - * #### Examples for this overload: - * - * - * - * #### Flavors of All (Cols): - * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: - * All columns - * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: - * All columns before the specified column, excluding that column - * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: - * All columns after the specified column, excluding that column - * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: - * All columns from the specified column, including that column - * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: - * All columns up to the specified column, including that column - * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. - * @see [allBefore] - * @see [allAfter] - * @see [allFrom] - * @see [allUpTo] - * @see [ColumnsSelectionDsl.allExcept] - * @see [all] - * @see [cols] - * @param [column] The specified column before which all columns should be taken. This column can be referenced - * to both relatively to the current [ColumnsResolver] and absolutely. - */ - private interface AllBeforeDocs - - /** - * ## All (Cols) Before - * - * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns before [column], excluding [column] itself. - * - * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and - * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. - * - * If [column] does not exist, the function will return a [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns. - * - *      - * - * NOTE: Using the `{}` overloads of these functions requires a [ColumnSelector][org.jetbrains.kotlinx.dataframe.ColumnSelector] to be used - * in the Plain DSL, and on [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] and a [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] on [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.Grammar] - * - * #### For example: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` - * - * #### Examples for this overload: - * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[allBefore][ColumnSet.allBefore]` }` - * - * #### Flavors of All (Cols): - * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: - * All columns - * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: - * All columns before the specified column, excluding that column - * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: - * All columns after the specified column, excluding that column - * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: - * All columns from the specified column, including that column - * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: - * All columns up to the specified column, including that column - * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. - * @see [allBefore] - * @see [allAfter] - * @see [allFrom] - * @see [allUpTo] - * @see [ColumnsSelectionDsl.allExcept] - * @see [all] - * @see [cols] - * @param [column] The specified column before which all columns should be taken. This column can be referenced - * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. - */ - private interface ColumnSetAllBeforeDocs { - - /** Example argument to use */ - interface Arg - } - - /** ## All (Cols) Before - * - * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns before [column], excluding [column] itself. - * - * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and - * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. - * - * If [column] does not exist, the function will return a [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns. - * - *      - * - * NOTE: Using the `{}` overloads of these functions requires a [ColumnSelector][org.jetbrains.kotlinx.dataframe.ColumnSelector] to be used - * in the Plain DSL, and on [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] and a [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] on [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.Grammar] - * - * #### For example: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` - * - * #### Examples for this overload: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allBefore][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allBefore]` { myColumn `[in][String.contains]` it.`[name][ColumnWithPath.name]` } }` - * - * #### Flavors of All (Cols): - * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: - * All columns - * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: - * All columns before the specified column, excluding that column - * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: - * All columns after the specified column, excluding that column - * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: - * All columns from the specified column, including that column - * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: - * All columns up to the specified column, including that column - * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. - * @see [allBefore] - * @see [allAfter] - * @see [allFrom] - * @see [allUpTo] - * @see [ColumnsSelectionDsl.allExcept] - * @see [all] - * @see [cols] - * @param [column] The specified column before which all columns should be taken. This column can be referenced - * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. - */ - @Suppress("UNCHECKED_CAST") - public fun ColumnSet.allBefore(column: ColumnFilter): ColumnSet = - allBeforeInternal(column as ColumnFilter<*>) as ColumnSet - - /** ## All (Cols) Before - * - * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns before [column], excluding [column] itself. - * - * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and - * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. - * - * If [column] does not exist, the function will return a [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns. - * - *      - * - * NOTE: Using the `{}` overloads of these functions requires a [ColumnSelector][org.jetbrains.kotlinx.dataframe.ColumnSelector] to be used - * in the Plain DSL, and on [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] and a [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] on [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.Grammar] - * - * #### For example: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` - * - * #### Examples for this overload: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allBefore][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allBefore]`("pathTo"["myColumn"]) }` - * - * #### Flavors of All (Cols): - * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: - * All columns - * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: - * All columns before the specified column, excluding that column - * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: - * All columns after the specified column, excluding that column - * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: - * All columns from the specified column, including that column - * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: - * All columns up to the specified column, including that column - * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. - * @see [allBefore] - * @see [allAfter] - * @see [allFrom] - * @see [allUpTo] - * @see [ColumnsSelectionDsl.allExcept] - * @see [all] - * @see [cols] - * @param [column] The specified column before which all columns should be taken. This column can be referenced - * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. - */ - @Suppress("UNCHECKED_CAST") - public fun ColumnSet.allBefore(column: ColumnPath): ColumnSet = - allBeforeInternal { it.path == column } as ColumnSet - - /** ## All (Cols) Before - * - * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns before [column], excluding [column] itself. - * - * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and - * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. - * - * If [column] does not exist, the function will return a [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns. - * - *      - * - * NOTE: Using the `{}` overloads of these functions requires a [ColumnSelector][org.jetbrains.kotlinx.dataframe.ColumnSelector] to be used - * in the Plain DSL, and on [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] and a [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] on [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.Grammar] - * - * #### For example: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` - * - * #### Examples for this overload: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allBefore][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allBefore]`("myColumn") }` - * - * #### Flavors of All (Cols): - * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: - * All columns - * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: - * All columns before the specified column, excluding that column - * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: - * All columns after the specified column, excluding that column - * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: - * All columns from the specified column, including that column - * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: - * All columns up to the specified column, including that column - * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. - * @see [allBefore] - * @see [allAfter] - * @see [allFrom] - * @see [allUpTo] - * @see [ColumnsSelectionDsl.allExcept] - * @see [all] - * @see [cols] - * @param [column] The specified column before which all columns should be taken. This column can be referenced - * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. - */ - public fun ColumnSet.allBefore(column: String): ColumnSet = - allBefore(pathOf(column)) - - /** ## All (Cols) Before - * - * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns before [column], excluding [column] itself. - * - * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and - * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. - * - * If [column] does not exist, the function will return a [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns. - * - *      - * - * NOTE: Using the `{}` overloads of these functions requires a [ColumnSelector][org.jetbrains.kotlinx.dataframe.ColumnSelector] to be used - * in the Plain DSL, and on [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] and a [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] on [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.Grammar] - * - * #### For example: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` - * - * #### Examples for this overload: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allBefore][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allBefore]`(myColumn) }` - * - * #### Flavors of All (Cols): - * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: - * All columns - * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: - * All columns before the specified column, excluding that column - * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: - * All columns after the specified column, excluding that column - * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: - * All columns from the specified column, including that column - * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: - * All columns up to the specified column, including that column - * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. - * @see [allBefore] - * @see [allAfter] - * @see [allFrom] - * @see [allUpTo] - * @see [ColumnsSelectionDsl.allExcept] - * @see [all] - * @see [cols] - * @param [column] The specified column before which all columns should be taken. This column can be referenced - * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. - */ - public fun ColumnSet.allBefore(column: AnyColumnReference): ColumnSet = - allBefore(column.path()) - - /** ## All (Cols) Before - * - * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns before [column], excluding [column] itself. - * - * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and - * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. - * - * If [column] does not exist, the function will return a [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns. - * - *      - * - * NOTE: Using the `{}` overloads of these functions requires a [ColumnSelector][org.jetbrains.kotlinx.dataframe.ColumnSelector] to be used - * in the Plain DSL, and on [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] and a [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] on [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.Grammar] - * - * #### For example: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` - * - * #### Examples for this overload: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allBefore][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allBefore]`(Type::myColumn) }` - * - * #### Flavors of All (Cols): - * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: - * All columns - * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: - * All columns before the specified column, excluding that column - * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: - * All columns after the specified column, excluding that column - * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: - * All columns from the specified column, including that column - * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: - * All columns up to the specified column, including that column - * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. - * @see [allBefore] - * @see [allAfter] - * @see [allFrom] - * @see [allUpTo] - * @see [ColumnsSelectionDsl.allExcept] - * @see [all] - * @see [cols] - * @param [column] The specified column before which all columns should be taken. This column can be referenced - * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. - */ - public fun ColumnSet.allBefore(column: KProperty<*>): ColumnSet = - allBefore(column.toColumnAccessor().path()) - - /** - * ## All (Cols) Before - * - * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns before [column], excluding [column] itself. - * - * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and - * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. - * - * If [column] does not exist, the function will return a [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns. - * - *      - * - * NOTE: Using the `{}` overloads of these functions requires a [ColumnSelector][org.jetbrains.kotlinx.dataframe.ColumnSelector] to be used - * in the Plain DSL, and on [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] and a [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] on [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.Grammar] - * - * #### For example: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` - * - * #### Examples for this overload: - * - * `df.`[select][DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]` }` - * - * #### Flavors of All (Cols): - * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: - * All columns - * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: - * All columns before the specified column, excluding that column - * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: - * All columns after the specified column, excluding that column - * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: - * All columns from the specified column, including that column - * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: - * All columns up to the specified column, including that column - * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. - * @see [allBefore] - * @see [allAfter] - * @see [allFrom] - * @see [allUpTo] - * @see [ColumnsSelectionDsl.allExcept] - * @see [all] - * @see [cols] - * @param [column] The specified column before which all columns should be taken. This column can be referenced - * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. - */ - private interface ColumnsSelectionDslAllBeforeDocs { - - /** Example argument to use */ - interface Arg - } - - /** ## All (Cols) Before - * - * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns before [column], excluding [column] itself. - * - * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and - * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. - * - * If [column] does not exist, the function will return a [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns. - * - *      - * - * NOTE: Using the `{}` overloads of these functions requires a [ColumnSelector][org.jetbrains.kotlinx.dataframe.ColumnSelector] to be used - * in the Plain DSL, and on [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] and a [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] on [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.Grammar] - * - * #### For example: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` - * - * #### Examples for this overload: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allBefore]` { myColumn } }` * * #### Flavors of All (Cols): * @@ -5946,70 +4554,11 @@ public interface AllColumnsSelectionDsl { * @see [all] * @see [cols] * @param [column] The specified column before which all columns should be taken. This column can be referenced - * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. + * to both relatively to the current [ColumnsResolver] and absolutely. */ - public fun ColumnsSelectionDsl.allBefore(column: ColumnSelector): ColumnSet<*> = - asSingleColumn().allColsBefore(column) + private interface AllBeforeDocs - /** ## All (Cols) Before - * - * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns before [column], excluding [column] itself. - * - * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and - * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. - * - * If [column] does not exist, the function will return a [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns. - * - *      - * - * NOTE: Using the `{}` overloads of these functions requires a [ColumnSelector][org.jetbrains.kotlinx.dataframe.ColumnSelector] to be used - * in the Plain DSL, and on [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] and a [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] on [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.Grammar] - * - * #### For example: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` - * - * #### Examples for this overload: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allBefore]`("pathTo"["myColumn"]) }` - * - * #### Flavors of All (Cols): - * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: - * All columns - * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: - * All columns before the specified column, excluding that column - * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: - * All columns after the specified column, excluding that column - * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: - * All columns from the specified column, including that column - * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: - * All columns up to the specified column, including that column - * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. - * @see [allBefore] - * @see [allAfter] - * @see [allFrom] - * @see [allUpTo] - * @see [ColumnsSelectionDsl.allExcept] - * @see [all] - * @see [cols] - * @param [column] The specified column before which all columns should be taken. This column can be referenced - * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. - */ - public fun ColumnsSelectionDsl<*>.allBefore(column: ColumnPath): ColumnSet<*> = - asSingleColumn().allColsBefore(column) + /** ## All (Cols) Before * @@ -6038,7 +4587,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allBefore]`("myColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allBefore][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allBefore]` { myColumn `[in][String.contains]` it.`[name][ColumnWithPath.name]` } }` * * #### Flavors of All (Cols): * @@ -6068,8 +4617,9 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column before which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnsSelectionDsl<*>.allBefore(column: String): ColumnSet<*> = - allBefore(pathOf(column)) + @Suppress("UNCHECKED_CAST") + public fun ColumnSet.allBefore(column: ColumnFilter): ColumnSet = + allBeforeInternal(column as ColumnFilter<*>) as ColumnSet /** ## All (Cols) Before * @@ -6098,7 +4648,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allBefore]`(myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allBefore][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allBefore]`("pathTo"["myColumn"]) }` * * #### Flavors of All (Cols): * @@ -6128,8 +4678,9 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column before which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnsSelectionDsl<*>.allBefore(column: AnyColumnReference): ColumnSet<*> = - allBefore(column.path()) + @Suppress("UNCHECKED_CAST") + public fun ColumnSet.allBefore(column: ColumnPath): ColumnSet = + allBeforeInternal { it.path == column } as ColumnSet /** ## All (Cols) Before * @@ -6158,68 +4709,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allBefore]`(Type::myColumn) }` - * - * #### Flavors of All (Cols): - * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: - * All columns - * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: - * All columns before the specified column, excluding that column - * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: - * All columns after the specified column, excluding that column - * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: - * All columns from the specified column, including that column - * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: - * All columns up to the specified column, including that column - * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. - * @see [allBefore] - * @see [allAfter] - * @see [allFrom] - * @see [allUpTo] - * @see [ColumnsSelectionDsl.allExcept] - * @see [all] - * @see [cols] - * @param [column] The specified column before which all columns should be taken. This column can be referenced - * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. - */ - public fun ColumnsSelectionDsl<*>.allBefore(column: KProperty<*>): ColumnSet<*> = - allBefore(column.toColumnAccessor().path()) - - /** - * ## All (Cols) Before - * - * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns before [column], excluding [column] itself. - * - * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and - * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. - * - * If [column] does not exist, the function will return a [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns. - * - *      - * - * NOTE: Using the `{}` overloads of these functions requires a [ColumnSelector][org.jetbrains.kotlinx.dataframe.ColumnSelector] to be used - * in the Plain DSL, and on [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] and a [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] on [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.Grammar] - * - * #### For example: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` - * - * #### Examples for this overload: - * - * `df.`[select][DataFrame.select]` { someColumnGroup.`[allColsBefore][SingleColumn.allColsBefore]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allBefore][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allBefore]`("myColumn") }` * * #### Flavors of All (Cols): * @@ -6249,11 +4739,8 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column before which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - private interface SingleColumnAllBeforeDocs { - - /** Example argument to use */ - interface Arg - } + public fun ColumnSet.allBefore(column: String): ColumnSet = + allBefore(pathOf(column)) /** ## All (Cols) Before * @@ -6282,7 +4769,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsBefore][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsBefore]` { myColumn } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allBefore][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allBefore]`(myColumn) }` * * #### Flavors of All (Cols): * @@ -6312,13 +4799,8 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column before which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun SingleColumn>.allColsBefore(column: ColumnSelector): ColumnSet<*> { - var resolvedCol: DataColumn<*>? = null - return this - .ensureIsColumnGroup() - .onResolve { resolvedCol = it!!.asColumnGroup().getColumn(column) } - .allBeforeInternal { it.data == resolvedCol } - } + public fun ColumnSet.allBefore(column: AnyColumnReference): ColumnSet = + allBefore(column.path()) /** ## All (Cols) Before * @@ -6347,7 +4829,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsBefore][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsBefore]`("pathTo"["myColumn"]) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allBefore][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allBefore]`(Type::myColumn) }` * * #### Flavors of All (Cols): * @@ -6377,73 +4859,10 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column before which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun SingleColumn>.allColsBefore(column: ColumnPath): ColumnSet<*> { - var path: ColumnPath? = null - return this - .ensureIsColumnGroup() - .onResolve { path = it!!.path } - .allBeforeInternal { it.path == path!! + column || it.path == column } - } + public fun ColumnSet.allBefore(column: KProperty<*>): ColumnSet = + allBefore(column.toColumnAccessor().path()) - /** ## All (Cols) Before - * - * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns before [column], excluding [column] itself. - * - * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and - * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. - * - * If [column] does not exist, the function will return a [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns. - * - *      - * - * NOTE: Using the `{}` overloads of these functions requires a [ColumnSelector][org.jetbrains.kotlinx.dataframe.ColumnSelector] to be used - * in the Plain DSL, and on [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] and a [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] on [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.Grammar] - * - * #### For example: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` - * - * #### Examples for this overload: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsBefore][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsBefore]`("myColumn") }` - * - * #### Flavors of All (Cols): - * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: - * All columns - * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: - * All columns before the specified column, excluding that column - * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: - * All columns after the specified column, excluding that column - * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: - * All columns from the specified column, including that column - * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: - * All columns up to the specified column, including that column - * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. - * @see [allBefore] - * @see [allAfter] - * @see [allFrom] - * @see [allUpTo] - * @see [ColumnsSelectionDsl.allExcept] - * @see [all] - * @see [cols] - * @param [column] The specified column before which all columns should be taken. This column can be referenced - * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. - */ - public fun SingleColumn>.allColsBefore(column: String): ColumnSet<*> = - allColsBefore(pathOf(column)) + /** ## All (Cols) Before * @@ -6472,7 +4891,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsBefore][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsBefore]`(myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allBefore]` { myColumn } }` * * #### Flavors of All (Cols): * @@ -6502,8 +4921,8 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column before which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun SingleColumn>.allColsBefore(column: AnyColumnReference): ColumnSet<*> = - allColsBefore(column.path()) + public fun ColumnsSelectionDsl.allBefore(column: ColumnSelector): ColumnSet<*> = + asSingleColumn().allColsBefore(column) /** ## All (Cols) Before * @@ -6532,7 +4951,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsBefore][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsBefore]`(Type::myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allBefore]`("pathTo"["myColumn"]) }` * * #### Flavors of All (Cols): * @@ -6562,11 +4981,10 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column before which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun SingleColumn>.allColsBefore(column: KProperty<*>): ColumnSet<*> = - allColsBefore(column.toColumnAccessor().path()) + public fun ColumnsSelectionDsl<*>.allBefore(column: ColumnPath): ColumnSet<*> = + asSingleColumn().allColsBefore(column) - /** - * ## All (Cols) Before + /** ## All (Cols) Before * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], * containing all columns before [column], excluding [column] itself. @@ -6593,7 +5011,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { "someColGroup".`[allColsBefore][String.allColsBefore]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allBefore]`("myColumn") }` * * #### Flavors of All (Cols): * @@ -6623,11 +5041,8 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column before which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - private interface StringAllBeforeDocs { - - /** Example argument to use */ - interface Arg - } + public fun ColumnsSelectionDsl<*>.allBefore(column: String): ColumnSet<*> = + allBefore(pathOf(column)) /** ## All (Cols) Before * @@ -6656,7 +5071,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsBefore][kotlin.String.allColsBefore]` { myColumn } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allBefore]`(myColumn) }` * * #### Flavors of All (Cols): * @@ -6686,8 +5101,8 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column before which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun String.allColsBefore(column: ColumnSelector<*, *>): ColumnSet<*> = - columnGroup(this).allColsBefore(column) + public fun ColumnsSelectionDsl<*>.allBefore(column: AnyColumnReference): ColumnSet<*> = + allBefore(column.path()) /** ## All (Cols) Before * @@ -6716,7 +5131,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsBefore][kotlin.String.allColsBefore]`("pathTo"["myColumn"]) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allBefore]`(Type::myColumn) }` * * #### Flavors of All (Cols): * @@ -6746,8 +5161,10 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column before which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun String.allColsBefore(column: ColumnPath): ColumnSet<*> = - columnGroup(this).allColsBefore(column) + public fun ColumnsSelectionDsl<*>.allBefore(column: KProperty<*>): ColumnSet<*> = + allBefore(column.toColumnAccessor().path()) + + /** ## All (Cols) Before * @@ -6776,7 +5193,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsBefore][kotlin.String.allColsBefore]`("myColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsBefore][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsBefore]` { myColumn } }` * * #### Flavors of All (Cols): * @@ -6806,8 +5223,13 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column before which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun String.allColsBefore(column: String): ColumnSet<*> = - columnGroup(this).allColsBefore(column) + public fun SingleColumn>.allColsBefore(column: ColumnSelector): ColumnSet<*> { + var resolvedCol: DataColumn<*>? = null + return this + .ensureIsColumnGroup() + .onResolve { resolvedCol = it!!.asColumnGroup().getColumn(column) } + .allBeforeInternal { it.data == resolvedCol } + } /** ## All (Cols) Before * @@ -6836,7 +5258,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsBefore][kotlin.String.allColsBefore]`(myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsBefore][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsBefore]`("pathTo"["myColumn"]) }` * * #### Flavors of All (Cols): * @@ -6866,8 +5288,13 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column before which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun String.allColsBefore(column: AnyColumnReference): ColumnSet<*> = - columnGroup(this).allColsBefore(column) + public fun SingleColumn>.allColsBefore(column: ColumnPath): ColumnSet<*> { + var path: ColumnPath? = null + return this + .ensureIsColumnGroup() + .onResolve { path = it!!.path } + .allBeforeInternal { it.path == path!! + column || it.path == column } + } /** ## All (Cols) Before * @@ -6896,7 +5323,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsBefore][kotlin.String.allColsBefore]`(Type::myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsBefore][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsBefore]`("myColumn") }` * * #### Flavors of All (Cols): * @@ -6926,11 +5353,10 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column before which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun String.allColsBefore(column: KProperty<*>): ColumnSet<*> = - columnGroup(this).allColsBefore(column) + public fun SingleColumn>.allColsBefore(column: String): ColumnSet<*> = + allColsBefore(pathOf(column)) - /** - * ## All (Cols) Before + /** ## All (Cols) Before * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], * containing all columns before [column], excluding [column] itself. @@ -6957,12 +5383,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { DataSchemaType::someColGroup.`[allColsBefore][KProperty.allColsBefore]` }` - * - * ## NOTE: - * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you - * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler - * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsBefore][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsBefore]`(myColumn) }` * * #### Flavors of All (Cols): * @@ -6992,14 +5413,10 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column before which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - private interface KPropertyAllBeforeDocs { - - /** Example argument to use */ - interface Arg - } + public fun SingleColumn>.allColsBefore(column: AnyColumnReference): ColumnSet<*> = + allColsBefore(column.path()) - /** - * ## All (Cols) Before + /** ## All (Cols) Before * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], * containing all columns before [column], excluding [column] itself. @@ -7026,12 +5443,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::someColGroup.`[allColsBefore][kotlin.reflect.KProperty.allColsBefore]` { myColumn } }` - * - * ## NOTE: - * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you - * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler - * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsBefore][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsBefore]`(Type::myColumn) }` * * #### Flavors of All (Cols): * @@ -7061,14 +5473,12 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column before which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - @OptIn(ExperimentalTypeInference::class) - @OverloadResolutionByLambdaReturnType - // TODO: [KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument) - public fun KProperty.allColsBefore(column: ColumnSelector): ColumnSet<*> = - columnGroup(this).allColsBefore(column) + public fun SingleColumn>.allColsBefore(column: KProperty<*>): ColumnSet<*> = + allColsBefore(column.toColumnAccessor().path()) - /** - * ## All (Cols) Before + + + /** ## All (Cols) Before * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], * containing all columns before [column], excluding [column] itself. @@ -7095,12 +5505,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::someColGroup.`[allColsBefore][kotlin.reflect.KProperty.allColsBefore]` { myColumn } }` - * - * ## NOTE: - * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you - * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler - * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsBefore][kotlin.String.allColsBefore]` { myColumn } }` * * #### Flavors of All (Cols): * @@ -7130,9 +5535,7 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column before which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - @Suppress("INAPPLICABLE_JVM_NAME") - @JvmName("KPropertyDataRowAllColsBefore") - public fun KProperty>.allColsBefore(column: ColumnSelector): ColumnSet<*> = + public fun String.allColsBefore(column: ColumnSelector<*, *>): ColumnSet<*> = columnGroup(this).allColsBefore(column) /** ## All (Cols) Before @@ -7162,12 +5565,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::someColGroup.`[allColsBefore][kotlin.reflect.KProperty.allColsBefore]`("pathTo"["myColumn"]) }` - * - * ## NOTE: - * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you - * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler - * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsBefore][kotlin.String.allColsBefore]`("pathTo"["myColumn"]) }` * * #### Flavors of All (Cols): * @@ -7197,7 +5595,7 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column before which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun KProperty<*>.allColsBefore(column: ColumnPath): ColumnSet<*> = + public fun String.allColsBefore(column: ColumnPath): ColumnSet<*> = columnGroup(this).allColsBefore(column) /** ## All (Cols) Before @@ -7227,12 +5625,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::someColGroup.`[allColsBefore][kotlin.reflect.KProperty.allColsBefore]`("myColumn") }` - * - * ## NOTE: - * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you - * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler - * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsBefore][kotlin.String.allColsBefore]`("myColumn") }` * * #### Flavors of All (Cols): * @@ -7262,7 +5655,7 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column before which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun KProperty<*>.allColsBefore(column: String): ColumnSet<*> = + public fun String.allColsBefore(column: String): ColumnSet<*> = columnGroup(this).allColsBefore(column) /** ## All (Cols) Before @@ -7292,12 +5685,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::someColGroup.`[allColsBefore][kotlin.reflect.KProperty.allColsBefore]`(myColumn) }` - * - * ## NOTE: - * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you - * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler - * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsBefore][kotlin.String.allColsBefore]`(myColumn) }` * * #### Flavors of All (Cols): * @@ -7327,7 +5715,7 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column before which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun KProperty<*>.allColsBefore(column: AnyColumnReference): ColumnSet<*> = + public fun String.allColsBefore(column: AnyColumnReference): ColumnSet<*> = columnGroup(this).allColsBefore(column) /** ## All (Cols) Before @@ -7357,12 +5745,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::someColGroup.`[allColsBefore][kotlin.reflect.KProperty.allColsBefore]`(Type::myColumn) }` - * - * ## NOTE: - * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you - * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler - * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsBefore][kotlin.String.allColsBefore]`(Type::myColumn) }` * * #### Flavors of All (Cols): * @@ -7392,9 +5775,11 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column before which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun KProperty<*>.allColsBefore(column: KProperty<*>): ColumnSet<*> = + public fun String.allColsBefore(column: KProperty<*>): ColumnSet<*> = columnGroup(this).allColsBefore(column) + + /** * ## All (Cols) Before * @@ -7423,7 +5808,12 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { "pathTo"["someColGroup"].`[allColsBefore][ColumnPath.allColsBefore]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::someColGroup.`[allColsBefore][kotlin.reflect.KProperty.allColsBefore]` { myColumn } }` + * + * ## NOTE: + * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you + * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler + * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). * * #### Flavors of All (Cols): * @@ -7453,13 +5843,14 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column before which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - private interface ColumnPathAllBeforeDocs { - - /** Example argument to use */ - interface Arg - } + @OptIn(ExperimentalTypeInference::class) + @OverloadResolutionByLambdaReturnType + // TODO: [KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument) + public fun KProperty.allColsBefore(column: ColumnSelector): ColumnSet<*> = + columnGroup(this).allColsBefore(column) - /** ## All (Cols) Before + /** + * ## All (Cols) Before * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], * containing all columns before [column], excluding [column] itself. @@ -7486,7 +5877,12 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["someColGroup"].`[allColsBefore][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.allColsBefore]` { myColumn } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::someColGroup.`[allColsBefore][kotlin.reflect.KProperty.allColsBefore]` { myColumn } }` + * + * ## NOTE: + * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you + * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler + * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). * * #### Flavors of All (Cols): * @@ -7516,7 +5912,9 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column before which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnPath.allColsBefore(column: ColumnSelector<*, *>): ColumnSet<*> = + @Suppress("INAPPLICABLE_JVM_NAME") + @JvmName("KPropertyDataRowAllColsBefore") + public fun KProperty>.allColsBefore(column: ColumnSelector): ColumnSet<*> = columnGroup(this).allColsBefore(column) /** ## All (Cols) Before @@ -7546,7 +5944,12 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["someColGroup"].`[allColsBefore][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.allColsBefore]`("pathTo"["myColumn"]) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::someColGroup.`[allColsBefore][kotlin.reflect.KProperty.allColsBefore]`("pathTo"["myColumn"]) }` + * + * ## NOTE: + * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you + * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler + * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). * * #### Flavors of All (Cols): * @@ -7576,7 +5979,7 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column before which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnPath.allColsBefore(column: ColumnPath): ColumnSet<*> = + public fun KProperty<*>.allColsBefore(column: ColumnPath): ColumnSet<*> = columnGroup(this).allColsBefore(column) /** ## All (Cols) Before @@ -7606,7 +6009,12 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["someColGroup"].`[allColsBefore][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.allColsBefore]`("myColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::someColGroup.`[allColsBefore][kotlin.reflect.KProperty.allColsBefore]`("myColumn") }` + * + * ## NOTE: + * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you + * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler + * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). * * #### Flavors of All (Cols): * @@ -7636,7 +6044,7 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column before which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnPath.allColsBefore(column: String): ColumnSet<*> = + public fun KProperty<*>.allColsBefore(column: String): ColumnSet<*> = columnGroup(this).allColsBefore(column) /** ## All (Cols) Before @@ -7666,7 +6074,12 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["someColGroup"].`[allColsBefore][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.allColsBefore]`(myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::someColGroup.`[allColsBefore][kotlin.reflect.KProperty.allColsBefore]`(myColumn) }` + * + * ## NOTE: + * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you + * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler + * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). * * #### Flavors of All (Cols): * @@ -7696,7 +6109,7 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column before which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnPath.allColsBefore(column: AnyColumnReference): ColumnSet<*> = + public fun KProperty<*>.allColsBefore(column: AnyColumnReference): ColumnSet<*> = columnGroup(this).allColsBefore(column) /** ## All (Cols) Before @@ -7726,7 +6139,12 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["someColGroup"].`[allColsBefore][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.allColsBefore]`(Type::myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::someColGroup.`[allColsBefore][kotlin.reflect.KProperty.allColsBefore]`(Type::myColumn) }` + * + * ## NOTE: + * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you + * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler + * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). * * #### Flavors of All (Cols): * @@ -7756,23 +6174,20 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column before which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnPath.allColsBefore(column: KProperty<*>): ColumnSet<*> = + public fun KProperty<*>.allColsBefore(column: KProperty<*>): ColumnSet<*> = columnGroup(this).allColsBefore(column) - // endregion - - // region allUpTo + - /** - * ## All (Cols) Up To + /** ## All (Cols) Before * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns up to [column], including [column] itself. + * containing all columns before [column], excluding [column] itself. * * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. * - * If [column] does not exist, the function will return a [ColumnSet][ColumnSet] containing all columns. + * If [column] does not exist, the function will return a [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns. * *      * @@ -7783,15 +6198,15 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * - * + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["someColGroup"].`[allColsBefore][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.allColsBefore]` { myColumn } }` * * #### Flavors of All (Cols): * @@ -7810,7 +6225,7 @@ public interface AllColumnsSelectionDsl { * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. + * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. * @see [allBefore] * @see [allAfter] * @see [allFrom] @@ -7818,16 +6233,16 @@ public interface AllColumnsSelectionDsl { * @see [ColumnsSelectionDsl.allExcept] * @see [all] * @see [cols] - * @param [column] The specified column up to which all columns should be taken. This column can be referenced - * to both relatively to the current [ColumnsResolver] and absolutely. + * @param [column] The specified column before which all columns should be taken. This column can be referenced + * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - private interface AllUpToDocs + public fun ColumnPath.allColsBefore(column: ColumnSelector<*, *>): ColumnSet<*> = + columnGroup(this).allColsBefore(column) - /** - * ## All (Cols) Up To + /** ## All (Cols) Before * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns up to [column], including [column] itself. + * containing all columns before [column], excluding [column] itself. * * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. @@ -7843,15 +6258,15 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[allUpTo][ColumnSet.allUpTo]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["someColGroup"].`[allColsBefore][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.allColsBefore]`("pathTo"["myColumn"]) }` * * #### Flavors of All (Cols): * @@ -7870,7 +6285,7 @@ public interface AllColumnsSelectionDsl { * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. + * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. * @see [allBefore] * @see [allAfter] * @see [allFrom] @@ -7878,19 +6293,16 @@ public interface AllColumnsSelectionDsl { * @see [ColumnsSelectionDsl.allExcept] * @see [all] * @see [cols] - * @param [column] The specified column up to which all columns should be taken. This column can be referenced + * @param [column] The specified column before which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - private interface ColumnSetAllUpToDocs { - - /** Example argument to use */ - interface Arg - } + public fun ColumnPath.allColsBefore(column: ColumnPath): ColumnSet<*> = + columnGroup(this).allColsBefore(column) - /** ## All (Cols) Up To + /** ## All (Cols) Before * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns up to [column], including [column] itself. + * containing all columns before [column], excluding [column] itself. * * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. @@ -7906,15 +6318,15 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allUpTo][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allUpTo]` { myColumn `[in][String.contains]` it.`[name][ColumnWithPath.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["someColGroup"].`[allColsBefore][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.allColsBefore]`("myColumn") }` * * #### Flavors of All (Cols): * @@ -7933,7 +6345,7 @@ public interface AllColumnsSelectionDsl { * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. + * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. * @see [allBefore] * @see [allAfter] * @see [allFrom] @@ -7941,17 +6353,16 @@ public interface AllColumnsSelectionDsl { * @see [ColumnsSelectionDsl.allExcept] * @see [all] * @see [cols] - * @param [column] The specified column up to which all columns should be taken. This column can be referenced + * @param [column] The specified column before which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - @Suppress("UNCHECKED_CAST") - public fun ColumnSet.allUpTo(column: ColumnFilter): ColumnSet = - allUpToInternal(column as ColumnFilter<*>) as ColumnSet + public fun ColumnPath.allColsBefore(column: String): ColumnSet<*> = + columnGroup(this).allColsBefore(column) - /** ## All (Cols) Up To + /** ## All (Cols) Before * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns up to [column], including [column] itself. + * containing all columns before [column], excluding [column] itself. * * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. @@ -7967,15 +6378,15 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allUpTo][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allUpTo]`("pathTo"["myColumn"]) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["someColGroup"].`[allColsBefore][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.allColsBefore]`(myColumn) }` * * #### Flavors of All (Cols): * @@ -7994,7 +6405,7 @@ public interface AllColumnsSelectionDsl { * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. + * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. * @see [allBefore] * @see [allAfter] * @see [allFrom] @@ -8002,17 +6413,16 @@ public interface AllColumnsSelectionDsl { * @see [ColumnsSelectionDsl.allExcept] * @see [all] * @see [cols] - * @param [column] The specified column up to which all columns should be taken. This column can be referenced + * @param [column] The specified column before which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - @Suppress("UNCHECKED_CAST") - public fun ColumnSet.allUpTo(column: ColumnPath): ColumnSet = - allUpToInternal { it.path == column } as ColumnSet + public fun ColumnPath.allColsBefore(column: AnyColumnReference): ColumnSet<*> = + columnGroup(this).allColsBefore(column) - /** ## All (Cols) Up To + /** ## All (Cols) Before * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns up to [column], including [column] itself. + * containing all columns before [column], excluding [column] itself. * * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. @@ -8028,15 +6438,15 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allUpTo][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allUpTo]`("myColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["someColGroup"].`[allColsBefore][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.allColsBefore]`(Type::myColumn) }` * * #### Flavors of All (Cols): * @@ -8055,7 +6465,7 @@ public interface AllColumnsSelectionDsl { * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. + * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. * @see [allBefore] * @see [allAfter] * @see [allFrom] @@ -8063,13 +6473,18 @@ public interface AllColumnsSelectionDsl { * @see [ColumnsSelectionDsl.allExcept] * @see [all] * @see [cols] - * @param [column] The specified column up to which all columns should be taken. This column can be referenced + * @param [column] The specified column before which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnSet.allUpTo(column: String): ColumnSet = - allUpTo(pathOf(column)) + public fun ColumnPath.allColsBefore(column: KProperty<*>): ColumnSet<*> = + columnGroup(this).allColsBefore(column) - /** ## All (Cols) Up To + // endregion + + // region allUpTo + + /** + * ## All (Cols) Up To * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], * containing all columns up to [column], including [column] itself. @@ -8077,7 +6492,7 @@ public interface AllColumnsSelectionDsl { * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. * - * If [column] does not exist, the function will return a [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns. + * If [column] does not exist, the function will return a [ColumnSet][ColumnSet] containing all columns. * *      * @@ -8096,7 +6511,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allUpTo][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allUpTo]`(myColumn) }` + * * * #### Flavors of All (Cols): * @@ -8124,10 +6539,11 @@ public interface AllColumnsSelectionDsl { * @see [all] * @see [cols] * @param [column] The specified column up to which all columns should be taken. This column can be referenced - * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. + * to both relatively to the current [ColumnsResolver] and absolutely. */ - public fun ColumnSet.allUpTo(column: AnyColumnReference): ColumnSet = - allUpTo(column.path()) + private interface AllUpToDocs + + /** ## All (Cols) Up To * @@ -8156,7 +6572,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allUpTo][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allUpTo]`(Type::myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allUpTo][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allUpTo]` { myColumn `[in][String.contains]` it.`[name][ColumnWithPath.name]` } }` * * #### Flavors of All (Cols): * @@ -8186,11 +6602,11 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column up to which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnSet.allUpTo(column: KProperty<*>): ColumnSet = - allUpTo(column.toColumnAccessor().path()) + @Suppress("UNCHECKED_CAST") + public fun ColumnSet.allUpTo(column: ColumnFilter): ColumnSet = + allUpToInternal(column as ColumnFilter<*>) as ColumnSet - /** - * ## All (Cols) Up To + /** ## All (Cols) Up To * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], * containing all columns up to [column], including [column] itself. @@ -8217,7 +6633,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allColsUpTo]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allUpTo][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allUpTo]`("pathTo"["myColumn"]) }` * * #### Flavors of All (Cols): * @@ -8247,11 +6663,9 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column up to which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - private interface ColumnsSelectionDslAllUpToDocs { - - /** Example argument to use */ - interface Arg - } + @Suppress("UNCHECKED_CAST") + public fun ColumnSet.allUpTo(column: ColumnPath): ColumnSet = + allUpToInternal { it.path == column } as ColumnSet /** ## All (Cols) Up To * @@ -8280,7 +6694,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]` { myColumn } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allUpTo][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allUpTo]`("myColumn") }` * * #### Flavors of All (Cols): * @@ -8310,8 +6724,8 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column up to which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnsSelectionDsl.allUpTo(column: ColumnSelector): ColumnSet<*> = - asSingleColumn().allColsUpTo(column) + public fun ColumnSet.allUpTo(column: String): ColumnSet = + allUpTo(pathOf(column)) /** ## All (Cols) Up To * @@ -8340,7 +6754,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`("pathTo"["myColumn"]) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allUpTo][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allUpTo]`(myColumn) }` * * #### Flavors of All (Cols): * @@ -8370,8 +6784,8 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column up to which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnsSelectionDsl<*>.allUpTo(column: ColumnPath): ColumnSet<*> = - asSingleColumn().allColsUpTo(column) + public fun ColumnSet.allUpTo(column: AnyColumnReference): ColumnSet = + allUpTo(column.path()) /** ## All (Cols) Up To * @@ -8400,7 +6814,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`("myColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allUpTo][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allUpTo]`(Type::myColumn) }` * * #### Flavors of All (Cols): * @@ -8430,8 +6844,10 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column up to which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnsSelectionDsl<*>.allUpTo(column: String): ColumnSet<*> = - asSingleColumn().allColsUpTo(column) + public fun ColumnSet.allUpTo(column: KProperty<*>): ColumnSet = + allUpTo(column.toColumnAccessor().path()) + + /** ## All (Cols) Up To * @@ -8460,7 +6876,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]` { myColumn } }` * * #### Flavors of All (Cols): * @@ -8490,7 +6906,7 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column up to which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnsSelectionDsl<*>.allUpTo(column: AnyColumnReference): ColumnSet<*> = + public fun ColumnsSelectionDsl.allUpTo(column: ColumnSelector): ColumnSet<*> = asSingleColumn().allColsUpTo(column) /** ## All (Cols) Up To @@ -8520,7 +6936,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(Type::myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`("pathTo"["myColumn"]) }` * * #### Flavors of All (Cols): * @@ -8550,11 +6966,10 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column up to which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun ColumnsSelectionDsl<*>.allUpTo(column: KProperty<*>): ColumnSet<*> = + public fun ColumnsSelectionDsl<*>.allUpTo(column: ColumnPath): ColumnSet<*> = asSingleColumn().allColsUpTo(column) - /** - * ## All (Cols) Up To + /** ## All (Cols) Up To * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], * containing all columns up to [column], including [column] itself. @@ -8581,7 +6996,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { someColumnGroup.`[allColsUpTo][SingleColumn.allColsUpTo]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`("myColumn") }` * * #### Flavors of All (Cols): * @@ -8611,11 +7026,8 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column up to which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - private interface SingleColumnAllUpToDocs { - - /** Example argument to use */ - interface Arg - } + public fun ColumnsSelectionDsl<*>.allUpTo(column: String): ColumnSet<*> = + asSingleColumn().allColsUpTo(column) /** ## All (Cols) Up To * @@ -8644,7 +7056,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsUpTo][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsUpTo]` { myColumn } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(myColumn) }` * * #### Flavors of All (Cols): * @@ -8674,13 +7086,8 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column up to which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun SingleColumn>.allColsUpTo(column: ColumnSelector): ColumnSet<*> { - var resolvedCol: DataColumn<*>? = null - return this - .ensureIsColumnGroup() - .onResolve { resolvedCol = it!!.asColumnGroup().getColumn(column) } - .allUpToInternal { it.data == resolvedCol!! } - } + public fun ColumnsSelectionDsl<*>.allUpTo(column: AnyColumnReference): ColumnSet<*> = + asSingleColumn().allColsUpTo(column) /** ## All (Cols) Up To * @@ -8709,7 +7116,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsUpTo][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsUpTo]`("pathTo"["myColumn"]) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(Type::myColumn) }` * * #### Flavors of All (Cols): * @@ -8739,16 +7146,10 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column up to which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun SingleColumn>.allColsUpTo(column: ColumnPath): ColumnSet<*> { - var path: ColumnPath? = null - return this - .ensureIsColumnGroup() - .onResolve { path = it!!.path } - .allUpToInternal { - // accept both relative and full column path - it.path == path!! + column || it.path == column - } - } + public fun ColumnsSelectionDsl<*>.allUpTo(column: KProperty<*>): ColumnSet<*> = + asSingleColumn().allColsUpTo(column) + + /** ## All (Cols) Up To * @@ -8777,7 +7178,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsUpTo][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsUpTo]`("myColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsUpTo][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsUpTo]` { myColumn } }` * * #### Flavors of All (Cols): * @@ -8807,8 +7208,13 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column up to which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun SingleColumn>.allColsUpTo(column: String): ColumnSet<*> = - allColsUpTo(pathOf(column)) + public fun SingleColumn>.allColsUpTo(column: ColumnSelector): ColumnSet<*> { + var resolvedCol: DataColumn<*>? = null + return this + .ensureIsColumnGroup() + .onResolve { resolvedCol = it!!.asColumnGroup().getColumn(column) } + .allUpToInternal { it.data == resolvedCol!! } + } /** ## All (Cols) Up To * @@ -8837,7 +7243,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsUpTo][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsUpTo]`(myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsUpTo][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsUpTo]`("pathTo"["myColumn"]) }` * * #### Flavors of All (Cols): * @@ -8867,8 +7273,16 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column up to which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun SingleColumn>.allColsUpTo(column: AnyColumnReference): ColumnSet<*> = - allColsUpTo(column.path()) + public fun SingleColumn>.allColsUpTo(column: ColumnPath): ColumnSet<*> { + var path: ColumnPath? = null + return this + .ensureIsColumnGroup() + .onResolve { path = it!!.path } + .allUpToInternal { + // accept both relative and full column path + it.path == path!! + column || it.path == column + } + } /** ## All (Cols) Up To * @@ -8897,7 +7311,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsUpTo][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsUpTo]`(Type::myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsUpTo][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsUpTo]`("myColumn") }` * * #### Flavors of All (Cols): * @@ -8927,11 +7341,10 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column up to which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun SingleColumn>.allColsUpTo(column: KProperty<*>): ColumnSet<*> = - allColsUpTo(column.toColumnAccessor().path()) + public fun SingleColumn>.allColsUpTo(column: String): ColumnSet<*> = + allColsUpTo(pathOf(column)) - /** - * ## All (Cols) Up To + /** ## All (Cols) Up To * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], * containing all columns up to [column], including [column] itself. @@ -8958,7 +7371,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { "someColGroup".`[allColsUpTo][String.allColsUpTo]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsUpTo][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsUpTo]`(myColumn) }` * * #### Flavors of All (Cols): * @@ -8988,11 +7401,8 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column up to which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - private interface StringAllUpToDocs { - - /** Example argument to use */ - interface Arg - } + public fun SingleColumn>.allColsUpTo(column: AnyColumnReference): ColumnSet<*> = + allColsUpTo(column.path()) /** ## All (Cols) Up To * @@ -9021,7 +7431,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsUpTo][kotlin.String.allColsUpTo]` { myColumn } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { someColumnGroup.`[allColsUpTo][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsUpTo]`(Type::myColumn) }` * * #### Flavors of All (Cols): * @@ -9051,8 +7461,10 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column up to which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun String.allColsUpTo(column: ColumnSelector<*, *>): ColumnSet<*> = - columnGroup(this).allColsUpTo(column) + public fun SingleColumn>.allColsUpTo(column: KProperty<*>): ColumnSet<*> = + allColsUpTo(column.toColumnAccessor().path()) + + /** ## All (Cols) Up To * @@ -9081,7 +7493,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsUpTo][kotlin.String.allColsUpTo]`("pathTo"["myColumn"]) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsUpTo][kotlin.String.allColsUpTo]` { myColumn } }` * * #### Flavors of All (Cols): * @@ -9111,7 +7523,7 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column up to which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun String.allColsUpTo(column: ColumnPath): ColumnSet<*> = + public fun String.allColsUpTo(column: ColumnSelector<*, *>): ColumnSet<*> = columnGroup(this).allColsUpTo(column) /** ## All (Cols) Up To @@ -9141,7 +7553,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsUpTo][kotlin.String.allColsUpTo]`("myColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsUpTo][kotlin.String.allColsUpTo]`("pathTo"["myColumn"]) }` * * #### Flavors of All (Cols): * @@ -9171,7 +7583,7 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column up to which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun String.allColsUpTo(column: String): ColumnSet<*> = + public fun String.allColsUpTo(column: ColumnPath): ColumnSet<*> = columnGroup(this).allColsUpTo(column) /** ## All (Cols) Up To @@ -9201,7 +7613,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsUpTo][kotlin.String.allColsUpTo]`(myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsUpTo][kotlin.String.allColsUpTo]`("myColumn") }` * * #### Flavors of All (Cols): * @@ -9231,7 +7643,7 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column up to which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun String.allColsUpTo(column: AnyColumnReference): ColumnSet<*> = + public fun String.allColsUpTo(column: String): ColumnSet<*> = columnGroup(this).allColsUpTo(column) /** ## All (Cols) Up To @@ -9261,7 +7673,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsUpTo][kotlin.String.allColsUpTo]`(Type::myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsUpTo][kotlin.String.allColsUpTo]`(myColumn) }` * * #### Flavors of All (Cols): * @@ -9291,11 +7703,10 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column up to which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - public fun String.allColsUpTo(column: KProperty<*>): ColumnSet<*> = + public fun String.allColsUpTo(column: AnyColumnReference): ColumnSet<*> = columnGroup(this).allColsUpTo(column) - /** - * ## All (Cols) Up To + /** ## All (Cols) Up To * * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], * containing all columns up to [column], including [column] itself. @@ -9322,12 +7733,7 @@ public interface AllColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { DataSchemaType::someColGroup.`[allColsUpTo][KProperty.allColsUpTo]` }` - * - * ## NOTE: - * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you - * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler - * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someColGroup".`[allColsUpTo][kotlin.String.allColsUpTo]`(Type::myColumn) }` * * #### Flavors of All (Cols): * @@ -9357,11 +7763,10 @@ public interface AllColumnsSelectionDsl { * @param [column] The specified column up to which all columns should be taken. This column can be referenced * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. */ - private interface KPropertyAllUpToDocs { + public fun String.allColsUpTo(column: KProperty<*>): ColumnSet<*> = + columnGroup(this).allColsUpTo(column) - /** Example argument to use */ - interface Arg - } + /** * ## All (Cols) Up To @@ -9760,69 +8165,7 @@ public interface AllColumnsSelectionDsl { public fun KProperty<*>.allColsUpTo(column: KProperty<*>): ColumnSet<*> = columnGroup(this).allColsUpTo(column) - /** - * ## All (Cols) Up To - * - * Creates a new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains a subset of columns from [this], - * containing all columns up to [column], including [column] itself. - * - * [column] can be specified both relative to the current [ColumnGroup][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] or the outer scope and - * can be referenced using any [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. - * - * If [column] does not exist, the function will return a [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns. - * - *      - * - * NOTE: Using the `{}` overloads of these functions requires a [ColumnSelector][org.jetbrains.kotlinx.dataframe.ColumnSelector] to be used - * in the Plain DSL, and on [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] and a [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] on [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. - * - * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.Grammar] - * - * #### For example: - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` - * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` - * - * #### Examples for this overload: - * - * `df.`[select][DataFrame.select]` { "pathTo"["someColGroup"].`[allColsUpTo][ColumnPath.allColsUpTo]` }` - * - * #### Flavors of All (Cols): - * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: - * All columns - * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: - * All columns before the specified column, excluding that column - * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: - * All columns after the specified column, excluding that column - * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: - * All columns from the specified column, including that column - * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: - * All columns up to the specified column, including that column - * - * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. - * @see [allBefore] - * @see [allAfter] - * @see [allFrom] - * @see [allUpTo] - * @see [ColumnsSelectionDsl.allExcept] - * @see [all] - * @see [cols] - * @param [column] The specified column up to which all columns should be taken. This column can be referenced - * to both relatively to the current [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] and absolutely. - */ - private interface ColumnPathAllUpToDocs { - - /** Example argument to use */ - interface Arg - } + /** ## All (Cols) Up To * diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/allExcept.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/allExcept.kt index e29493dae..7997f4e3c 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/allExcept.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/allExcept.kt @@ -62,7 +62,7 @@ public interface AllExceptColumnsSelectionDsl { * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * @@ -70,14 +70,14 @@ public interface AllExceptColumnsSelectionDsl { * *      * - * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] + * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] * *             * `| `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `columnNoAccessor: `[String][String]` | `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `columnNoAccessor: `[String][String]` | `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * @@ -118,9 +118,9 @@ public interface AllExceptColumnsSelectionDsl { * * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     .[**allColsExcept**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.allColsExcept] **` { `**[colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` } `** + *     **`.`**[**allColsExcept**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.allColsExcept] **` { `**[colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` } `** * - *     `|` .[**allColsExcept**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.allColsExcept]**`(`**[columnNoAccessor][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnNoAccessorDef]**`,`**` ..`**`)`** + *     `|` **`.`**[**allColsExcept**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.allColsExcept]**`(`**[columnNoAccessor][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnNoAccessorDef]**`,`**` ..`**`)`** * *     `|` [**exceptNew**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.exceptNew] **` { `**[colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` } EXPERIMENTAL!`** * @@ -145,7 +145,7 @@ public interface AllExceptColumnsSelectionDsl { /** [**except**][ColumnsSelectionDsl.except] */ public interface ColumnSetName - /** .[**allColsExcept**][ColumnsSelectionDsl.allColsExcept] */ + /** **`.`**[**allColsExcept**][ColumnsSelectionDsl.allColsExcept] */ public interface ColumnGroupName /** [**exceptNew**][ColumnsSelectionDsl.exceptNew] */ diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt index 4b7bb240d..4e13e1c91 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt @@ -44,18 +44,18 @@ public interface AndColumnsSelectionDsl { * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] + * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] * *             * `| `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `columnOrSet: `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * `columnOrSet: `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * *      * @@ -66,7 +66,7 @@ public interface AndColumnsSelectionDsl { * * [columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef] [**and**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` [ `**`{`**` ] `[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]` [ `**`}`**` ] ` * - * `| `[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef].[**and**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] **`(`**`|`**`{ `**[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**` }`**`|`**`)`** + * `| `[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**`.`**[**and**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] **`(`**`|`**`{ `**[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**` }`**`|`**`)`** * *      * @@ -77,7 +77,7 @@ public interface AndColumnsSelectionDsl { * * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     .[**and**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] **`(`**`|`**`{ `**[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**` }`**`|`**`)`** + *     **`.`**[**and**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] **`(`**`|`**`{ `**[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**` }`**`|`**`)`** * *      * @@ -88,7 +88,7 @@ public interface AndColumnsSelectionDsl { * * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     .[**and**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] **`(`**`|`**`{ `**[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**` }`**`|`**`)`** + *     **`.`**[**and**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] **`(`**`|`**`{ `**[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**` }`**`|`**`)`** * * * @@ -108,7 +108,7 @@ public interface AndColumnsSelectionDsl { /** [**and**][ColumnsSelectionDsl.and] */ public interface InfixName - /** .[**and**][ColumnsSelectionDsl.and] */ + /** **`.`**[**and**][ColumnsSelectionDsl.and] */ public interface Name } diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/col.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/col.kt index cc2f17e32..71fa40841 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/col.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/col.kt @@ -50,11 +50,11 @@ public interface ColColumnsSelectionDsl { * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] + * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] * *             * `| `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] @@ -85,7 +85,7 @@ public interface ColColumnsSelectionDsl { * * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     .[**col**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.col]**`(`**[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** + *     **`.`**[**col**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.col]**`(`**[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** * `|` [**`[`**][ColumnsSelectionDsl.col][index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef][**`]`**][ColumnsSelectionDsl.col] * *      @@ -97,7 +97,7 @@ public interface ColColumnsSelectionDsl { * * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     .[**col**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.col]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** + *     **`.`**[**col**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.col]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** * * * @@ -117,10 +117,10 @@ public interface ColColumnsSelectionDsl { /** [**col**][ColumnsSelectionDsl.col] */ public interface PlainDslName - /** .[**col**][ColumnsSelectionDsl.col] */ + /** **`.`**[**col**][ColumnsSelectionDsl.col] */ public interface ColumnSetName - /** .[**col**][ColumnsSelectionDsl.col] */ + /** **`.`**[**col**][ColumnsSelectionDsl.col] */ public interface ColumnGroupName } diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroup.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroup.kt index 4fe603ecf..b92440d2b 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroup.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroup.kt @@ -52,11 +52,11 @@ public interface ColGroupColumnsSelectionDsl { * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] + * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] * *             * `| `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] @@ -87,7 +87,7 @@ public interface ColGroupColumnsSelectionDsl { * * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     .[**colGroup**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]**`(`**[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** + *     **`.`**[**colGroup**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]**`(`**[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** * *      * @@ -98,7 +98,7 @@ public interface ColGroupColumnsSelectionDsl { * * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     .[**colGroup**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** + *     **`.`**[**colGroup**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** * * * @@ -118,10 +118,10 @@ public interface ColGroupColumnsSelectionDsl { /** [**colGroup**][ColumnsSelectionDsl.colGroup] */ public interface PlainDslName - /** .[**colGroup**][ColumnsSelectionDsl.colGroup] */ + /** **`.`**[**colGroup**][ColumnsSelectionDsl.colGroup] */ public interface ColumnSetName - /** .[**colGroup**][ColumnsSelectionDsl.colGroup] */ + /** **`.`**[**colGroup**][ColumnsSelectionDsl.colGroup] */ public interface ColumnGroupName } diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroups.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroups.kt index 2d6b64386..3d9c25f53 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroups.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroups.kt @@ -49,7 +49,7 @@ public interface ColGroupsColumnsSelectionDsl { * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * @@ -73,7 +73,7 @@ public interface ColGroupsColumnsSelectionDsl { * * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     .[**colGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     **`.`**[**colGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` * *      * @@ -84,7 +84,7 @@ public interface ColGroupsColumnsSelectionDsl { * * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     .[**colGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     **`.`**[**colGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` * * * @@ -104,10 +104,10 @@ public interface ColGroupsColumnsSelectionDsl { /** [**colGroups**][ColumnsSelectionDsl.colGroups] */ public interface PlainDslName - /** .[**colGroups**][ColumnsSelectionDsl.colGroups] */ + /** **`.`**[**colGroups**][ColumnsSelectionDsl.colGroups] */ public interface ColumnSetName - /** .[**colGroups**][ColumnsSelectionDsl.colGroups] */ + /** **`.`**[**colGroups**][ColumnsSelectionDsl.colGroups] */ public interface ColumnGroupName } diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/cols.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/cols.kt index 3d9e1349c..08bbd312e 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/cols.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/cols.kt @@ -48,11 +48,11 @@ public interface ColsColumnsSelectionDsl { * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] + * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] * *             * `| `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] @@ -100,9 +100,9 @@ public interface ColsColumnsSelectionDsl { * * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     .[**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]**`(`**[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`,`**` .. | `[indexRange][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexRangeDef]**`)`** + *     **`.`**[**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]**`(`**[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`,`**` .. | `[indexRange][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexRangeDef]**`)`** * - *     `| `.[**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` [ `**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` } `**`]` + *     `| `**`.`**[**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` [ `**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` } `**`]` * *     `| `[**`[`**][cols]**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**[**`]`**][cols] * @@ -117,9 +117,9 @@ public interface ColsColumnsSelectionDsl { * * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     .[**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` .. | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`,`**` .. | `[indexRange][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexRangeDef]**`)`** + *     **`.`**[**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` .. | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`,`**` .. | `[indexRange][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexRangeDef]**`)`** * - *     `| `.[**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` [ `**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` } `**`]` + *     `| `**`.`**[**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` [ `**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` } `**`]` * *     `| `[**`[`**][cols]**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**[**`]`**][cols] * @@ -143,10 +143,10 @@ public interface ColsColumnsSelectionDsl { /** [**cols**][ColumnsSelectionDsl.cols] */ public interface PlainDslName - /** .[**cols**][ColumnsSelectionDsl.cols] */ + /** **`.`**[**cols**][ColumnsSelectionDsl.cols] */ public interface ColumnSetName - /** .[**cols**][ColumnsSelectionDsl.cols] */ + /** **`.`**[**cols**][ColumnsSelectionDsl.cols] */ public interface ColumnGroupName } diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsAtAnyDepth.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsAtAnyDepth.kt index 57131ff2e..9b725565c 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsAtAnyDepth.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsAtAnyDepth.kt @@ -55,7 +55,7 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * @@ -79,7 +79,7 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     .[**colsAtAnyDepth**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     **`.`**[**colsAtAnyDepth**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` * *      * @@ -90,7 +90,7 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     .[**colsAtAnyDepth**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     **`.`**[**colsAtAnyDepth**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` * * * @@ -108,10 +108,10 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { /** [**colsAtAnyDepth**][ColumnsSelectionDsl.colsAtAnyDepth] */ public interface PlainDslName - /** .[**colsAtAnyDepth**][ColumnsSelectionDsl.colsAtAnyDepth] */ + /** **`.`**[**colsAtAnyDepth**][ColumnsSelectionDsl.colsAtAnyDepth] */ public interface ColumnSetName - /** .[**colsAtAnyDepth**][ColumnsSelectionDsl.colsAtAnyDepth] */ + /** **`.`**[**colsAtAnyDepth**][ColumnsSelectionDsl.colsAtAnyDepth] */ public interface ColumnGroupName } diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsInGroups.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsInGroups.kt index db278383c..8423b9408 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsInGroups.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsInGroups.kt @@ -49,7 +49,7 @@ public interface ColsInGroupsColumnsSelectionDsl { * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * @@ -62,7 +62,7 @@ public interface ColsInGroupsColumnsSelectionDsl { * *      * - * [**colsInGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `] + * [**colsInGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` * *      * @@ -73,7 +73,7 @@ public interface ColsInGroupsColumnsSelectionDsl { * * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     .[**colsInGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     **`.`**[**colsInGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` * *      * @@ -84,7 +84,7 @@ public interface ColsInGroupsColumnsSelectionDsl { * * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     .[**colsInGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     **`.`**[**colsInGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` * * * @@ -104,10 +104,10 @@ public interface ColsInGroupsColumnsSelectionDsl { /** [**colsInGroups**][ColumnsSelectionDsl.colsInGroups] */ public interface PlainDslName - /** .[**colsInGroups**][ColumnsSelectionDsl.colsInGroups] */ + /** **`.`**[**colsInGroups**][ColumnsSelectionDsl.colsInGroups] */ public interface ColumnSetName - /** .[**colsInGroups**][ColumnsSelectionDsl.colsInGroups] */ + /** **`.`**[**colsInGroups**][ColumnsSelectionDsl.colsInGroups] */ public interface ColumnGroupName } diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOf.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOf.kt index 1fe8f2297..6aaf493e3 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOf.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOf.kt @@ -44,18 +44,18 @@ public interface ColsOfColumnsSelectionDsl { * *      * - * `singleColumn: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> + * `singleColumn: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` * *      * - * `columnGroupReference: `[String][String]` | `[KProperty][kotlin.reflect.KProperty]`<*>` + * `columnGroupReference: `[String][String]` | `[KProperty][kotlin.reflect.KProperty]`<*>` * - *                                          - * | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + *                                         + * `| `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] + * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] * *             * `| `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] @@ -90,7 +90,7 @@ public interface ColsOfColumnsSelectionDsl { * * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     .[**colsOf**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**` [` **`(`**[kType][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.KTypeDef]**`)`** `] [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     **`.`**[**colsOf**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**` [` **`(`**[kType][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.KTypeDef]**`)`** `] [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` * *      * @@ -102,7 +102,7 @@ public interface ColsOfColumnsSelectionDsl { * * [singleColumn][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.SingleColumnDef] * - *     .[**colsOf**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**` [` **`(`**[kType][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.KTypeDef]**`)`** `] [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     **`.`**[**colsOf**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**` [` **`(`**[kType][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.KTypeDef]**`)`** `] [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` * * *      @@ -110,7 +110,7 @@ public interface ColsOfColumnsSelectionDsl { * * [columnGroupReference][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupNoSingleColumnDef] * - *     .[**colsOf**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>(`**[kType][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.KTypeDef]**`)`** ` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     **`.`**[**colsOf**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>(`**[kType][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.KTypeDef]**`)`** ` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` * * * @@ -132,10 +132,10 @@ public interface ColsOfColumnsSelectionDsl { /** [**colsOf**][ColumnsSelectionDsl.colsOf] */ public interface PlainDslName - /** .[**colsOf**][ColumnsSelectionDsl.colsOf] */ + /** **`.`**[**colsOf**][ColumnsSelectionDsl.colsOf] */ public interface ColumnSetName - /** .[**colsOf**][ColumnsSelectionDsl.colsOf] */ + /** **`.`**[**colsOf**][ColumnsSelectionDsl.colsOf] */ public interface ColumnGroupName } diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOfKind.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOfKind.kt index 91f01d34f..ad93ebabf 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOfKind.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOfKind.kt @@ -46,7 +46,7 @@ public interface ColsOfKindColumnsSelectionDsl { * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * @@ -74,7 +74,7 @@ public interface ColsOfKindColumnsSelectionDsl { * * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     .[**colsOfKind**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]**`(`**[kind][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnKindDef]**`,`**` ..`**`)`**` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     **`.`**[**colsOfKind**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]**`(`**[kind][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnKindDef]**`,`**` ..`**`)`**` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` * *      * @@ -85,7 +85,7 @@ public interface ColsOfKindColumnsSelectionDsl { * * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     .[**colsOfKind**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]**`(`**[kind][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnKindDef]**`,`**` ..`**`)`**` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     **`.`**[**colsOfKind**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]**`(`**[kind][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnKindDef]**`,`**` ..`**`)`**` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` * * * @@ -105,10 +105,10 @@ public interface ColsOfKindColumnsSelectionDsl { /** [**colsOfKind**][ColumnsSelectionDsl.colGroups] */ public interface PlainDslName - /** .[**colsOfKind**][ColumnsSelectionDsl.colGroups] */ + /** **`.`**[**colsOfKind**][ColumnsSelectionDsl.colGroups] */ public interface ColumnSetName - /** .[**colsOfKind**][ColumnsSelectionDsl.colGroups] */ + /** **`.`**[**colsOfKind**][ColumnsSelectionDsl.colGroups] */ public interface ColumnGroupName } diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnNameFilters.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnNameFilters.kt index 0cbe20314..d0822832f 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnNameFilters.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnNameFilters.kt @@ -39,7 +39,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * @@ -62,8 +62,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * [**nameContains**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameContains]**`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`,`** [ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[regex][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** * - * `|` - * **name**`(`[**Starts**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameEndsWith]`)`**`With`****`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`,`** [ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** + * `|` **`name`**`(`[**Starts**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameEndsWith]`)`**`With`** **`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`,`** [ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** * *      * @@ -74,9 +73,9 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     .[**nameContains**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameContains]**`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`,`** [ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[regex][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** + *     **`.`**[**nameContains**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameContains]**`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`,`** [ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[regex][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** * - *     `|` .**name**`(`[**Starts**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameEndsWith]`)`**`With`****`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`,`** [ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** + *     `|` **`.name`**`(`[**Starts**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameEndsWith]`)`**`With`** **`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`,`** [ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** * *      * @@ -87,9 +86,9 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     .[**colsNameContains**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameContains]**`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`,`** [ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[regex][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** + *     **`.`**[**colsNameContains**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameContains]**`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`,`** [ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[regex][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** * - *     `|` .**colsName**`(`[**Starts**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameStartsWith]`|`[**Ends**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameEndsWith]`)`**`With`****`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`,`** [ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** + *     `|` **`.colsName`**`(`[**Starts**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameStartsWith]`|`[**Ends**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameEndsWith]`)`**`With`** **`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`,`** [ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** * * * @@ -109,20 +108,19 @@ public interface ColumnNameFiltersColumnsSelectionDsl { /** [**nameContains**][ColumnsSelectionDsl.nameContains] */ public interface PlainDslNameContains - /** - * **name**`(`[**Starts**][ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][ColumnsSelectionDsl.nameEndsWith]`)`**`With`** */ + /** **`name`**`(`[**Starts**][ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][ColumnsSelectionDsl.nameEndsWith]`)`**`With`** */ public interface PlainDslNameStartsEndsWith - /** .[**nameContains**][ColumnsSelectionDsl.nameContains] */ + /** **`.`**[**nameContains**][ColumnsSelectionDsl.nameContains] */ public interface ColumnSetNameContains - /** .**name**`(`[**Starts**][ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][ColumnsSelectionDsl.nameEndsWith]`)`**`With`** */ + /** **`.name`**`(`[**Starts**][ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][ColumnsSelectionDsl.nameEndsWith]`)`**`With`** */ public interface ColumnSetNameStartsEndsWith - /** .[**colsNameContains**][ColumnsSelectionDsl.colsNameContains] */ + /** **`.`**[**colsNameContains**][ColumnsSelectionDsl.colsNameContains] */ public interface ColumnGroupNameContains - /** .**colsName**`(`[**Starts**][ColumnsSelectionDsl.colsNameStartsWith]`|`[**Ends**][ColumnsSelectionDsl.colsNameEndsWith]`)`**`With`** */ + /** **`.colsName`**`(`[**Starts**][ColumnsSelectionDsl.colsNameStartsWith]`|`[**Ends**][ColumnsSelectionDsl.colsNameEndsWith]`)`**`With`** */ public interface ColumnGroupNameStartsWith } diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnRange.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnRange.kt index e9d6b89b2..bdaf3a5e4 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnRange.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnRange.kt @@ -7,6 +7,7 @@ import org.jetbrains.kotlinx.dataframe.columns.ColumnReference import org.jetbrains.kotlinx.dataframe.columns.ColumnSet import org.jetbrains.kotlinx.dataframe.documentation.AccessApiLink import org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate +import org.jetbrains.kotlinx.dataframe.documentation.ExcludeFromSources import org.jetbrains.kotlinx.dataframe.impl.columns.addPath import org.jetbrains.kotlinx.dataframe.impl.columns.createColumnSet import kotlin.reflect.KProperty @@ -30,7 +31,7 @@ public interface ColumnRangeColumnsSelectionDsl { *      * * ### Definitions: - * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] + * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] * *             * `| `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] @@ -42,7 +43,7 @@ public interface ColumnRangeColumnsSelectionDsl { * *      * - * [column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef] [**..**][org.jetbrains.kotlinx.dataframe.api.ColumnRangeColumnsSelectionDsl.rangeTo] [column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef] + * [column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` `[**..**][org.jetbrains.kotlinx.dataframe.api.ColumnRangeColumnsSelectionDsl.rangeTo]` `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef] * * * @@ -65,47 +66,20 @@ public interface ColumnRangeColumnsSelectionDsl { public interface PlainDslName } - /** - * ## Range of Columns - * Creates a [ColumnSet] containing all columns from [this] up to (and including) [endInclusive]. - * - * Columns inside of column groups are also supported (as long as they share the same direct parent), - * as well as any combination of [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. - * - * ### Check out: [Grammar] - * - * #### For example: - * - * `df.`[select][DataFrame.select]` { `` }` - * - * @param [endInclusive] The last column in the subset. - * @receiver The first column in the subset. - * @return A [ColumnSet] containing all columns from [this] to [endInclusive]. - * @throws [IllegalArgumentException] if the columns have different parents or the end column is before the - * start column. - * @see [ColumnsSelectionDsl.allBefore] - * @see [ColumnsSelectionDsl.allAfter] - * @see [ColumnsSelectionDsl.allFrom] - * @see [ColumnsSelectionDsl.allUpTo] - */ - private interface CommonRangeOfColumnsDocs { - - /** Examples key */ - interface Example - } + /** * ## Range of Columns * Creates a [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [this] up to (and including) [endInclusive]. * - * Columns inside of column groups are also supported (as long as they share the same direct parent), + * Columns inside column groups are also supported (as long as they share the same direct parent), * as well as any combination of [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColumnRangeColumnsSelectionDsl.Grammar] * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `"fromColumn"[`..`][String.rangeTo]"toColumn"` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { ` `"fromColumn"`[`..`][String.rangeTo]`"toColumn"` ` }` * * @param [endInclusive] The last column in the subset. * @receiver The first column in the subset. @@ -125,14 +99,14 @@ public interface ColumnRangeColumnsSelectionDsl { * ## Range of Columns * Creates a [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [this] up to (and including) [endInclusive]. * - * Columns inside of column groups are also supported (as long as they share the same direct parent), + * Columns inside column groups are also supported (as long as they share the same direct parent), * as well as any combination of [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColumnRangeColumnsSelectionDsl.Grammar] * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `"fromColumn"[`..`][String.rangeTo]Type::toColumn` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { ` `"fromColumn"`[`..`][String.rangeTo]`Type::toColumn` ` }` * * @param [endInclusive] The last column in the subset. * @receiver The first column in the subset. @@ -152,14 +126,14 @@ public interface ColumnRangeColumnsSelectionDsl { * ## Range of Columns * Creates a [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [this] up to (and including) [endInclusive]. * - * Columns inside of column groups are also supported (as long as they share the same direct parent), + * Columns inside column groups are also supported (as long as they share the same direct parent), * as well as any combination of [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColumnRangeColumnsSelectionDsl.Grammar] * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `"fromColumn"[`..`][String.rangeTo]toColumn` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { ` `"fromColumn"`[`..`][String.rangeTo]`toColumn` ` }` * * @param [endInclusive] The last column in the subset. * @receiver The first column in the subset. @@ -179,14 +153,14 @@ public interface ColumnRangeColumnsSelectionDsl { * ## Range of Columns * Creates a [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [this] up to (and including) [endInclusive]. * - * Columns inside of column groups are also supported (as long as they share the same direct parent), + * Columns inside column groups are also supported (as long as they share the same direct parent), * as well as any combination of [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColumnRangeColumnsSelectionDsl.Grammar] * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `Type::fromColumn[`..`][KProperty.rangeTo]"toColumn"` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { ` `Type::fromColumn`[`..`][KProperty.rangeTo]`"toColumn"` ` }` * * @param [endInclusive] The last column in the subset. * @receiver The first column in the subset. @@ -206,14 +180,14 @@ public interface ColumnRangeColumnsSelectionDsl { * ## Range of Columns * Creates a [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [this] up to (and including) [endInclusive]. * - * Columns inside of column groups are also supported (as long as they share the same direct parent), + * Columns inside column groups are also supported (as long as they share the same direct parent), * as well as any combination of [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColumnRangeColumnsSelectionDsl.Grammar] * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `Type::fromColumn[`..`][KProperty.rangeTo]Type::toColumn` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { ` `Type::fromColumn`[`..`][KProperty.rangeTo]`Type::toColumn` ` }` * * @param [endInclusive] The last column in the subset. * @receiver The first column in the subset. @@ -233,14 +207,14 @@ public interface ColumnRangeColumnsSelectionDsl { * ## Range of Columns * Creates a [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [this] up to (and including) [endInclusive]. * - * Columns inside of column groups are also supported (as long as they share the same direct parent), + * Columns inside column groups are also supported (as long as they share the same direct parent), * as well as any combination of [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColumnRangeColumnsSelectionDsl.Grammar] * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `Type::fromColumn[`..`][KProperty.rangeTo]toColumn` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { ` `Type::fromColumn`[`..`][KProperty.rangeTo]`toColumn` ` }` * * @param [endInclusive] The last column in the subset. * @receiver The first column in the subset. @@ -260,14 +234,14 @@ public interface ColumnRangeColumnsSelectionDsl { * ## Range of Columns * Creates a [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [this] up to (and including) [endInclusive]. * - * Columns inside of column groups are also supported (as long as they share the same direct parent), + * Columns inside column groups are also supported (as long as they share the same direct parent), * as well as any combination of [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColumnRangeColumnsSelectionDsl.Grammar] * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `fromColumn[`..`][ColumnReference.rangeTo]"toColumn"` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { ` `fromColumn`[`..`][ColumnReference.rangeTo]`"toColumn"` ` }` * * @param [endInclusive] The last column in the subset. * @receiver The first column in the subset. @@ -287,14 +261,14 @@ public interface ColumnRangeColumnsSelectionDsl { * ## Range of Columns * Creates a [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [this] up to (and including) [endInclusive]. * - * Columns inside of column groups are also supported (as long as they share the same direct parent), + * Columns inside column groups are also supported (as long as they share the same direct parent), * as well as any combination of [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColumnRangeColumnsSelectionDsl.Grammar] * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `fromColumn[`..`][ColumnReference.rangeTo]Type::toColumn` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { ` `fromColumn`[`..`][ColumnReference.rangeTo]`Type::toColumn` ` }` * * @param [endInclusive] The last column in the subset. * @receiver The first column in the subset. @@ -314,14 +288,14 @@ public interface ColumnRangeColumnsSelectionDsl { * ## Range of Columns * Creates a [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [this] up to (and including) [endInclusive]. * - * Columns inside of column groups are also supported (as long as they share the same direct parent), + * Columns inside column groups are also supported (as long as they share the same direct parent), * as well as any combination of [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColumnRangeColumnsSelectionDsl.Grammar] * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `fromColumn[`..`][ColumnReference.rangeTo]toColumn` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { ` `fromColumn`[`..`][ColumnReference.rangeTo]`toColumn` ` }` * * @param [endInclusive] The last column in the subset. * @receiver The first column in the subset. diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/distinct.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/distinct.kt index 1385c667b..0ebd7614d 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/distinct.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/distinct.kt @@ -79,7 +79,7 @@ public interface DistinctColumnsSelectionDsl { * * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     .[**distinct**][org.jetbrains.kotlinx.dataframe.api.DistinctColumnsSelectionDsl.distinct]**`()`** + *     **`.`**[**distinct**][org.jetbrains.kotlinx.dataframe.api.DistinctColumnsSelectionDsl.distinct]**`()`** * * * @@ -97,7 +97,7 @@ public interface DistinctColumnsSelectionDsl { */ public interface Grammar { - /** .[**distinct**][ColumnsSelectionDsl.distinct] */ + /** **`.`**[**distinct**][ColumnsSelectionDsl.distinct] */ public interface ColumnSetName } diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/drop.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/drop.kt index 3c5049237..eb1d65daa 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/drop.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/drop.kt @@ -95,7 +95,7 @@ public interface DropColumnsSelectionDsl { * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * @@ -160,19 +160,19 @@ public interface DropColumnsSelectionDsl { /** [**drop**][ColumnsSelectionDsl.drop]`(`[**Last**][ColumnsSelectionDsl.dropLast]`)` */ public interface PlainDslName - /** .[**drop**][ColumnsSelectionDsl.drop]`(`[**Last**][ColumnSet.dropLast]`)` */ + /** **`.`**[**drop**][ColumnsSelectionDsl.drop]`(`[**Last**][ColumnSet.dropLast]`)` */ public interface ColumnSetName - /** .[**drop**][ColumnsSelectionDsl.dropCols]`(`[**Last**][ColumnsSelectionDsl.dropLastCols]`)`[**Cols**][ColumnsSelectionDsl.dropCols] */ + /** **`.`**[**drop**][ColumnsSelectionDsl.dropCols]`(`[**Last**][ColumnsSelectionDsl.dropLastCols]`)`[**Cols**][ColumnsSelectionDsl.dropCols] */ public interface ColumnGroupName /** [**drop**][ColumnsSelectionDsl.dropWhile]`(`[**Last**][ColumnsSelectionDsl.dropLastWhile]`)`[**While**][ColumnsSelectionDsl.dropWhile] */ public interface PlainDslWhileName - /** .[**drop**][ColumnsSelectionDsl.dropWhile]`(`[**Last**][ColumnsSelectionDsl.dropLastWhile]`)`[**While**][ColumnsSelectionDsl.dropWhile] */ + /** **`.`**[**drop**][ColumnsSelectionDsl.dropWhile]`(`[**Last**][ColumnsSelectionDsl.dropLastWhile]`)`[**While**][ColumnsSelectionDsl.dropWhile] */ public interface ColumnSetWhileName - /** .[**drop**][ColumnsSelectionDsl.dropColsWhile]`(`[**Last**][ColumnsSelectionDsl.dropLastColsWhile]`)`[**ColsWhile**][ColumnsSelectionDsl.dropColsWhile] */ + /** **`.`**[**drop**][ColumnsSelectionDsl.dropColsWhile]`(`[**Last**][ColumnsSelectionDsl.dropLastColsWhile]`)`[**ColsWhile**][ColumnsSelectionDsl.dropColsWhile] */ public interface ColumnGroupWhileName } diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/filter.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/filter.kt index 3bd1d0347..bf0525d89 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/filter.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/filter.kt @@ -88,7 +88,7 @@ public interface FilterColumnsSelectionDsl { * * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     .[**filter**][org.jetbrains.kotlinx.dataframe.api.FilterColumnsSelectionDsl.filter]**` {`** [condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef] **`}`** + *     **`.`**[**filter**][org.jetbrains.kotlinx.dataframe.api.FilterColumnsSelectionDsl.filter]**` {`** [condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef] **`}`** * * * @@ -107,7 +107,7 @@ public interface FilterColumnsSelectionDsl { */ public interface Grammar { - /** .[**filter**][ColumnsSelectionDsl.filter] */ + /** **`.`**[**filter**][ColumnsSelectionDsl.filter] */ public interface ColumnSetName } diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/first.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/first.kt index 505b64613..31f8d1253 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/first.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/first.kt @@ -108,7 +108,7 @@ public interface FirstColumnsSelectionDsl { * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * @@ -132,7 +132,7 @@ public interface FirstColumnsSelectionDsl { * * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     .[**first**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.first]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     **`.`**[**first**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.first]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` * *      * @@ -143,7 +143,7 @@ public interface FirstColumnsSelectionDsl { * * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     .[**firstCol**][org.jetbrains.kotlinx.dataframe.api.FirstColumnsSelectionDsl.firstCol]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     **`.`**[**firstCol**][org.jetbrains.kotlinx.dataframe.api.FirstColumnsSelectionDsl.firstCol]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` * * * @@ -163,10 +163,10 @@ public interface FirstColumnsSelectionDsl { /** [**first**][ColumnsSelectionDsl.first] */ public interface PlainDslName - /** .[**first**][ColumnsSelectionDsl.first] */ + /** **`.`**[**first**][ColumnsSelectionDsl.first] */ public interface ColumnSetName - /** .[**firstCol**][ColumnsSelectionDsl.firstCol] */ + /** **`.`**[**firstCol**][ColumnsSelectionDsl.firstCol] */ public interface ColumnGroupName } diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCol.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCol.kt index 1fb64f77f..7249eefc0 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCol.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCol.kt @@ -50,11 +50,11 @@ public interface FrameColColumnsSelectionDsl { * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] + * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] * *             * `| `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] @@ -85,7 +85,7 @@ public interface FrameColColumnsSelectionDsl { * * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     .[**frameCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.frameCol]**`(`**[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** + *     **`.`**[**frameCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.frameCol]**`(`**[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** * *      * @@ -96,7 +96,7 @@ public interface FrameColColumnsSelectionDsl { * * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     .[**frameCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.frameCol]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** + *     **`.`**[**frameCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.frameCol]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** * * * @@ -116,10 +116,10 @@ public interface FrameColColumnsSelectionDsl { /** [**frameCol**][ColumnsSelectionDsl.frameCol] */ public interface PlainDslName - /** .[**frameCol**][ColumnsSelectionDsl.frameCol] */ + /** **`.`**[**frameCol**][ColumnsSelectionDsl.frameCol] */ public interface ColumnSetName - /** .[**frameCol**][ColumnsSelectionDsl.frameCol] */ + /** **`.`**[**frameCol**][ColumnsSelectionDsl.frameCol] */ public interface ColumnGroupName } diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCols.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCols.kt index 779030ca0..fcdafd3eb 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCols.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCols.kt @@ -46,7 +46,7 @@ public interface FrameColsColumnsSelectionDsl { * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * @@ -70,7 +70,7 @@ public interface FrameColsColumnsSelectionDsl { * * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     .[**frameCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     **`.`**[**frameCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` * *      * @@ -81,7 +81,7 @@ public interface FrameColsColumnsSelectionDsl { * * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     .[**frameCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     **`.`**[**frameCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` * * * @@ -101,10 +101,10 @@ public interface FrameColsColumnsSelectionDsl { /** [**frameCols**][ColumnsSelectionDsl.colGroups] */ public interface PlainDslName - /** .[**frameCols**][ColumnsSelectionDsl.colGroups] */ + /** **`.`**[**frameCols**][ColumnsSelectionDsl.colGroups] */ public interface ColumnSetName - /** .[**frameCols**][ColumnsSelectionDsl.colGroups] */ + /** **`.`**[**frameCols**][ColumnsSelectionDsl.colGroups] */ public interface ColumnGroupName } diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/last.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/last.kt index 1bca47b2e..08f652f57 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/last.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/last.kt @@ -108,7 +108,7 @@ public interface LastColumnsSelectionDsl { * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * @@ -132,7 +132,7 @@ public interface LastColumnsSelectionDsl { * * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     .[**last**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.last]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     **`.`**[**last**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.last]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` * *      * @@ -143,7 +143,7 @@ public interface LastColumnsSelectionDsl { * * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     .[**lastCol**][org.jetbrains.kotlinx.dataframe.api.LastColumnsSelectionDsl.lastCol]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     **`.`**[**lastCol**][org.jetbrains.kotlinx.dataframe.api.LastColumnsSelectionDsl.lastCol]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` * * * @@ -163,10 +163,10 @@ public interface LastColumnsSelectionDsl { /** [**last**][ColumnsSelectionDsl.last] */ public interface PlainDslName - /** .[**last**][ColumnsSelectionDsl.last] */ + /** **`.`**[**last**][ColumnsSelectionDsl.last] */ public interface ColumnSetName - /** .[**lastCol**][ColumnsSelectionDsl.lastCol] */ + /** **`.`**[**lastCol**][ColumnsSelectionDsl.lastCol] */ public interface ColumnGroupName } diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/rename.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/rename.kt index d2954f5e4..39ec811a8 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/rename.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/rename.kt @@ -126,7 +126,7 @@ public interface RenameColumnsSelectionDsl { *      * * ### Definitions: - * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] + * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] * *             * `| `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] @@ -140,9 +140,9 @@ public interface RenameColumnsSelectionDsl { * * [column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef] [**named**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.named]`/`[**into**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.into] [column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef] * - * `| `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef].[**named**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.named]**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`** + * `| `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`.`**[**named**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.named]**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`** * - * `| `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef].[**into**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.into]**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`** + * `| `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`.`**[**into**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.into]**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`** * * * @@ -168,10 +168,10 @@ public interface RenameColumnsSelectionDsl { /** [**into**][ColumnsSelectionDsl.into] */ public interface InfixIntoName - /** .[**named**][ColumnsSelectionDsl.named] */ + /** **`.`**[**named**][ColumnsSelectionDsl.named] */ public interface NamedName - /** .[**into**][ColumnsSelectionDsl.into] */ + /** **`.`**[**into**][ColumnsSelectionDsl.into] */ public interface IntoName } diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/select.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/select.kt index c678eeb7e..331fc61a6 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/select.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/select.kt @@ -262,7 +262,7 @@ public interface SelectColumnsSelectionDsl { * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * @@ -281,7 +281,7 @@ public interface SelectColumnsSelectionDsl { * * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     .[**select**][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]**` {`** [colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef] **`}`** + *     **`.`**[**select**][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]**` {`** [colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef] **`}`** * *     `|`[**` {`**][ColumnsSelectionDsl.select] [colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef] [**`}`**][ColumnsSelectionDsl.select] * @@ -299,7 +299,7 @@ public interface SelectColumnsSelectionDsl { */ public interface Grammar { - /** .[**select**][ColumnsSelectionDsl.select] */ + /** **`.`**[**select**][ColumnsSelectionDsl.select] */ public interface ColumnGroupName } diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/simplify.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/simplify.kt index e597bfd34..656d2bbb7 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/simplify.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/simplify.kt @@ -45,7 +45,7 @@ public interface SimplifyColumnsSelectionDsl { * * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     .[**simplify**][org.jetbrains.kotlinx.dataframe.api.SimplifyColumnsSelectionDsl.simplify]**`()`** + *     **`.`**[**simplify**][org.jetbrains.kotlinx.dataframe.api.SimplifyColumnsSelectionDsl.simplify]**`()`** * * * @@ -63,7 +63,7 @@ public interface SimplifyColumnsSelectionDsl { */ public interface Grammar { - /** .[**simplify**][ColumnsSelectionDsl.simplify] */ + /** **`.`**[**simplify**][ColumnsSelectionDsl.simplify] */ public interface ColumnSetName } diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/single.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/single.kt index 96ba64b8c..6b5926424 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/single.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/single.kt @@ -78,7 +78,7 @@ public interface SingleColumnsSelectionDsl { * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * @@ -102,7 +102,7 @@ public interface SingleColumnsSelectionDsl { * * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     .[**single**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.single]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     **`.`**[**single**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.single]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` * *      * @@ -113,7 +113,7 @@ public interface SingleColumnsSelectionDsl { * * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     .[**singleCol**][org.jetbrains.kotlinx.dataframe.api.SingleColumnsSelectionDsl.singleCol]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     **`.`**[**singleCol**][org.jetbrains.kotlinx.dataframe.api.SingleColumnsSelectionDsl.singleCol]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` * * * @@ -133,10 +133,10 @@ public interface SingleColumnsSelectionDsl { /** [**single**][ColumnsSelectionDsl.single] */ public interface PlainDslName - /** .[**single**][ColumnsSelectionDsl.single] */ + /** **`.`**[**single**][ColumnsSelectionDsl.single] */ public interface ColumnSetName - /** .[**singleCol**][ColumnsSelectionDsl.singleCol] */ + /** **`.`**[**singleCol**][ColumnsSelectionDsl.singleCol] */ public interface ColumnGroupName } diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/take.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/take.kt index b9040cd56..693ac329a 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/take.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/take.kt @@ -87,7 +87,7 @@ public interface TakeColumnsSelectionDsl { * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * @@ -152,19 +152,19 @@ public interface TakeColumnsSelectionDsl { /** [**take**][ColumnsSelectionDsl.take]`(`[**Last**][ColumnsSelectionDsl.takeLast]`)` */ public interface PlainDslName - /** .[**take**][ColumnsSelectionDsl.take]`(`[**Last**][ColumnSet.takeLast]`)` */ + /** **`.`**[**take**][ColumnsSelectionDsl.take]`(`[**Last**][ColumnSet.takeLast]`)` */ public interface ColumnSetName - /** .[**take**][ColumnsSelectionDsl.takeCols]`(`[**Last**][ColumnsSelectionDsl.takeLastCols]`)`[**Cols**][ColumnsSelectionDsl.takeCols] */ + /** **`.`**[**take**][ColumnsSelectionDsl.takeCols]`(`[**Last**][ColumnsSelectionDsl.takeLastCols]`)`[**Cols**][ColumnsSelectionDsl.takeCols] */ public interface ColumnGroupName /** [**take**][ColumnsSelectionDsl.takeWhile]`(`[**Last**][ColumnsSelectionDsl.takeLastWhile]`)`[**While**][ColumnsSelectionDsl.takeWhile] */ public interface PlainDslWhileName - /** .[**take**][ColumnsSelectionDsl.takeWhile]`(`[**Last**][ColumnsSelectionDsl.takeLastWhile]`)`[**While**][ColumnsSelectionDsl.takeWhile] */ + /** **`.`**[**take**][ColumnsSelectionDsl.takeWhile]`(`[**Last**][ColumnsSelectionDsl.takeLastWhile]`)`[**While**][ColumnsSelectionDsl.takeWhile] */ public interface ColumnSetWhileName - /** .[**take**][ColumnsSelectionDsl.takeColsWhile]`(`[**Last**][ColumnsSelectionDsl.takeLastColsWhile]`)`[**ColsWhile**][ColumnsSelectionDsl.takeColsWhile] */ + /** **`.`**[**take**][ColumnsSelectionDsl.takeColsWhile]`(`[**Last**][ColumnsSelectionDsl.takeLastColsWhile]`)`[**ColsWhile**][ColumnsSelectionDsl.takeColsWhile] */ public interface ColumnGroupWhileName } diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCol.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCol.kt index c8aa9e99d..98c04356a 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCol.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCol.kt @@ -50,11 +50,11 @@ public interface ValueColColumnsSelectionDsl { * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] + * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] * *             * `| `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] @@ -85,7 +85,7 @@ public interface ValueColColumnsSelectionDsl { * * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     .[**valueCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCol]**`(`**[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** + *     **`.`**[**valueCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCol]**`(`**[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** * *      * @@ -96,7 +96,7 @@ public interface ValueColColumnsSelectionDsl { * * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     .[**valueCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCol]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** + *     **`.`**[**valueCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCol]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** * * * @@ -116,10 +116,10 @@ public interface ValueColColumnsSelectionDsl { /** [**valueCol**][ColumnsSelectionDsl.valueCol] */ public interface PlainDslName - /** .[**valueCol**][ColumnsSelectionDsl.valueCol] */ + /** **`.`**[**valueCol**][ColumnsSelectionDsl.valueCol] */ public interface ColumnSetName - /** .[**valueCol**][ColumnsSelectionDsl.valueCol] */ + /** **`.`**[**valueCol**][ColumnsSelectionDsl.valueCol] */ public interface ColumnGroupName } diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCols.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCols.kt index f1bfdd201..dbba1b38e 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCols.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCols.kt @@ -46,7 +46,7 @@ public interface ValueColsColumnsSelectionDsl { * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * @@ -70,7 +70,7 @@ public interface ValueColsColumnsSelectionDsl { * * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     .[**valueCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     **`.`**[**valueCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` * *      * @@ -81,7 +81,7 @@ public interface ValueColsColumnsSelectionDsl { * * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     .[**valueCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     **`.`**[**valueCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` * * * @@ -101,10 +101,10 @@ public interface ValueColsColumnsSelectionDsl { /** [**valueCols**][ColumnsSelectionDsl.valueCols] */ public interface PlainDslName - /** .[**valueCols**][ColumnsSelectionDsl.valueCols] */ + /** **`.`**[**valueCols**][ColumnsSelectionDsl.valueCols] */ public interface ColumnSetName - /** .[**valueCols**][ColumnsSelectionDsl.valueCols] */ + /** **`.`**[**valueCols**][ColumnsSelectionDsl.valueCols] */ public interface ColumnGroupName } diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/withoutNulls.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/withoutNulls.kt index 7dbd43d59..6ec79bc2c 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/withoutNulls.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/withoutNulls.kt @@ -42,7 +42,7 @@ public interface WithoutNullsColumnsSelectionDsl { * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * @@ -62,7 +62,7 @@ public interface WithoutNullsColumnsSelectionDsl { * * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     .[**withoutNulls**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.withoutNulls]**`()`** + *     **`.`**[**withoutNulls**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.withoutNulls]**`()`** * *      * @@ -73,7 +73,7 @@ public interface WithoutNullsColumnsSelectionDsl { * * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     .[**colsWithoutNulls**][org.jetbrains.kotlinx.dataframe.api.WithoutNullsColumnsSelectionDsl.colsWithoutNulls]**`()`** + *     **`.`**[**colsWithoutNulls**][org.jetbrains.kotlinx.dataframe.api.WithoutNullsColumnsSelectionDsl.colsWithoutNulls]**`()`** * * * @@ -93,10 +93,10 @@ public interface WithoutNullsColumnsSelectionDsl { /** [**withoutNulls**][ColumnsSelectionDsl.withoutNulls] */ public interface PlainDslName - /** .[**withoutNulls**][ColumnsSelectionDsl.withoutNulls] */ + /** **`.`**[**withoutNulls**][ColumnsSelectionDsl.withoutNulls] */ public interface ColumnSetName - /** .[**colsWithoutNulls**][ColumnsSelectionDsl.colsWithoutNulls] */ + /** **`.`**[**colsWithoutNulls**][ColumnsSelectionDsl.colsWithoutNulls] */ public interface ColumnGroupName } diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/DslGrammarTemplateColumnsSelectionDsl.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/DslGrammarTemplateColumnsSelectionDsl.kt index 9db59c86b..34e10adb0 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/DslGrammarTemplateColumnsSelectionDsl.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/DslGrammarTemplateColumnsSelectionDsl.kt @@ -107,10 +107,10 @@ public interface DslGrammarTemplateColumnsSelectionDsl { // region Definitions for at the top of the template /** - * `columnGroupReference: `[String][String]` | `[KProperty][kotlin.reflect.KProperty]`<*>` + * `columnGroupReference: `[String][String]` | `[KProperty][kotlin.reflect.KProperty]`<*>` * - *                                          - * | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + *                                         + * `| `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] */ public interface ColumnGroupNoSingleColumnDef @@ -121,7 +121,7 @@ public interface DslGrammarTemplateColumnsSelectionDsl { public interface ColumnsSelectorDef /** - * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] + * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] * *             * `| `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] @@ -132,14 +132,14 @@ public interface DslGrammarTemplateColumnsSelectionDsl { * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][DataRow]`<*>>` | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] */ public interface ColumnGroupDef - /** `columnNoAccessor: `[String][String]` | `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] */ + /** `columnNoAccessor: `[String][String]` | `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] */ public interface ColumnNoAccessorDef - /** `columnOrSet: `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] */ + /** `columnOrSet: `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] */ public interface ColumnOrColumnSetDef /** `columnSet: `[ColumnSet][ColumnSet]`<*>` */ @@ -182,7 +182,7 @@ public interface DslGrammarTemplateColumnsSelectionDsl { public interface RegexDef /** - * `singleColumn: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> + * `singleColumn: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` */ public interface SingleColumnDef @@ -286,7 +286,7 @@ public interface DslGrammarTemplateColumnsSelectionDsl { * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/ColumnsSelectionDsl.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/ColumnsSelectionDsl.kt index 8fdaa2fe6..860687402 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/ColumnsSelectionDsl.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/ColumnsSelectionDsl.kt @@ -171,225 +171,183 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * {@comment Plain DSL: -------------------------------------------------------------------------------------------- } * {@set [DslGrammarTemplate.PlainDslFunctionsArg] * - * {@include [DslGrammarTemplate.ColumnRef]} {@include [ColumnRangeColumnsSelectionDsl.Grammar.PlainDslName]} {@include [DslGrammarTemplate.ColumnRef]} + * {@include [DslGrammarTemplate.ColumnRef]}` `{@include [ColumnRangeColumnsSelectionDsl.Grammar.PlainDslName]}` `{@include [DslGrammarTemplate.ColumnRef]} * - * `|` **`this`**`/`**`it`**[**`[`**][cols]{@include [DslGrammarTemplate.ColumnRef]}**`,`**` .. `[**`]`**][cols] + * `| `**`this`**`/`**`it`**[**`[`**][cols]{@include [DslGrammarTemplate.ColumnRef]}**`,`**` .. `[**`]`**][cols] * - * `|` **`this`**`/`**`it`**[**`[`**][cols]**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**[**`]`**][cols] + * `| `**`this`**`/`**`it`**[**`[`**][cols]**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**[**`]`**][cols] * - * `|` {@include [AllColumnsSelectionDsl.Grammar.PlainDslName]}**`()`** + * `| `{@include [AllColumnsSelectionDsl.Grammar.PlainDslName]}**`()`** * - * `|` **`all`**`(`{@include [AllColumnsSelectionDsl.Grammar.Before]}`|`{@include [AllColumnsSelectionDsl.Grammar.After]}`|`{@include [AllColumnsSelectionDsl.Grammar.From]}`|`{@include [AllColumnsSelectionDsl.Grammar.UpTo]}`)` `(` **`(`**{@include [DslGrammarTemplate.ColumnRef]}**`)`** `|` **`{`** {@include [DslGrammarTemplate.ColumnSelectorRef]} **`\}`** `)` + * `| `**`all`**`(`{@include [AllColumnsSelectionDsl.Grammar.Before]}`|`{@include [AllColumnsSelectionDsl.Grammar.After]}`|`{@include [AllColumnsSelectionDsl.Grammar.From]}`|`{@include [AllColumnsSelectionDsl.Grammar.UpTo]}`) ( `**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`)`**` | `**`{ `**{@include [DslGrammarTemplate.ColumnSelectorRef]}**` \}`**` )` * - * `|` {@include [AllExceptColumnsSelectionDsl.Grammar.PlainDslName]} **`{ `**{@include [DslGrammarTemplate.ColumnsSelectorRef]}**` \}`** + * `| `{@include [AllExceptColumnsSelectionDsl.Grammar.PlainDslName]}**` { `**{@include [DslGrammarTemplate.ColumnsSelectorRef]}**` \}`** * - * `|` {@include [AllExceptColumnsSelectionDsl.Grammar.PlainDslName]}**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`,`**` ..`**`)`** + * `| `{@include [AllExceptColumnsSelectionDsl.Grammar.PlainDslName]}**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`,`**` ..`**`)`** * - * `|` {@include [DslGrammarTemplate.ColumnOrColumnSetRef]} {@include [AndColumnsSelectionDsl.Grammar.InfixName]}` [ `**`{`**` ] `{@include [DslGrammarTemplate.ColumnOrColumnSetRef]}` [ `**`\}`**` ] ` + * `| `{@include [DslGrammarTemplate.ColumnOrColumnSetRef]}` `{@include [AndColumnsSelectionDsl.Grammar.InfixName]}` [ `**`{`**` ] `{@include [DslGrammarTemplate.ColumnOrColumnSetRef]}` [ `**`\}`**` ] ` * - * `|` {@include [DslGrammarTemplate.ColumnOrColumnSetRef]}{@include [AndColumnsSelectionDsl.Grammar.Name]} **`(`**`|`**`{ `**{@include [DslGrammarTemplate.ColumnOrColumnSetRef]}**` \}`**`|`**`)`** + * `| `{@include [DslGrammarTemplate.ColumnOrColumnSetRef]}{@include [AndColumnsSelectionDsl.Grammar.Name]}**` (`**`|`**`{ `**{@include [DslGrammarTemplate.ColumnOrColumnSetRef]}**` \}`**`|`**`)`** * - * `|` `(` - * {@include [ColColumnsSelectionDsl.Grammar.PlainDslName]} - * `|` {@include [ValueColColumnsSelectionDsl.Grammar.PlainDslName]} - * `|` {@include [FrameColColumnsSelectionDsl.Grammar.PlainDslName]} - * `|` {@include [ColGroupColumnsSelectionDsl.Grammar.PlainDslName]} - * `)[`**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**`]`**`(`**{@include [DslGrammarTemplate.ColumnRef]}` | `{@include [DslGrammarTemplate.IndexRef]}**`)`** + * `| (`{@include [ColColumnsSelectionDsl.Grammar.PlainDslName]}`| `{@include [ValueColColumnsSelectionDsl.Grammar.PlainDslName]}`| `{@include [FrameColColumnsSelectionDsl.Grammar.PlainDslName]}`| `{@include [ColGroupColumnsSelectionDsl.Grammar.PlainDslName]}`)[`**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**`]`**`(`**{@include [DslGrammarTemplate.ColumnRef]}` | `{@include [DslGrammarTemplate.IndexRef]}**`)`** * - * `|` `(` - * {@include [ColsColumnsSelectionDsl.Grammar.PlainDslName]} - * `|` {@include [ValueColsColumnsSelectionDsl.Grammar.PlainDslName]} - * `|` {@include [FrameColsColumnsSelectionDsl.Grammar.PlainDslName]} - * `|` {@include [ColGroupsColumnsSelectionDsl.Grammar.PlainDslName]} - * `) [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * `| (`{@include [ColsColumnsSelectionDsl.Grammar.PlainDslName]}`| `{@include [ValueColsColumnsSelectionDsl.Grammar.PlainDslName]}`| `{@include [FrameColsColumnsSelectionDsl.Grammar.PlainDslName]}`| `{@include [ColGroupsColumnsSelectionDsl.Grammar.PlainDslName]}`) [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * - * `|` {@include [ColsColumnsSelectionDsl.Grammar.PlainDslName]}`[`**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**`]`**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`,`**` .. | `{@include [DslGrammarTemplate.IndexRef]}**`,`**` .. | `{@include [DslGrammarTemplate.IndexRangeRef]}**`)`** + * `| `{@include [ColsColumnsSelectionDsl.Grammar.PlainDslName]}`[`**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**`]`**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`,`**` .. | `{@include [DslGrammarTemplate.IndexRef]}**`,`**` .. | `{@include [DslGrammarTemplate.IndexRangeRef]}**`)`** * - * `|` {@include [ColsAtAnyDepthColumnsSelectionDsl.Grammar.PlainDslName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * `| `{@include [ColsAtAnyDepthColumnsSelectionDsl.Grammar.PlainDslName]}` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * - * `|` {@include [ColsInGroupsColumnsSelectionDsl.Grammar.PlainDslName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `] + * `| `{@include [ColsInGroupsColumnsSelectionDsl.Grammar.PlainDslName]}` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * - * `|` {@include [ColsOfColumnsSelectionDsl.Grammar.PlainDslName]}**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**` [` **`(`**{@include [DslGrammarTemplate.KTypeRef]}**`)`** `] [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * `| `{@include [ColsOfColumnsSelectionDsl.Grammar.PlainDslName]}**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**` [ `**`(`**{@include [DslGrammarTemplate.KTypeRef]}**`)`**` ] [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * - * `|` {@include [ColsOfKindColumnsSelectionDsl.Grammar.PlainDslName]}**`(`**{@include [DslGrammarTemplate.ColumnKindRef]}**`,`**` ..`**`)`**` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * `| `{@include [ColsOfKindColumnsSelectionDsl.Grammar.PlainDslName]}**`(`**{@include [DslGrammarTemplate.ColumnKindRef]}**`,`**` ..`**`)`**` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * - * `|` {@include [DropColumnsSelectionDsl.Grammar.PlainDslName]}**`(`**{@include [DslGrammarTemplate.NumberRef]}**`)`** + * `| `{@include [DropColumnsSelectionDsl.Grammar.PlainDslName]}**`(`**{@include [DslGrammarTemplate.NumberRef]}**`)`** * - * `|` {@include [DropColumnsSelectionDsl.Grammar.PlainDslWhileName]}**` { `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** + * `| `{@include [DropColumnsSelectionDsl.Grammar.PlainDslWhileName]}**` { `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** * - * `|` {@include [ExprColumnsSelectionDsl.Grammar.PlainDslName]}**`(`**`[`{@include [DslGrammarTemplate.NameRef]}**`,`**`][`{@include [DslGrammarTemplate.InferRef]}`]`**`)`** **`{ `**{@include [DslGrammarTemplate.ColumnExpressionRef]}**` \}`** + * `| `{@include [ExprColumnsSelectionDsl.Grammar.PlainDslName]}**`(`**`[`{@include [DslGrammarTemplate.NameRef]}**`,`**`][`{@include [DslGrammarTemplate.InferRef]}`]`**`) { `**{@include [DslGrammarTemplate.ColumnExpressionRef]}**` \}`** * - * `|` `(` - * {@include [FirstColumnsSelectionDsl.Grammar.PlainDslName]} - * `|` {@include [LastColumnsSelectionDsl.Grammar.PlainDslName]} - * `|` {@include [SingleColumnsSelectionDsl.Grammar.PlainDslName]} - * `) [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * `| (`{@include [FirstColumnsSelectionDsl.Grammar.PlainDslName]}`| `{@include [LastColumnsSelectionDsl.Grammar.PlainDslName]}`| `{@include [SingleColumnsSelectionDsl.Grammar.PlainDslName]}`) [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * - * `|` {@include [ColumnNameFiltersColumnsSelectionDsl.Grammar.PlainDslNameContains]}**`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`,`** {@include [DslGrammarTemplate.IgnoreCaseRef]}`] | `{@include [DslGrammarTemplate.RegexRef]}**`)`** + * `| `{@include [ColumnNameFiltersColumnsSelectionDsl.Grammar.PlainDslNameContains]}**`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`, `**{@include [DslGrammarTemplate.IgnoreCaseRef]}`] | `{@include [DslGrammarTemplate.RegexRef]}**`)`** * - * `|` {@include [ColumnNameFiltersColumnsSelectionDsl.Grammar.PlainDslNameStartsEndsWith]}**`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`,`** {@include [DslGrammarTemplate.IgnoreCaseRef]}`]`**`)`** + * `| `{@include [ColumnNameFiltersColumnsSelectionDsl.Grammar.PlainDslNameStartsEndsWith]}**` (`**{@include [DslGrammarTemplate.TextRef]}`[`**`, `**{@include [DslGrammarTemplate.IgnoreCaseRef]}`]`**`)`** * - * `|` {@include [DslGrammarTemplate.ColumnRef]} {@include [RenameColumnsSelectionDsl.Grammar.InfixNamedName]}`/`{@include [RenameColumnsSelectionDsl.Grammar.InfixIntoName]} {@include [DslGrammarTemplate.ColumnRef]} + * `| `{@include [DslGrammarTemplate.ColumnRef]}` `{@include [RenameColumnsSelectionDsl.Grammar.InfixNamedName]}`/`{@include [RenameColumnsSelectionDsl.Grammar.InfixIntoName]}` `{@include [DslGrammarTemplate.ColumnRef]} * - * `|` {@include [DslGrammarTemplate.ColumnRef]}`(`{@include [RenameColumnsSelectionDsl.Grammar.NamedName]}`|`{@include [RenameColumnsSelectionDsl.Grammar.IntoName]}`)`**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`)`** + * `| `{@include [DslGrammarTemplate.ColumnRef]}`(`{@include [RenameColumnsSelectionDsl.Grammar.NamedName]}`|`{@include [RenameColumnsSelectionDsl.Grammar.IntoName]}`)`**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`)`** * - * `|` {@include [NoneColumnsSelectionDsl.Grammar.PlainDslName]}**`()`** + * `| `{@include [NoneColumnsSelectionDsl.Grammar.PlainDslName]}**`()`** * - * `|` {@include [TakeColumnsSelectionDsl.Grammar.PlainDslName]}**`(`**{@include [DslGrammarTemplate.NumberRef]}**`)`** + * `| `{@include [TakeColumnsSelectionDsl.Grammar.PlainDslName]}**`(`**{@include [DslGrammarTemplate.NumberRef]}**`)`** * - * `|` {@include [TakeColumnsSelectionDsl.Grammar.PlainDslWhileName]}**` { `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** + * `| `{@include [TakeColumnsSelectionDsl.Grammar.PlainDslWhileName]}**` { `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** * - * `|` {@include [WithoutNullsColumnsSelectionDsl.Grammar.PlainDslName]}**`()`** + * `| `{@include [WithoutNullsColumnsSelectionDsl.Grammar.PlainDslName]}**`()`** * } * {@comment ColumnSet: -------------------------------------------------------------------------------------------- } * {@set [DslGrammarTemplate.ColumnSetFunctionsArg] * * {@include [Indent]}[**`[`**][ColumnsSelectionDsl.col]{@include [DslGrammarTemplate.IndexRef]}[**`]`**][ColumnsSelectionDsl.col] * - * {@include [Indent]}`|` [**`[`**][cols]{@include [DslGrammarTemplate.IndexRef]}**`,`**` .. | `{@include [DslGrammarTemplate.IndexRangeRef]}[**`]`**][cols]` + * {@include [Indent]}`| `[**`[`**][cols]{@include [DslGrammarTemplate.IndexRef]}**`,`**` .. | `{@include [DslGrammarTemplate.IndexRangeRef]}[**`]`**][cols]` * - * {@include [Indent]}`|` [**`[`**][cols]**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**[**`]`**][cols] + * {@include [Indent]}`| `[**`[`**][cols]**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**[**`]`**][cols] * - * {@include [Indent]}`|` {@include [AllColumnsSelectionDsl.Grammar.ColumnSetName]}**`()`** + * {@include [Indent]}`| `{@include [AllColumnsSelectionDsl.Grammar.ColumnSetName]}**`()`** * - * {@include [Indent]}`|` .**`all`**`(`{@include [AllColumnsSelectionDsl.Grammar.Before]}`|`{@include [AllColumnsSelectionDsl.Grammar.After]}`|`{@include [AllColumnsSelectionDsl.Grammar.From]}`|`{@include [AllColumnsSelectionDsl.Grammar.UpTo]}`)` `(` **`(`**{@include [DslGrammarTemplate.ColumnRef]}**`)`** `|` **`{`** {@include [DslGrammarTemplate.ConditionRef]} **`\}`** `)` + * {@include [Indent]}`| `**`.all`**`(`{@include [AllColumnsSelectionDsl.Grammar.Before]}`|`{@include [AllColumnsSelectionDsl.Grammar.After]}`|`{@include [AllColumnsSelectionDsl.Grammar.From]}`|`{@include [AllColumnsSelectionDsl.Grammar.UpTo]}`) ( `**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`)`**` | `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` )` * - * {@include [Indent]}`|` {@include [AndColumnsSelectionDsl.Grammar.Name]} **`(`**`|`**`{ `**{@include [DslGrammarTemplate.ColumnOrColumnSetRef]}**` \}`**`|`**`)`** + * {@include [Indent]}`| `{@include [AndColumnsSelectionDsl.Grammar.Name]}**` (`**`|`**`{ `**{@include [DslGrammarTemplate.ColumnOrColumnSetRef]}**` \}`**`|`**`)`** * - * {@include [Indent]}`|` `(` - * {@include [ColColumnsSelectionDsl.Grammar.ColumnSetName]} - * `|` {@include [ValueColColumnsSelectionDsl.Grammar.ColumnSetName]} - * `|` {@include [FrameColColumnsSelectionDsl.Grammar.ColumnSetName]} - * `|` {@include [ColGroupColumnsSelectionDsl.Grammar.ColumnSetName]} - * `)`**`(`**{@include [DslGrammarTemplate.IndexRef]}**`)`** + * {@include [Indent]}`| (`{@include [ColColumnsSelectionDsl.Grammar.ColumnSetName]}`| `{@include [ValueColColumnsSelectionDsl.Grammar.ColumnSetName]}`| `{@include [FrameColColumnsSelectionDsl.Grammar.ColumnSetName]}`| `{@include [ColGroupColumnsSelectionDsl.Grammar.ColumnSetName]}`)`**`(`**{@include [DslGrammarTemplate.IndexRef]}**`)`** * - * {@include [Indent]}`|` `(` - * {@include [ColsColumnsSelectionDsl.Grammar.ColumnSetName]} - * `|` {@include [ValueColsColumnsSelectionDsl.Grammar.ColumnSetName]} - * `|` {@include [FrameColsColumnsSelectionDsl.Grammar.ColumnSetName]} - * `|` {@include [ColGroupsColumnsSelectionDsl.Grammar.ColumnSetName]} - * `) [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}`| (`{@include [ColsColumnsSelectionDsl.Grammar.ColumnSetName]}`| `{@include [ValueColsColumnsSelectionDsl.Grammar.ColumnSetName]}`| `{@include [FrameColsColumnsSelectionDsl.Grammar.ColumnSetName]}`| `{@include [ColGroupsColumnsSelectionDsl.Grammar.ColumnSetName]}`) [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * - * {@include [Indent]}`|` {@include [ColsColumnsSelectionDsl.Grammar.ColumnSetName]}**`(`**{@include [DslGrammarTemplate.IndexRef]}**`,`**` .. | `{@include [DslGrammarTemplate.IndexRangeRef]}**`)`** + * {@include [Indent]}`| `{@include [ColsColumnsSelectionDsl.Grammar.ColumnSetName]}**`(`**{@include [DslGrammarTemplate.IndexRef]}**`,`**` .. | `{@include [DslGrammarTemplate.IndexRangeRef]}**`)`** * - * {@include [Indent]}`|` {@include [ColsAtAnyDepthColumnsSelectionDsl.Grammar.ColumnSetName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}`| `{@include [ColsAtAnyDepthColumnsSelectionDsl.Grammar.ColumnSetName]}` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * - * {@include [Indent]}`|` {@include [ColsInGroupsColumnsSelectionDsl.Grammar.ColumnSetName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}`| `{@include [ColsInGroupsColumnsSelectionDsl.Grammar.ColumnSetName]}` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * - * {@include [Indent]}`|` {@include [ColsOfColumnsSelectionDsl.Grammar.ColumnSetName]}**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**` [` **`(`**{@include [DslGrammarTemplate.KTypeRef]}**`)`** `] [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}`| `{@include [ColsOfColumnsSelectionDsl.Grammar.ColumnSetName]}**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**` [ `**`(`**{@include [DslGrammarTemplate.KTypeRef]}**`)`**` ] [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * - * {@include [Indent]}`|` {@include [ColsOfKindColumnsSelectionDsl.Grammar.ColumnSetName]}**`(`**{@include [DslGrammarTemplate.ColumnKindRef]}**`,`**` ..`**`)`**` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}`| `{@include [ColsOfKindColumnsSelectionDsl.Grammar.ColumnSetName]}**`(`**{@include [DslGrammarTemplate.ColumnKindRef]}**`,`**` ..`**`)`**` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * - * {@include [Indent]}`|` {@include [DistinctColumnsSelectionDsl.Grammar.ColumnSetName]}**`()`** + * {@include [Indent]}`| `{@include [DistinctColumnsSelectionDsl.Grammar.ColumnSetName]}**`()`** * - * {@include [Indent]}`|` {@include [DropColumnsSelectionDsl.Grammar.ColumnSetName]}**`(`**{@include [DslGrammarTemplate.NumberRef]}**`)`** + * {@include [Indent]}`| `{@include [DropColumnsSelectionDsl.Grammar.ColumnSetName]}**`(`**{@include [DslGrammarTemplate.NumberRef]}**`)`** * - * {@include [Indent]}`|` {@include [DropColumnsSelectionDsl.Grammar.ColumnSetWhileName]}**` { `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** + * {@include [Indent]}`| `{@include [DropColumnsSelectionDsl.Grammar.ColumnSetWhileName]}**` { `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** * - * {@include [Indent]}`|` {@include [AllExceptColumnsSelectionDsl.Grammar.ColumnSetName]} `[`**` { `**`]` {@include [DslGrammarTemplate.ColumnsResolverRef]} `[`**` \} `**`]` + * {@include [Indent]}`| `{@include [AllExceptColumnsSelectionDsl.Grammar.ColumnSetName]}` [`**` { `**`] `{@include [DslGrammarTemplate.ColumnsResolverRef]}` [`**` \} `**`]` * - * {@include [Indent]}`|` {@include [AllExceptColumnsSelectionDsl.Grammar.ColumnSetName]} {@include [DslGrammarTemplate.ColumnRef]} + * {@include [Indent]}`| `{@include [AllExceptColumnsSelectionDsl.Grammar.ColumnSetName]}` `{@include [DslGrammarTemplate.ColumnRef]} * - * {@include [Indent]}`|` .{@include [AllExceptColumnsSelectionDsl.Grammar.ColumnSetName]}**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`,`**` ..`**`)`** + * {@include [Indent]}`| `**`.`**{@include [AllExceptColumnsSelectionDsl.Grammar.ColumnSetName]}**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`,`**` ..`**`)`** * - * {@include [Indent]}`|` {@include [FilterColumnsSelectionDsl.Grammar.ColumnSetName]}**` {`** {@include [DslGrammarTemplate.ConditionRef]} **`\}`** + * {@include [Indent]}`| `{@include [FilterColumnsSelectionDsl.Grammar.ColumnSetName]}**` { `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** * - * {@include [Indent]}`|` `(` - * {@include [FirstColumnsSelectionDsl.Grammar.ColumnSetName]} - * `|` {@include [LastColumnsSelectionDsl.Grammar.ColumnSetName]} - * `|` {@include [SingleColumnsSelectionDsl.Grammar.ColumnSetName]} - * `) [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}`| (`{@include [FirstColumnsSelectionDsl.Grammar.ColumnSetName]}`| `{@include [LastColumnsSelectionDsl.Grammar.ColumnSetName]}`| `{@include [SingleColumnsSelectionDsl.Grammar.ColumnSetName]}`) [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * - * {@include [Indent]}`|` {@include [ColumnNameFiltersColumnsSelectionDsl.Grammar.ColumnSetNameStartsEndsWith]}**`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`,`** {@include [DslGrammarTemplate.IgnoreCaseRef]}`]`**`)`** + * {@include [Indent]}`| `{@include [ColumnNameFiltersColumnsSelectionDsl.Grammar.ColumnSetNameStartsEndsWith]}**` (`**{@include [DslGrammarTemplate.TextRef]}`[`**`, `**{@include [DslGrammarTemplate.IgnoreCaseRef]}`]`**`)`** * - * {@include [Indent]}`|` {@include [ColumnNameFiltersColumnsSelectionDsl.Grammar.ColumnSetNameContains]}**`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`,`** {@include [DslGrammarTemplate.IgnoreCaseRef]}`] | `{@include [DslGrammarTemplate.RegexRef]}**`)`** + * {@include [Indent]}`| `{@include [ColumnNameFiltersColumnsSelectionDsl.Grammar.ColumnSetNameContains]}**`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`, `**{@include [DslGrammarTemplate.IgnoreCaseRef]}`] | `{@include [DslGrammarTemplate.RegexRef]}**`)`** * - * {@include [Indent]}`|` {@include [SimplifyColumnsSelectionDsl.Grammar.ColumnSetName]}**`()`** + * {@include [Indent]}`| `{@include [SimplifyColumnsSelectionDsl.Grammar.ColumnSetName]}**`()`** * - * {@include [Indent]}`|` {@include [TakeColumnsSelectionDsl.Grammar.ColumnSetName]}**`(`**{@include [DslGrammarTemplate.NumberRef]}**`)`** + * {@include [Indent]}`| `{@include [TakeColumnsSelectionDsl.Grammar.ColumnSetName]}**`(`**{@include [DslGrammarTemplate.NumberRef]}**`)`** * - * {@include [Indent]}`|` {@include [TakeColumnsSelectionDsl.Grammar.ColumnSetWhileName]}**` { `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** + * {@include [Indent]}`| `{@include [TakeColumnsSelectionDsl.Grammar.ColumnSetWhileName]}**` { `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** * - * {@include [Indent]}`|` {@include [WithoutNullsColumnsSelectionDsl.Grammar.ColumnSetName]}**`()`** + * {@include [Indent]}`| `{@include [WithoutNullsColumnsSelectionDsl.Grammar.ColumnSetName]}**`()`** * } * {@comment ColumnGroup: -------------------------------------------------------------------------------------------- } * {@set [DslGrammarTemplate.ColumnGroupFunctionsArg] * - * {@include [Indent]}`|` [**`[`**][cols]{@include [DslGrammarTemplate.ColumnRef]}**`,`**` ..`[**`]`**][cols] + * {@include [Indent]}`| `[**`[`**][cols]{@include [DslGrammarTemplate.ColumnRef]}**`,`**` ..`[**`]`**][cols] * - * {@include [Indent]}`|` [**`[`**][cols]**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**[**`]`**][cols] + * {@include [Indent]}`| `[**`[`**][cols]**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**[**`]`**][cols] * - * {@include [Indent]}`|`[**` {`**][ColumnsSelectionDsl.select] {@include [DslGrammarTemplate.ColumnsSelectorRef]} [**`\}`**][ColumnsSelectionDsl.select] + * {@include [Indent]}`| `[**`{`**][ColumnsSelectionDsl.select]` `{@include [DslGrammarTemplate.ColumnsSelectorRef]}` `[**`\}`**][ColumnsSelectionDsl.select] * - * {@include [Indent]}`|` {@include [AllColumnsSelectionDsl.Grammar.ColumnGroupName]}**`()`** + * {@include [Indent]}`| `{@include [AllColumnsSelectionDsl.Grammar.ColumnGroupName]}**`()`** * - * {@include [Indent]}`|` .**`allCols`**`(`{@include [AllColumnsSelectionDsl.Grammar.Before]}`|`{@include [AllColumnsSelectionDsl.Grammar.After]}`|`{@include [AllColumnsSelectionDsl.Grammar.From]}`|`{@include [AllColumnsSelectionDsl.Grammar.UpTo]}`)` `(` **`(`**{@include [DslGrammarTemplate.ColumnRef]}**`)`** `|` **`{`** {@include [DslGrammarTemplate.ColumnSelectorRef]} **`\}`** `)` + * {@include [Indent]}`| `**`.allCols`**`(`{@include [AllColumnsSelectionDsl.Grammar.Before]}`|`{@include [AllColumnsSelectionDsl.Grammar.After]}`|`{@include [AllColumnsSelectionDsl.Grammar.From]}`|`{@include [AllColumnsSelectionDsl.Grammar.UpTo]}`) ( `**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`)`**` | `**`{ `**{@include [DslGrammarTemplate.ColumnSelectorRef]}**` \}`**` )` * - * {@include [Indent]}`|` {@include [AllExceptColumnsSelectionDsl.Grammar.ColumnGroupName]} **` { `**{@include [DslGrammarTemplate.ColumnsSelectorRef]}**` \} `** + * {@include [Indent]}`| `{@include [AllExceptColumnsSelectionDsl.Grammar.ColumnGroupName]}**` { `**{@include [DslGrammarTemplate.ColumnsSelectorRef]}**` \} `** * - * {@include [Indent]}`|` {@include [AllExceptColumnsSelectionDsl.Grammar.ColumnGroupName]}**`(`**{@include [DslGrammarTemplate.ColumnNoAccessorRef]}**`,`**` ..`**`)`** + * {@include [Indent]}`| `{@include [AllExceptColumnsSelectionDsl.Grammar.ColumnGroupName]}**`(`**{@include [DslGrammarTemplate.ColumnNoAccessorRef]}**`,`**` ..`**`)`** * - * {@include [Indent]}`|` {@include [AndColumnsSelectionDsl.Grammar.Name]} **`(`**`|`**`{ `**{@include [DslGrammarTemplate.ColumnOrColumnSetRef]}**` \}`**`|`**`)`** + * {@include [Indent]}`| `{@include [AndColumnsSelectionDsl.Grammar.Name]}**` (`**`|`**`{ `**{@include [DslGrammarTemplate.ColumnOrColumnSetRef]}**` \}`**`|`**`)`** * - * {@include [Indent]}`| (` - * {@include [ColColumnsSelectionDsl.Grammar.ColumnGroupName]} - * `|` {@include [ValueColColumnsSelectionDsl.Grammar.ColumnGroupName]} - * `|` {@include [FrameColColumnsSelectionDsl.Grammar.ColumnGroupName]} - * `|` {@include [ColGroupColumnsSelectionDsl.Grammar.ColumnGroupName]} - * `)[`**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**`]`**`(`**{@include [DslGrammarTemplate.ColumnRef]}` | `{@include [DslGrammarTemplate.IndexRef]}**`)`** + * {@include [Indent]}`| (`{@include [ColColumnsSelectionDsl.Grammar.ColumnGroupName]}`| `{@include [ValueColColumnsSelectionDsl.Grammar.ColumnGroupName]}`| `{@include [FrameColColumnsSelectionDsl.Grammar.ColumnGroupName]}`| `{@include [ColGroupColumnsSelectionDsl.Grammar.ColumnGroupName]}`)[`**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**`]`**`(`**{@include [DslGrammarTemplate.ColumnRef]}` | `{@include [DslGrammarTemplate.IndexRef]}**`)`** * - * {@include [Indent]}`|` `(` - * {@include [ColsColumnsSelectionDsl.Grammar.ColumnGroupName]} - * `|` {@include [ValueColsColumnsSelectionDsl.Grammar.ColumnGroupName]} - * `|` {@include [FrameColsColumnsSelectionDsl.Grammar.ColumnGroupName]} - * `|` {@include [ColGroupsColumnsSelectionDsl.Grammar.ColumnGroupName]} - * `) [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}`| (`{@include [ColsColumnsSelectionDsl.Grammar.ColumnGroupName]}`| `{@include [ValueColsColumnsSelectionDsl.Grammar.ColumnGroupName]}`| `{@include [FrameColsColumnsSelectionDsl.Grammar.ColumnGroupName]}`| `{@include [ColGroupsColumnsSelectionDsl.Grammar.ColumnGroupName]}`) [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * - * {@include [Indent]}`|` {@include [ColsColumnsSelectionDsl.Grammar.ColumnGroupName]}`[`**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**`]`**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`,`**` .. | `{@include [DslGrammarTemplate.IndexRef]}**`,`**` .. | `{@include [DslGrammarTemplate.IndexRangeRef]}**`)`** + * {@include [Indent]}`| `{@include [ColsColumnsSelectionDsl.Grammar.ColumnGroupName]}`[`**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**`]`**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`,`**` .. | `{@include [DslGrammarTemplate.IndexRef]}**`,`**` .. | `{@include [DslGrammarTemplate.IndexRangeRef]}**`)`** * - * {@include [Indent]}`|` {@include [ColsAtAnyDepthColumnsSelectionDsl.Grammar.ColumnGroupName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}`| `{@include [ColsAtAnyDepthColumnsSelectionDsl.Grammar.ColumnGroupName]}` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * - * {@include [Indent]}`|` {@include [ColsInGroupsColumnsSelectionDsl.Grammar.ColumnGroupName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}`| `{@include [ColsInGroupsColumnsSelectionDsl.Grammar.ColumnGroupName]}` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * - * {@include [Indent]}`|` {@include [ColumnNameFiltersColumnsSelectionDsl.Grammar.ColumnGroupNameStartsWith]}**`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`,`** {@include [DslGrammarTemplate.IgnoreCaseRef]}`]`**`)`** + * {@include [Indent]}`| `{@include [ColumnNameFiltersColumnsSelectionDsl.Grammar.ColumnGroupNameStartsWith]}**`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`, `**{@include [DslGrammarTemplate.IgnoreCaseRef]}`]`**`)`** * - * {@include [Indent]}`|` {@include [ColumnNameFiltersColumnsSelectionDsl.Grammar.ColumnGroupNameContains]}**`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`,`** {@include [DslGrammarTemplate.IgnoreCaseRef]}`] | `{@include [DslGrammarTemplate.RegexRef]}**`)`** + * {@include [Indent]}`| `{@include [ColumnNameFiltersColumnsSelectionDsl.Grammar.ColumnGroupNameContains]}**`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`, `**{@include [DslGrammarTemplate.IgnoreCaseRef]}`] | `{@include [DslGrammarTemplate.RegexRef]}**`)`** * - * {@include [Indent]}`|` {@include [ColsOfKindColumnsSelectionDsl.Grammar.ColumnGroupName]}**`(`**{@include [DslGrammarTemplate.ColumnKindRef]}**`,`**` ..`**`)`**` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}`| `{@include [ColsOfKindColumnsSelectionDsl.Grammar.ColumnGroupName]}**`(`**{@include [DslGrammarTemplate.ColumnKindRef]}**`,`**` ..`**`)`**` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * - * {@include [Indent]}`|` {@include [WithoutNullsColumnsSelectionDsl.Grammar.ColumnGroupName]}**`()`** + * {@include [Indent]}`| `{@include [WithoutNullsColumnsSelectionDsl.Grammar.ColumnGroupName]}**`()`** * - * {@include [Indent]}`|` {@include [DropColumnsSelectionDsl.Grammar.ColumnGroupName]}**`(`**{@include [DslGrammarTemplate.NumberRef]}**`)`** + * {@include [Indent]}`| `{@include [DropColumnsSelectionDsl.Grammar.ColumnGroupName]}**`(`**{@include [DslGrammarTemplate.NumberRef]}**`)`** * - * {@include [Indent]}`|` {@include [DropColumnsSelectionDsl.Grammar.ColumnGroupWhileName]}**` { `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** + * {@include [Indent]}`| `{@include [DropColumnsSelectionDsl.Grammar.ColumnGroupWhileName]}**` { `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** * - * {@include [Indent]}`|` {@include [AllExceptColumnsSelectionDsl.Grammar.ColumnGroupExperimentalName]} **` { `**{@include [DslGrammarTemplate.ColumnsSelectorRef]}**` \} EXPERIMENTAL!`** + * {@include [Indent]}`| `{@include [AllExceptColumnsSelectionDsl.Grammar.ColumnGroupExperimentalName]}**` { `**{@include [DslGrammarTemplate.ColumnsSelectorRef]}**` \} EXPERIMENTAL!`** * - * {@include [Indent]}`|` {@include [AllExceptColumnsSelectionDsl.Grammar.ColumnGroupExperimentalName]}**`(`**{@include [DslGrammarTemplate.ColumnNoAccessorRef]}**`,`**` ..`**`) EXPERIMENTAL!`** + * {@include [Indent]}`| `{@include [AllExceptColumnsSelectionDsl.Grammar.ColumnGroupExperimentalName]}**`(`**{@include [DslGrammarTemplate.ColumnNoAccessorRef]}**`,`**` ..`**`) EXPERIMENTAL!`** * - * {@include [Indent]}`|` `(` - * {@include [FirstColumnsSelectionDsl.Grammar.ColumnGroupName]} - * `|` {@include [LastColumnsSelectionDsl.Grammar.ColumnGroupName]} - * `|` {@include [SingleColumnsSelectionDsl.Grammar.ColumnGroupName]} - * `) [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}`| (`{@include [FirstColumnsSelectionDsl.Grammar.ColumnGroupName]}`| `{@include [LastColumnsSelectionDsl.Grammar.ColumnGroupName]}`| `{@include [SingleColumnsSelectionDsl.Grammar.ColumnGroupName]}`) [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * - * {@include [Indent]}`|` {@include [SelectColumnsSelectionDsl.Grammar.ColumnGroupName]}**` {`** {@include [DslGrammarTemplate.ColumnsSelectorRef]} **`\}`** + * {@include [Indent]}`| `{@include [SelectColumnsSelectionDsl.Grammar.ColumnGroupName]}**` { `**{@include [DslGrammarTemplate.ColumnsSelectorRef]}**` \}`** * - * {@include [Indent]}`|` {@include [TakeColumnsSelectionDsl.Grammar.ColumnGroupName]}**`(`**{@include [DslGrammarTemplate.NumberRef]}**`)`** + * {@include [Indent]}`| `{@include [TakeColumnsSelectionDsl.Grammar.ColumnGroupName]}**`(`**{@include [DslGrammarTemplate.NumberRef]}**`)`** * - * {@include [Indent]}`|` {@include [TakeColumnsSelectionDsl.Grammar.ColumnGroupWhileName]}**` { `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** + * {@include [Indent]}`| `{@include [TakeColumnsSelectionDsl.Grammar.ColumnGroupWhileName]}**` { `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** * * {@include [LineBreak]} * * {@include [DslGrammarTemplate.SingleColumnRef]} * - * {@include [Indent]}{@include [ColsOfColumnsSelectionDsl.Grammar.ColumnGroupName]}**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**` [` **`(`**{@include [DslGrammarTemplate.KTypeRef]}**`)`** `] [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}{@include [ColsOfColumnsSelectionDsl.Grammar.ColumnGroupName]}**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**` [ `**`(`**{@include [DslGrammarTemplate.KTypeRef]}**`)`**` ] [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * * {@include [LineBreak]} * * {@include [DslGrammarTemplate.ColumnGroupNoSingleColumnRef]} * - * {@include [Indent]}{@include [ColsOfColumnsSelectionDsl.Grammar.ColumnGroupName]}**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>(`**{@include [DslGrammarTemplate.KTypeRef]}**`)`** ` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}{@include [ColsOfColumnsSelectionDsl.Grammar.ColumnGroupName]}**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>(`**{@include [DslGrammarTemplate.KTypeRef]}**`)`**` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * } */ public interface DslGrammar @@ -480,9 +438,9 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * * `df.`[select][DataFrame.select]` { "pathTo"["myColGroup"] `[{][ColumnPath.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[}][ColumnPath.select]` }` * - * `df.`[select][DataFrame.select]` { `[pathOf][pathOf]`("pathTo", "myColGroup").`[select][ColumnPath.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][DataFrame.select]` { `[pathOf][pathOf]`("pathTo", "myColGroup").`[select][ColumnPath.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` * - * `df.`[select][DataFrame.select]` { `[pathOf][pathOf]`("pathTo", "myColGroup")`[() {][ColumnPath.select]` someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() `[}][ColumnPath.select]` }` + * `df.`[select][DataFrame.select]` { `[pathOf][pathOf]`("pathTo", "myColGroup")`[() {][ColumnPath.select]` someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() `[}][ColumnPath.select]` }` */ public operator fun ColumnPath.invoke(selector: ColumnsSelector<*, R>): ColumnSet = select(selector) diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/all.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/all.kt index cccdc1588..786501305 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/all.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/all.kt @@ -34,6 +34,7 @@ import org.jetbrains.kotlinx.dataframe.columns.size import org.jetbrains.kotlinx.dataframe.columns.values import org.jetbrains.kotlinx.dataframe.documentation.AccessApiLink import org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate +import org.jetbrains.kotlinx.dataframe.documentation.ExcludeFromSources import org.jetbrains.kotlinx.dataframe.documentation.Indent import org.jetbrains.kotlinx.dataframe.documentation.LineBreak import org.jetbrains.kotlinx.dataframe.impl.columns.TransformableColumnSet @@ -109,19 +110,19 @@ public interface AllColumnsSelectionDsl { * {@set [DslGrammarTemplate.PlainDslFunctionsArg] * {@include [PlainDslName]}**`()`** * - * `|` **`all`**`(`{@include [Before]}`|`{@include [After]}`|`{@include [From]}`|`{@include [UpTo]}`)` `(` **`(`**{@include [DslGrammarTemplate.ColumnRef]}**`)`** `|` **`{`** {@include [DslGrammarTemplate.ColumnSelectorRef]} **`\}`** `)` + * `| `**`all`**`(`{@include [Before]}`|`{@include [After]}`|`{@include [From]}`|`{@include [UpTo]}`) ( `**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`)`**` | `**`{ `**{@include [DslGrammarTemplate.ColumnSelectorRef]}**` \}`**` )` * } * * {@set [DslGrammarTemplate.ColumnSetFunctionsArg] * {@include [Indent]}{@include [ColumnSetName]}**`()`** * - * {@include [Indent]}`|` .**`all`**`(`{@include [Before]}`|`{@include [After]}`|`{@include [From]}`|`{@include [UpTo]}`)` `(` **`(`**{@include [DslGrammarTemplate.ColumnRef]}**`)`** `|` **`{`** {@include [DslGrammarTemplate.ConditionRef]} **`\}`** `)` + * {@include [Indent]}`| .`**`all`**`(`{@include [Before]}`|`{@include [After]}`|`{@include [From]}`|`{@include [UpTo]}`) ( `**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`)`**` | `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` )` * } * * {@set [DslGrammarTemplate.ColumnGroupFunctionsArg] * {@include [Indent]}{@include [ColumnGroupName]}**`()`** * - * {@include [Indent]}`|` .**`allCols`**`(`{@include [Before]}`|`{@include [After]}`|`{@include [From]}`|`{@include [UpTo]}`)` `(` **`(`**{@include [DslGrammarTemplate.ColumnRef]}**`)`** `|` **`{`** {@include [DslGrammarTemplate.ColumnSelectorRef]} **`\}`** `)` + * {@include [Indent]}`| .`**`allCols`**`(`{@include [Before]}`|`{@include [After]}`|`{@include [From]}`|`{@include [UpTo]}`) ( `**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`)`**` | `**`{ `**{@include [DslGrammarTemplate.ColumnSelectorRef]}**` \}`**` )` * } */ public interface Grammar { @@ -129,10 +130,10 @@ public interface AllColumnsSelectionDsl { /** [**all**][ColumnsSelectionDsl.all] */ public interface PlainDslName - /** .[**all**][ColumnsSelectionDsl.all] */ + /** \**`.`**[**all**][ColumnsSelectionDsl.all] */ public interface ColumnSetName - /** .[**allCols**][ColumnsSelectionDsl.allCols] */ + /** \**`.`**[**allCols**][ColumnsSelectionDsl.allCols] */ public interface ColumnGroupName /** [**Before**][ColumnsSelectionDsl.allColsBefore] */ @@ -166,6 +167,7 @@ public interface AllColumnsSelectionDsl { * - [all(Cols)UpTo][ColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column */ + @ExcludeFromSources private interface AllFlavors /** @@ -207,6 +209,7 @@ public interface AllColumnsSelectionDsl { * @see [all\] * @see [cols\] */ + @ExcludeFromSources private interface CommonAllSubsetDocs { /* The title of the function, a.k.a. "All (Cols) After" */ @@ -268,6 +271,7 @@ public interface AllColumnsSelectionDsl { * @see [ColumnsSelectionDsl.allExcept\] * @see [ColumnsSelectionDsl.cols\] */ + @ExcludeFromSources private interface CommonAllDocs { /** Example argument */ @@ -353,6 +357,7 @@ public interface AllColumnsSelectionDsl { * * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[allAfter][ColumnSet.allAfter]`{@get [ColumnSetAllAfterDocs.Arg]} }` */ + @ExcludeFromSources private interface ColumnSetAllAfterDocs { /** Example argument to use */ @@ -387,6 +392,7 @@ public interface AllColumnsSelectionDsl { * * `df.`[select][DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`{@get [ColumnsSelectionDslAllAfterDocs.Arg]} }` */ + @ExcludeFromSources private interface ColumnsSelectionDslAllAfterDocs { /** Example argument to use */ @@ -419,6 +425,7 @@ public interface AllColumnsSelectionDsl { * * `df.`[select][DataFrame.select]` { someColumnGroup.`[allColsAfter][SingleColumn.allColsAfter]`{@get [SingleColumnAllAfterDocs.Arg]} }` */ + @ExcludeFromSources private interface SingleColumnAllAfterDocs { /** Example argument to use */ @@ -464,6 +471,7 @@ public interface AllColumnsSelectionDsl { * * `df.`[select][DataFrame.select]` { "someColGroup".`[allColsAfter][String.allColsAfter]`{@get [StringAllAfterDocs.Arg]} }` */ + @ExcludeFromSources private interface StringAllAfterDocs { /** Example argument to use */ @@ -501,6 +509,7 @@ public interface AllColumnsSelectionDsl { * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). */ + @ExcludeFromSources private interface KPropertyAllAfterDocs { /** Example argument to use */ @@ -546,6 +555,7 @@ public interface AllColumnsSelectionDsl { * * `df.`[select][DataFrame.select]` { "pathTo"["someColGroup"].`[allColsAfter][ColumnPath.allColsAfter]`{@get [ColumnPathAllAfterDocs.Arg]} }` */ + @ExcludeFromSources private interface ColumnPathAllAfterDocs { /** Example argument to use */ @@ -594,6 +604,7 @@ public interface AllColumnsSelectionDsl { * * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[allFrom][ColumnSet.allFrom]`{@get [ColumnSetAllFromDocs.Arg]} }` */ + @ExcludeFromSources private interface ColumnSetAllFromDocs { /** Example argument to use */ @@ -628,6 +639,7 @@ public interface AllColumnsSelectionDsl { * * `df.`[select][DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`{@get [ColumnsSelectionDslAllFromDocs.Arg]} }` */ + @ExcludeFromSources private interface ColumnsSelectionDslAllFromDocs { /** Example argument to use */ @@ -660,6 +672,7 @@ public interface AllColumnsSelectionDsl { * * `df.`[select][DataFrame.select]` { someColumnGroup.`[allColsFrom][SingleColumn.allColsFrom]`{@get [SingleColumnAllFromDocs.Arg]} }` */ + @ExcludeFromSources private interface SingleColumnAllFromDocs { /** Example argument to use */ @@ -705,6 +718,7 @@ public interface AllColumnsSelectionDsl { * * `df.`[select][DataFrame.select]` { "someColGroup".`[allColsFrom][String.allColsFrom]`{@get [StringAllFromDocs.Arg]} }` */ + @ExcludeFromSources private interface StringAllFromDocs { /** Example argument to use */ @@ -742,6 +756,7 @@ public interface AllColumnsSelectionDsl { * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). */ + @ExcludeFromSources private interface KPropertyAllFromDocs { /** Example argument to use */ @@ -787,6 +802,7 @@ public interface AllColumnsSelectionDsl { * * `df.`[select][DataFrame.select]` { "pathTo"["someColGroup"].`[allFrom][ColumnPath.allColsFrom]`{@get [ColumnPathAllFromDocs.Arg]} }` */ + @ExcludeFromSources private interface ColumnPathAllFromDocs { /** Example argument to use */ @@ -835,6 +851,7 @@ public interface AllColumnsSelectionDsl { * * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[allBefore][ColumnSet.allBefore]`{@get [ColumnSetAllBeforeDocs.Arg]} }` */ + @ExcludeFromSources private interface ColumnSetAllBeforeDocs { /** Example argument to use */ @@ -869,6 +886,7 @@ public interface AllColumnsSelectionDsl { * * `df.`[select][DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`{@get [ColumnsSelectionDslAllBeforeDocs.Arg]} }` */ + @ExcludeFromSources private interface ColumnsSelectionDslAllBeforeDocs { /** Example argument to use */ @@ -901,6 +919,7 @@ public interface AllColumnsSelectionDsl { * * `df.`[select][DataFrame.select]` { someColumnGroup.`[allColsBefore][SingleColumn.allColsBefore]`{@get [SingleColumnAllBeforeDocs.Arg]} }` */ + @ExcludeFromSources private interface SingleColumnAllBeforeDocs { /** Example argument to use */ @@ -943,6 +962,7 @@ public interface AllColumnsSelectionDsl { * * `df.`[select][DataFrame.select]` { "someColGroup".`[allColsBefore][String.allColsBefore]`{@get [StringAllBeforeDocs.Arg]} }` */ + @ExcludeFromSources private interface StringAllBeforeDocs { /** Example argument to use */ @@ -980,6 +1000,7 @@ public interface AllColumnsSelectionDsl { * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). */ + @ExcludeFromSources private interface KPropertyAllBeforeDocs { /** Example argument to use */ @@ -1025,6 +1046,7 @@ public interface AllColumnsSelectionDsl { * * `df.`[select][DataFrame.select]` { "pathTo"["someColGroup"].`[allColsBefore][ColumnPath.allColsBefore]`{@get [ColumnPathAllBeforeDocs.Arg]} }` */ + @ExcludeFromSources private interface ColumnPathAllBeforeDocs { /** Example argument to use */ @@ -1073,6 +1095,7 @@ public interface AllColumnsSelectionDsl { * * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[allUpTo][ColumnSet.allUpTo]`{@get [ColumnSetAllUpToDocs.Arg]} }` */ + @ExcludeFromSources private interface ColumnSetAllUpToDocs { /** Example argument to use */ @@ -1107,6 +1130,7 @@ public interface AllColumnsSelectionDsl { * * `df.`[select][DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allColsUpTo]`{@get [ColumnsSelectionDslAllUpToDocs.Arg]} }` */ + @ExcludeFromSources private interface ColumnsSelectionDslAllUpToDocs { /** Example argument to use */ @@ -1139,6 +1163,7 @@ public interface AllColumnsSelectionDsl { * * `df.`[select][DataFrame.select]` { someColumnGroup.`[allColsUpTo][SingleColumn.allColsUpTo]`{@get [SingleColumnAllUpToDocs.Arg]} }` */ + @ExcludeFromSources private interface SingleColumnAllUpToDocs { /** Example argument to use */ @@ -1184,6 +1209,7 @@ public interface AllColumnsSelectionDsl { * * `df.`[select][DataFrame.select]` { "someColGroup".`[allColsUpTo][String.allColsUpTo]`{@get [StringAllUpToDocs.Arg]} }` */ + @ExcludeFromSources private interface StringAllUpToDocs { /** Example argument to use */ @@ -1221,6 +1247,7 @@ public interface AllColumnsSelectionDsl { * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler * ([KT-64092](https://youtrack.jetbrains.com/issue/KT-64092/OVERLOADRESOLUTIONAMBIGUITY-caused-by-lambda-argument)). */ + @ExcludeFromSources private interface KPropertyAllUpToDocs { /** Example argument to use */ @@ -1266,6 +1293,7 @@ public interface AllColumnsSelectionDsl { * * `df.`[select][DataFrame.select]` { "pathTo"["someColGroup"].`[allColsUpTo][ColumnPath.allColsUpTo]`{@get [ColumnPathAllUpToDocs.Arg]} }` */ + @ExcludeFromSources private interface ColumnPathAllUpToDocs { /** Example argument to use */ diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/allExcept.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/allExcept.kt index 578b41095..f239d9575 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/allExcept.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/allExcept.kt @@ -93,7 +93,7 @@ public interface AllExceptColumnsSelectionDsl { /** [**except**][ColumnsSelectionDsl.except] */ public interface ColumnSetName - /** .[**allColsExcept**][ColumnsSelectionDsl.allColsExcept] */ + /** \**`.`**[**allColsExcept**][ColumnsSelectionDsl.allColsExcept] */ public interface ColumnGroupName /** [**exceptNew**][ColumnsSelectionDsl.exceptNew] */ diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt index f51ef3d9c..51fa007cb 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt @@ -60,7 +60,7 @@ public interface AndColumnsSelectionDsl { /** [**and**][ColumnsSelectionDsl.and] */ public interface InfixName - /** .[**and**][ColumnsSelectionDsl.and] */ + /** \**`.`**[**and**][ColumnsSelectionDsl.and] */ public interface Name } diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/col.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/col.kt index d351035c2..0ccb3662e 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/col.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/col.kt @@ -67,10 +67,10 @@ public interface ColColumnsSelectionDsl { /** [**col**][ColumnsSelectionDsl.col] */ public interface PlainDslName - /** .[**col**][ColumnsSelectionDsl.col] */ + /** \**`.`**[**col**][ColumnsSelectionDsl.col] */ public interface ColumnSetName - /** .[**col**][ColumnsSelectionDsl.col] */ + /** \**`.`**[**col**][ColumnsSelectionDsl.col] */ public interface ColumnGroupName } diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroup.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroup.kt index ef8fa716a..120ece339 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroup.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroup.kt @@ -68,10 +68,10 @@ public interface ColGroupColumnsSelectionDsl { /** [**colGroup**][ColumnsSelectionDsl.colGroup] */ public interface PlainDslName - /** .[**colGroup**][ColumnsSelectionDsl.colGroup] */ + /** \**`.`**[**colGroup**][ColumnsSelectionDsl.colGroup] */ public interface ColumnSetName - /** .[**colGroup**][ColumnsSelectionDsl.colGroup] */ + /** \**`.`**[**colGroup**][ColumnsSelectionDsl.colGroup] */ public interface ColumnGroupName } diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroups.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroups.kt index 7cf8989df..5d33a484d 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroups.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroups.kt @@ -61,10 +61,10 @@ public interface ColGroupsColumnsSelectionDsl { /** [**colGroups**][ColumnsSelectionDsl.colGroups] */ public interface PlainDslName - /** .[**colGroups**][ColumnsSelectionDsl.colGroups] */ + /** \**`.`**[**colGroups**][ColumnsSelectionDsl.colGroups] */ public interface ColumnSetName - /** .[**colGroups**][ColumnsSelectionDsl.colGroups] */ + /** \**`.`**[**colGroups**][ColumnsSelectionDsl.colGroups] */ public interface ColumnGroupName } diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/cols.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/cols.kt index bf5350fa9..92b7e8895 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/cols.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/cols.kt @@ -87,10 +87,10 @@ public interface ColsColumnsSelectionDsl { /** [**cols**][ColumnsSelectionDsl.cols] */ public interface PlainDslName - /** .[**cols**][ColumnsSelectionDsl.cols] */ + /** \**`.`**[**cols**][ColumnsSelectionDsl.cols] */ public interface ColumnSetName - /** .[**cols**][ColumnsSelectionDsl.cols] */ + /** \**`.`**[**cols**][ColumnsSelectionDsl.cols] */ public interface ColumnGroupName } diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsAtAnyDepth.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsAtAnyDepth.kt index ea8a0baff..bec3b53ab 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsAtAnyDepth.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsAtAnyDepth.kt @@ -65,10 +65,10 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { /** [**colsAtAnyDepth**][ColumnsSelectionDsl.colsAtAnyDepth] */ public interface PlainDslName - /** .[**colsAtAnyDepth**][ColumnsSelectionDsl.colsAtAnyDepth] */ + /** \**`.`**[**colsAtAnyDepth**][ColumnsSelectionDsl.colsAtAnyDepth] */ public interface ColumnSetName - /** .[**colsAtAnyDepth**][ColumnsSelectionDsl.colsAtAnyDepth] */ + /** \**`.`**[**colsAtAnyDepth**][ColumnsSelectionDsl.colsAtAnyDepth] */ public interface ColumnGroupName } diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsInGroups.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsInGroups.kt index fcc0234ce..6b2bf6da4 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsInGroups.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsInGroups.kt @@ -45,7 +45,7 @@ public interface ColsInGroupsColumnsSelectionDsl { * } * * {@set [DslGrammarTemplate.PlainDslFunctionsArg] - * {@include [PlainDslName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `] + * {@include [PlainDslName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` * } * * {@set [DslGrammarTemplate.ColumnSetFunctionsArg] @@ -61,10 +61,10 @@ public interface ColsInGroupsColumnsSelectionDsl { /** [**colsInGroups**][ColumnsSelectionDsl.colsInGroups] */ public interface PlainDslName - /** .[**colsInGroups**][ColumnsSelectionDsl.colsInGroups] */ + /** \**`.`**[**colsInGroups**][ColumnsSelectionDsl.colsInGroups] */ public interface ColumnSetName - /** .[**colsInGroups**][ColumnsSelectionDsl.colsInGroups] */ + /** \**`.`**[**colsInGroups**][ColumnsSelectionDsl.colsInGroups] */ public interface ColumnGroupName } diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOf.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOf.kt index c3c3b713d..fddb07cf0 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOf.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOf.kt @@ -82,10 +82,10 @@ public interface ColsOfColumnsSelectionDsl { /** [**colsOf**][ColumnsSelectionDsl.colsOf] */ public interface PlainDslName - /** .[**colsOf**][ColumnsSelectionDsl.colsOf] */ + /** \**`.`**[**colsOf**][ColumnsSelectionDsl.colsOf] */ public interface ColumnSetName - /** .[**colsOf**][ColumnsSelectionDsl.colsOf] */ + /** \**`.`**[**colsOf**][ColumnsSelectionDsl.colsOf] */ public interface ColumnGroupName } diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOfKind.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOfKind.kt index d9a95b3c0..fd74cc9da 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOfKind.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOfKind.kt @@ -60,10 +60,10 @@ public interface ColsOfKindColumnsSelectionDsl { /** [**colsOfKind**][ColumnsSelectionDsl.colGroups] */ public interface PlainDslName - /** .[**colsOfKind**][ColumnsSelectionDsl.colGroups] */ + /** \**`.`**[**colsOfKind**][ColumnsSelectionDsl.colGroups] */ public interface ColumnSetName - /** .[**colsOfKind**][ColumnsSelectionDsl.colGroups] */ + /** \**`.`**[**colsOfKind**][ColumnsSelectionDsl.colGroups] */ public interface ColumnGroupName } diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnNameFilters.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnNameFilters.kt index 88300c951..c1f3b4d69 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnNameFilters.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnNameFilters.kt @@ -41,19 +41,19 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * {@set [DslGrammarTemplate.PlainDslFunctionsArg] * {@include [PlainDslNameContains]}**`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`,`** {@include [DslGrammarTemplate.IgnoreCaseRef]}`] | `{@include [DslGrammarTemplate.RegexRef]}**`)`** * - * `|` {@include [PlainDslNameStartsEndsWith]}**`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`,`** {@include [DslGrammarTemplate.IgnoreCaseRef]}`]`**`)`** + * `|` {@include [PlainDslNameStartsEndsWith]} **`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`,`** {@include [DslGrammarTemplate.IgnoreCaseRef]}`]`**`)`** * } * * {@set [DslGrammarTemplate.ColumnSetFunctionsArg] * {@include [Indent]}{@include [ColumnSetNameContains]}**`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`,`** {@include [DslGrammarTemplate.IgnoreCaseRef]}`] | `{@include [DslGrammarTemplate.RegexRef]}**`)`** * - * {@include [Indent]}`|` {@include [ColumnSetNameStartsEndsWith]}**`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`,`** {@include [DslGrammarTemplate.IgnoreCaseRef]}`]`**`)`** + * {@include [Indent]}`|` {@include [ColumnSetNameStartsEndsWith]} **`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`,`** {@include [DslGrammarTemplate.IgnoreCaseRef]}`]`**`)`** * } * * {@set [DslGrammarTemplate.ColumnGroupFunctionsArg] * {@include [Indent]}{@include [ColumnGroupNameContains]}**`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`,`** {@include [DslGrammarTemplate.IgnoreCaseRef]}`] | `{@include [DslGrammarTemplate.RegexRef]}**`)`** * - * {@include [Indent]}`|` {@include [ColumnGroupNameStartsWith]}**`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`,`** {@include [DslGrammarTemplate.IgnoreCaseRef]}`]`**`)`** + * {@include [Indent]}`|` {@include [ColumnGroupNameStartsWith]} **`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`,`** {@include [DslGrammarTemplate.IgnoreCaseRef]}`]`**`)`** * } */ public interface Grammar { @@ -61,20 +61,19 @@ public interface ColumnNameFiltersColumnsSelectionDsl { /** [**nameContains**][ColumnsSelectionDsl.nameContains] */ public interface PlainDslNameContains - /** {@comment newline because of rendering issue.} - * **name**`(`[**Starts**][ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][ColumnsSelectionDsl.nameEndsWith]`)`**`With`** */ + /** \**`name`**`(`[**Starts**][ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][ColumnsSelectionDsl.nameEndsWith]`)`**`With`** */ public interface PlainDslNameStartsEndsWith - /** .[**nameContains**][ColumnsSelectionDsl.nameContains] */ + /** \**`.`**[**nameContains**][ColumnsSelectionDsl.nameContains] */ public interface ColumnSetNameContains - /** .**name**`(`[**Starts**][ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][ColumnsSelectionDsl.nameEndsWith]`)`**`With`** */ + /** \**`.name`**`(`[**Starts**][ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][ColumnsSelectionDsl.nameEndsWith]`)`**`With`** */ public interface ColumnSetNameStartsEndsWith - /** .[**colsNameContains**][ColumnsSelectionDsl.colsNameContains] */ + /** \**`.`**[**colsNameContains**][ColumnsSelectionDsl.colsNameContains] */ public interface ColumnGroupNameContains - /** .**colsName**`(`[**Starts**][ColumnsSelectionDsl.colsNameStartsWith]`|`[**Ends**][ColumnsSelectionDsl.colsNameEndsWith]`)`**`With`** */ + /** \**`.colsName`**`(`[**Starts**][ColumnsSelectionDsl.colsNameStartsWith]`|`[**Ends**][ColumnsSelectionDsl.colsNameEndsWith]`)`**`With`** */ public interface ColumnGroupNameStartsWith } diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnRange.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnRange.kt index dcfb33217..da7d75292 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnRange.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnRange.kt @@ -7,6 +7,7 @@ import org.jetbrains.kotlinx.dataframe.columns.ColumnReference import org.jetbrains.kotlinx.dataframe.columns.ColumnSet import org.jetbrains.kotlinx.dataframe.documentation.AccessApiLink import org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate +import org.jetbrains.kotlinx.dataframe.documentation.ExcludeFromSources import org.jetbrains.kotlinx.dataframe.impl.columns.addPath import org.jetbrains.kotlinx.dataframe.impl.columns.createColumnSet import kotlin.reflect.KProperty @@ -29,7 +30,7 @@ public interface ColumnRangeColumnsSelectionDsl { * } * * {@set [DslGrammarTemplate.PlainDslFunctionsArg] - * {@include [DslGrammarTemplate.ColumnRef]} {@include [Grammar.PlainDslName]} {@include [DslGrammarTemplate.ColumnRef]} + * {@include [DslGrammarTemplate.ColumnRef]}` `{@include [Grammar.PlainDslName]}` `{@include [DslGrammarTemplate.ColumnRef]} * } * {@set [DslGrammarTemplate.ColumnSetPart]} * {@set [DslGrammarTemplate.ColumnGroupPart]} @@ -44,7 +45,7 @@ public interface ColumnRangeColumnsSelectionDsl { * ## Range of Columns * Creates a [ColumnSet] containing all columns from [this\] up to (and including) [endInclusive\]. * - * Columns inside of column groups are also supported (as long as they share the same direct parent), + * Columns inside column groups are also supported (as long as they share the same direct parent), * as well as any combination of {@include [AccessApiLink]}. * * ### Check out: [Grammar] @@ -63,6 +64,7 @@ public interface ColumnRangeColumnsSelectionDsl { * @see [ColumnsSelectionDsl.allFrom\] * @see [ColumnsSelectionDsl.allUpTo\] */ + @ExcludeFromSources private interface CommonRangeOfColumnsDocs { /** Examples key */ @@ -71,63 +73,63 @@ public interface ColumnRangeColumnsSelectionDsl { /** * @include [CommonRangeOfColumnsDocs] - * {@set [CommonRangeOfColumnsDocs.Example] "fromColumn"[`..`][String.rangeTo]"toColumn"} + * {@set [CommonRangeOfColumnsDocs.Example] \ `"fromColumn"`[`..`][String.rangeTo]`"toColumn"`\ } */ public operator fun String.rangeTo(endInclusive: String): ColumnSet<*> = toColumnAccessor().rangeTo(endInclusive.toColumnAccessor()) /** * @include [CommonRangeOfColumnsDocs] - * {@set [CommonRangeOfColumnsDocs.Example] "fromColumn"[`..`][String.rangeTo]Type::toColumn} + * {@set [CommonRangeOfColumnsDocs.Example] \ `"fromColumn"`[`..`][String.rangeTo]`Type::toColumn`\ } */ public operator fun String.rangeTo(endInclusive: KProperty<*>): ColumnSet<*> = toColumnAccessor().rangeTo(endInclusive.toColumnAccessor()) /** * @include [CommonRangeOfColumnsDocs] - * {@set [CommonRangeOfColumnsDocs.Example] "fromColumn"[`..`][String.rangeTo]toColumn} + * {@set [CommonRangeOfColumnsDocs.Example] \ `"fromColumn"`[`..`][String.rangeTo]`toColumn`\ } */ public operator fun String.rangeTo(endInclusive: AnyColumnReference): ColumnSet<*> = toColumnAccessor().rangeTo(endInclusive) /** * @include [CommonRangeOfColumnsDocs] - * {@set [CommonRangeOfColumnsDocs.Example] Type::fromColumn[`..`][KProperty.rangeTo]"toColumn"} + * {@set [CommonRangeOfColumnsDocs.Example] \ `Type::fromColumn`[`..`][KProperty.rangeTo]`"toColumn"`\ } */ public operator fun KProperty<*>.rangeTo(endInclusive: String): ColumnSet<*> = toColumnAccessor().rangeTo(endInclusive.toColumnAccessor()) /** * @include [CommonRangeOfColumnsDocs] - * {@set [CommonRangeOfColumnsDocs.Example] Type::fromColumn[`..`][KProperty.rangeTo]Type::toColumn} + * {@set [CommonRangeOfColumnsDocs.Example] \ `Type::fromColumn`[`..`][KProperty.rangeTo]`Type::toColumn`\ } */ public operator fun KProperty<*>.rangeTo(endInclusive: KProperty<*>): ColumnSet<*> = toColumnAccessor().rangeTo(endInclusive.toColumnAccessor()) /** * @include [CommonRangeOfColumnsDocs] - * {@set [CommonRangeOfColumnsDocs.Example] Type::fromColumn[`..`][KProperty.rangeTo]toColumn} + * {@set [CommonRangeOfColumnsDocs.Example] \ `Type::fromColumn`[`..`][KProperty.rangeTo]`toColumn`\ } */ public operator fun KProperty<*>.rangeTo(endInclusive: AnyColumnReference): ColumnSet<*> = toColumnAccessor().rangeTo(endInclusive) /** * @include [CommonRangeOfColumnsDocs] - * {@set [CommonRangeOfColumnsDocs.Example] fromColumn[`..`][ColumnReference.rangeTo]"toColumn"} + * {@set [CommonRangeOfColumnsDocs.Example] \ `fromColumn`[`..`][ColumnReference.rangeTo]`"toColumn"`\ } */ public operator fun AnyColumnReference.rangeTo(endInclusive: String): ColumnSet<*> = rangeTo(endInclusive.toColumnAccessor()) /** * @include [CommonRangeOfColumnsDocs] - * {@set [CommonRangeOfColumnsDocs.Example] fromColumn[`..`][ColumnReference.rangeTo]Type::toColumn} + * {@set [CommonRangeOfColumnsDocs.Example] \ `fromColumn`[`..`][ColumnReference.rangeTo]`Type::toColumn`\ } */ public operator fun AnyColumnReference.rangeTo(endInclusive: KProperty<*>): ColumnSet<*> = rangeTo(endInclusive.toColumnAccessor()) /** * @include [CommonRangeOfColumnsDocs] - * {@set [CommonRangeOfColumnsDocs.Example] fromColumn[`..`][ColumnReference.rangeTo]toColumn} + * {@set [CommonRangeOfColumnsDocs.Example] \ `fromColumn`[`..`][ColumnReference.rangeTo]`toColumn`\ } */ public operator fun AnyColumnReference.rangeTo(endInclusive: AnyColumnReference): ColumnSet<*> = createColumnSet { context -> diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/distinct.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/distinct.kt index 765113068..a6ebe357a 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/distinct.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/distinct.kt @@ -73,7 +73,7 @@ public interface DistinctColumnsSelectionDsl { */ public interface Grammar { - /** .[**distinct**][ColumnsSelectionDsl.distinct] */ + /** \**`.`**[**distinct**][ColumnsSelectionDsl.distinct] */ public interface ColumnSetName } diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/drop.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/drop.kt index 5330d5dea..68f3ff714 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/drop.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/drop.kt @@ -88,19 +88,19 @@ public interface DropColumnsSelectionDsl { /** [**drop**][ColumnsSelectionDsl.drop]`(`[**Last**][ColumnsSelectionDsl.dropLast]`)` */ public interface PlainDslName - /** .[**drop**][ColumnsSelectionDsl.drop]`(`[**Last**][ColumnSet.dropLast]`)` */ + /** \**`.`**[**drop**][ColumnsSelectionDsl.drop]`(`[**Last**][ColumnSet.dropLast]`)` */ public interface ColumnSetName - /** .[**drop**][ColumnsSelectionDsl.dropCols]`(`[**Last**][ColumnsSelectionDsl.dropLastCols]`)`[**Cols**][ColumnsSelectionDsl.dropCols] */ + /** \**`.`**[**drop**][ColumnsSelectionDsl.dropCols]`(`[**Last**][ColumnsSelectionDsl.dropLastCols]`)`[**Cols**][ColumnsSelectionDsl.dropCols] */ public interface ColumnGroupName /** [**drop**][ColumnsSelectionDsl.dropWhile]`(`[**Last**][ColumnsSelectionDsl.dropLastWhile]`)`[**While**][ColumnsSelectionDsl.dropWhile] */ public interface PlainDslWhileName - /** .[**drop**][ColumnsSelectionDsl.dropWhile]`(`[**Last**][ColumnsSelectionDsl.dropLastWhile]`)`[**While**][ColumnsSelectionDsl.dropWhile] */ + /** \**`.`**[**drop**][ColumnsSelectionDsl.dropWhile]`(`[**Last**][ColumnsSelectionDsl.dropLastWhile]`)`[**While**][ColumnsSelectionDsl.dropWhile] */ public interface ColumnSetWhileName - /** .[**drop**][ColumnsSelectionDsl.dropColsWhile]`(`[**Last**][ColumnsSelectionDsl.dropLastColsWhile]`)`[**ColsWhile**][ColumnsSelectionDsl.dropColsWhile] */ + /** \**`.`**[**drop**][ColumnsSelectionDsl.dropColsWhile]`(`[**Last**][ColumnsSelectionDsl.dropLastColsWhile]`)`[**ColsWhile**][ColumnsSelectionDsl.dropColsWhile] */ public interface ColumnGroupWhileName } diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/filter.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/filter.kt index 1f6263f5f..5bc51a0a8 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/filter.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/filter.kt @@ -81,7 +81,7 @@ public interface FilterColumnsSelectionDsl { */ public interface Grammar { - /** .[**filter**][ColumnsSelectionDsl.filter] */ + /** \**`.`**[**filter**][ColumnsSelectionDsl.filter] */ public interface ColumnSetName } diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/first.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/first.kt index 0598f9811..4bbbc3dde 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/first.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/first.kt @@ -120,10 +120,10 @@ public interface FirstColumnsSelectionDsl { /** [**first**][ColumnsSelectionDsl.first] */ public interface PlainDslName - /** .[**first**][ColumnsSelectionDsl.first] */ + /** \**`.`**[**first**][ColumnsSelectionDsl.first] */ public interface ColumnSetName - /** .[**firstCol**][ColumnsSelectionDsl.firstCol] */ + /** \**`.`**[**firstCol**][ColumnsSelectionDsl.firstCol] */ public interface ColumnGroupName } diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCol.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCol.kt index fc313afac..d23cca834 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCol.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCol.kt @@ -66,10 +66,10 @@ public interface FrameColColumnsSelectionDsl { /** [**frameCol**][ColumnsSelectionDsl.frameCol] */ public interface PlainDslName - /** .[**frameCol**][ColumnsSelectionDsl.frameCol] */ + /** \**`.`**[**frameCol**][ColumnsSelectionDsl.frameCol] */ public interface ColumnSetName - /** .[**frameCol**][ColumnsSelectionDsl.frameCol] */ + /** \**`.`**[**frameCol**][ColumnsSelectionDsl.frameCol] */ public interface ColumnGroupName } diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCols.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCols.kt index a1f8248de..ca491bf7d 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCols.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCols.kt @@ -58,10 +58,10 @@ public interface FrameColsColumnsSelectionDsl { /** [**frameCols**][ColumnsSelectionDsl.colGroups] */ public interface PlainDslName - /** .[**frameCols**][ColumnsSelectionDsl.colGroups] */ + /** \**`.`**[**frameCols**][ColumnsSelectionDsl.colGroups] */ public interface ColumnSetName - /** .[**frameCols**][ColumnsSelectionDsl.colGroups] */ + /** \**`.`**[**frameCols**][ColumnsSelectionDsl.colGroups] */ public interface ColumnGroupName } diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/last.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/last.kt index 798f27d5b..7dd6f80d9 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/last.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/last.kt @@ -120,10 +120,10 @@ public interface LastColumnsSelectionDsl { /** [**last**][ColumnsSelectionDsl.last] */ public interface PlainDslName - /** .[**last**][ColumnsSelectionDsl.last] */ + /** \**`.`**[**last**][ColumnsSelectionDsl.last] */ public interface ColumnSetName - /** .[**lastCol**][ColumnsSelectionDsl.lastCol] */ + /** \**`.`**[**lastCol**][ColumnsSelectionDsl.lastCol] */ public interface ColumnGroupName } diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/rename.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/rename.kt index c4b15aca7..57d831426 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/rename.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/rename.kt @@ -143,10 +143,10 @@ public interface RenameColumnsSelectionDsl { /** [**into**][ColumnsSelectionDsl.into] */ public interface InfixIntoName - /** .[**named**][ColumnsSelectionDsl.named] */ + /** \**`.`**[**named**][ColumnsSelectionDsl.named] */ public interface NamedName - /** .[**into**][ColumnsSelectionDsl.into] */ + /** \**`.`**[**into**][ColumnsSelectionDsl.into] */ public interface IntoName } diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/select.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/select.kt index 263f05310..47695035a 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/select.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/select.kt @@ -117,7 +117,7 @@ public interface SelectColumnsSelectionDsl { */ public interface Grammar { - /** .[**select**][ColumnsSelectionDsl.select] */ + /** \**`.`**[**select**][ColumnsSelectionDsl.select] */ public interface ColumnGroupName } diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/simplify.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/simplify.kt index c38c742e5..898d9c3c7 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/simplify.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/simplify.kt @@ -39,7 +39,7 @@ public interface SimplifyColumnsSelectionDsl { */ public interface Grammar { - /** .[**simplify**][ColumnsSelectionDsl.simplify] */ + /** \**`.`**[**simplify**][ColumnsSelectionDsl.simplify] */ public interface ColumnSetName } diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/single.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/single.kt index 5c65321cb..5fd80421c 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/single.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/single.kt @@ -90,10 +90,10 @@ public interface SingleColumnsSelectionDsl { /** [**single**][ColumnsSelectionDsl.single] */ public interface PlainDslName - /** .[**single**][ColumnsSelectionDsl.single] */ + /** \**`.`**[**single**][ColumnsSelectionDsl.single] */ public interface ColumnSetName - /** .[**singleCol**][ColumnsSelectionDsl.singleCol] */ + /** \**`.`**[**singleCol**][ColumnsSelectionDsl.singleCol] */ public interface ColumnGroupName } diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/take.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/take.kt index 2696dffcc..f281d8640 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/take.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/take.kt @@ -80,19 +80,19 @@ public interface TakeColumnsSelectionDsl { /** [**take**][ColumnsSelectionDsl.take]`(`[**Last**][ColumnsSelectionDsl.takeLast]`)` */ public interface PlainDslName - /** .[**take**][ColumnsSelectionDsl.take]`(`[**Last**][ColumnSet.takeLast]`)` */ + /** \**`.`**[**take**][ColumnsSelectionDsl.take]`(`[**Last**][ColumnSet.takeLast]`)` */ public interface ColumnSetName - /** .[**take**][ColumnsSelectionDsl.takeCols]`(`[**Last**][ColumnsSelectionDsl.takeLastCols]`)`[**Cols**][ColumnsSelectionDsl.takeCols] */ + /** \**`.`**[**take**][ColumnsSelectionDsl.takeCols]`(`[**Last**][ColumnsSelectionDsl.takeLastCols]`)`[**Cols**][ColumnsSelectionDsl.takeCols] */ public interface ColumnGroupName /** [**take**][ColumnsSelectionDsl.takeWhile]`(`[**Last**][ColumnsSelectionDsl.takeLastWhile]`)`[**While**][ColumnsSelectionDsl.takeWhile] */ public interface PlainDslWhileName - /** .[**take**][ColumnsSelectionDsl.takeWhile]`(`[**Last**][ColumnsSelectionDsl.takeLastWhile]`)`[**While**][ColumnsSelectionDsl.takeWhile] */ + /** \**`.`**[**take**][ColumnsSelectionDsl.takeWhile]`(`[**Last**][ColumnsSelectionDsl.takeLastWhile]`)`[**While**][ColumnsSelectionDsl.takeWhile] */ public interface ColumnSetWhileName - /** .[**take**][ColumnsSelectionDsl.takeColsWhile]`(`[**Last**][ColumnsSelectionDsl.takeLastColsWhile]`)`[**ColsWhile**][ColumnsSelectionDsl.takeColsWhile] */ + /** \**`.`**[**take**][ColumnsSelectionDsl.takeColsWhile]`(`[**Last**][ColumnsSelectionDsl.takeLastColsWhile]`)`[**ColsWhile**][ColumnsSelectionDsl.takeColsWhile] */ public interface ColumnGroupWhileName } diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCol.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCol.kt index c34bb0a70..9495cdf58 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCol.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCol.kt @@ -66,10 +66,10 @@ public interface ValueColColumnsSelectionDsl { /** [**valueCol**][ColumnsSelectionDsl.valueCol] */ public interface PlainDslName - /** .[**valueCol**][ColumnsSelectionDsl.valueCol] */ + /** \**`.`**[**valueCol**][ColumnsSelectionDsl.valueCol] */ public interface ColumnSetName - /** .[**valueCol**][ColumnsSelectionDsl.valueCol] */ + /** \**`.`**[**valueCol**][ColumnsSelectionDsl.valueCol] */ public interface ColumnGroupName } diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCols.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCols.kt index f90005680..afc5de053 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCols.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCols.kt @@ -58,10 +58,10 @@ public interface ValueColsColumnsSelectionDsl { /** [**valueCols**][ColumnsSelectionDsl.valueCols] */ public interface PlainDslName - /** .[**valueCols**][ColumnsSelectionDsl.valueCols] */ + /** \**`.`**[**valueCols**][ColumnsSelectionDsl.valueCols] */ public interface ColumnSetName - /** .[**valueCols**][ColumnsSelectionDsl.valueCols] */ + /** \**`.`**[**valueCols**][ColumnsSelectionDsl.valueCols] */ public interface ColumnGroupName } diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/withoutNulls.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/withoutNulls.kt index ebdaea3c7..1afbfbeab 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/withoutNulls.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/withoutNulls.kt @@ -52,10 +52,10 @@ public interface WithoutNullsColumnsSelectionDsl { /** [**withoutNulls**][ColumnsSelectionDsl.withoutNulls] */ public interface PlainDslName - /** .[**withoutNulls**][ColumnsSelectionDsl.withoutNulls] */ + /** \**`.`**[**withoutNulls**][ColumnsSelectionDsl.withoutNulls] */ public interface ColumnSetName - /** .[**colsWithoutNulls**][ColumnsSelectionDsl.colsWithoutNulls] */ + /** \**`.`**[**colsWithoutNulls**][ColumnsSelectionDsl.colsWithoutNulls] */ public interface ColumnGroupName } diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/DslGrammarTemplateColumnsSelectionDsl.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/DslGrammarTemplateColumnsSelectionDsl.kt index 251dd5ced..8d85476e6 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/DslGrammarTemplateColumnsSelectionDsl.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/DslGrammarTemplateColumnsSelectionDsl.kt @@ -103,10 +103,10 @@ public interface DslGrammarTemplateColumnsSelectionDsl { // region Definitions for at the top of the template /** - * `columnGroupReference: `[String][String]` | `[KProperty][kotlin.reflect.KProperty]`<*>` + * `columnGroupReference: `[String][String]` | `[KProperty][kotlin.reflect.KProperty]`<*>` * - * {@include [QuadrupleIndent]}{@include [QuadrupleIndent]}{@include [DoubleIndent]} - * | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * {@include [QuadrupleIndent]}{@include [QuadrupleIndent]}{@include [Indent]}{@include [HalfIndent]}{@include [QuarterIndent]} + * `| `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] */ public interface ColumnGroupNoSingleColumnDef @@ -117,7 +117,7 @@ public interface DslGrammarTemplateColumnsSelectionDsl { public interface ColumnsSelectorDef /** - * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] + * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] * * {@include [DoubleIndent]}{@include [HalfIndent]}{@include [QuarterIndent]} * `| `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] @@ -128,14 +128,14 @@ public interface DslGrammarTemplateColumnsSelectionDsl { * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] * * {@include [QuadrupleIndent]}{@include [Indent]}{@include [QuarterIndent]} - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][DataRow]`<*>>` | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] */ public interface ColumnGroupDef - /** `columnNoAccessor: `[String][String]` | `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] */ + /** `columnNoAccessor: `[String][String]` | `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] */ public interface ColumnNoAccessorDef - /** `columnOrSet: `{@include [ColumnRef]}` | `{@include [ColumnSetRef]} */ + /** `columnOrSet: `{@include [ColumnRef]}` | `{@include [ColumnSetRef]} */ public interface ColumnOrColumnSetDef /** `columnSet: `[ColumnSet][ColumnSet]`<*>` */ @@ -178,7 +178,7 @@ public interface DslGrammarTemplateColumnsSelectionDsl { public interface RegexDef /** - * `singleColumn: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> + * `singleColumn: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` */ public interface SingleColumnDef diff --git a/docs/StardustDocs/topics/ColumnSelectors.md b/docs/StardustDocs/topics/ColumnSelectors.md index fefb784d4..9f735ed99 100644 --- a/docs/StardustDocs/topics/ColumnSelectors.md +++ b/docs/StardustDocs/topics/ColumnSelectors.md @@ -234,3 +234,56 @@ df.select { (colsOf() and age).distinct() } + +

Columns Selection DSL Grammar

    

(What is this notation?) +    

Definitions:

columnGroupReference: String | KProperty<*>

                                        +| ColumnPath

colSelector: ColumnSelector

colsSelector: ColumnsSelector

column: ColumnAccessor | String

            +| KProperty<*> | ColumnPath

columnGroup: SingleColumn<DataRow<*>> | String

                      +| KProperty<* | DataRow<*>> | ColumnPath

columnNoAccessor: String | KProperty<*> | ColumnPath

columnOrSet: column | columnSet

columnSet: ColumnSet<*>

columnsResolver: ColumnsResolver

condition: ColumnFilter

expression: Column Expression

ignoreCase: Boolean

index: Int

indexRange: IntRange

infer: Infer

kind: ColumnKind

kType: KType

name: String

number: Int

regex: Regex

singleColumn: SingleColumn<DataRow<*>>

T: Column type

text: String

    

What can be called directly in the Columns Selection DSL:

    

column .. column

| this/it[column,..]

| this/it[{ condition }]

| all()

| all(Before|After|From|UpTo) ( (column) | { colSelector } )

| allExcept { colsSelector }

| allExcept(column, ..)

| columnOrSet and [ { ] columnOrSet [ } ]

| columnOrSet.and (|{ columnOrSet }|)

| ( + col + | valueCol + | frameCol + | colGroup + )[<T>](column | index)

| ( + cols + | valueCols + | frameCols + | colGroups + ) [ { condition } ]

| cols[<T>](column,.. |index,.. |indexRange)

| colsAtAnyDepth [ { condition } ]

| colsInGroups [ { condition } ]

| colsOf<T> [ (kType) ] [ { condition } ]

| colsOfKind(kind, ..) [ { condition } ]

| drop(Last)(number)

| drop(Last)While { condition }

| expr([name,][infer]) { expression }

| ( + first + | last + | single + ) [ { condition } ]

| nameContains(text[, ignoreCase] | regex)

| +name(Starts|Ends)With (text[, ignoreCase])

| column named/into column

| column(.named|.into)(column)

| none()

| take(Last)(number)

| take(Last)While { condition }

| withoutNulls()

    

What can be called on a ColumnSet:

    

columnSet

    [index]

    | [index,.. |indexRange]`

    | [{ condition }]

    | .all()

    | .all(Before|After|From|UpTo) ( (column) | { condition } )

    | .and (|{ columnOrSet }|)

    | ( + .col + | .valueCol + | .frameCol + | .colGroup + )(index)

    | ( + .cols + | .valueCols + | .frameCols + | .colGroups + ) [ { condition } ]

    | .cols(index,.. |indexRange)

    | .colsAtAnyDepth [ { condition } ]

    | .colsInGroups [ { condition } ]

    | .colsOf<T> [ (kType) ] [ { condition } ]

    | .colsOfKind(kind, ..) [ { condition } ]

    | .distinct()

    | .drop(Last)(number)

    | .drop(Last)While { condition }

    | except [ { ] columnsResolver [}]

    | except column

    | .except(column, ..)

    | .filter { condition }

    | ( + .first + | .last + | .single + ) [ { condition } ]

    | .name(Starts|Ends)With (text[, ignoreCase])

    | .nameContains(text[, ignoreCase] | regex)

    | .simplify()

    | .take(Last)(number)

    | .take(Last)While { condition }

    | .withoutNulls()

    

What can be called on a Column Group (reference):

    

columnGroup

    | [column, ..]

    | [{ condition }]

    | { colsSelector }

    | .allCols()

    | .allCols(Before|After|From|UpTo) ( (column) | { colSelector } )

    | .allColsExcept { colsSelector}

    | .allColsExcept(columnNoAccessor, ..)

    | .and (|{ columnOrSet }|)

    | ( + .col + | .valueCol + | .frameCol + | .colGroup + )[<T>](column | index)

    | ( + .cols + | .valueCols + | .frameCols + | .colGroups + ) [ { condition } ]

    | .cols[<T>](column,.. |index,.. |indexRange)

    | .colsAtAnyDepth [ { condition } ]

    | .colsInGroups [ { condition } ]

    | .colsName(Starts|Ends)With (text[, ignoreCase])

    | .colsNameContains(text[, ignoreCase] | regex)

    | .colsOfKind(kind, ..) [ { condition } ]

    | .colsWithoutNulls()

    | .drop(Last)Cols(number)

    | .drop(Last)ColsWhile { condition }

    | exceptNew { colsSelector } EXPERIMENTAL!

    | exceptNew(columnNoAccessor, ..) EXPERIMENTAL!

    | ( + .firstCol + | .lastCol + | .singleCol + ) [ { condition } ]

    | .select { colsSelector }

    | .take(Last)Cols(number)

    | .take(Last)ColsWhile { condition }

    

singleColumn

    .colsOf<T> [ (kType) ] [ { condition } ]

    

columnGroupReference

    .colsOf<T>(kType) [ { condition } ]

+ +Hello `**test** also hi` + +Hello **`test`**` also hi` From 5cf039129556d5f8e369a9864013fcfb08885809 Mon Sep 17 00:00:00 2001 From: Jolan Rensen Date: Mon, 4 Mar 2024 14:00:50 +0100 Subject: [PATCH 02/11] fixup! fixing several ` ` kdoc issues --- docs/StardustDocs/topics/ColumnSelectors.md | 53 --------------------- 1 file changed, 53 deletions(-) diff --git a/docs/StardustDocs/topics/ColumnSelectors.md b/docs/StardustDocs/topics/ColumnSelectors.md index 9f735ed99..fefb784d4 100644 --- a/docs/StardustDocs/topics/ColumnSelectors.md +++ b/docs/StardustDocs/topics/ColumnSelectors.md @@ -234,56 +234,3 @@ df.select { (colsOf() and age).distinct() } - -

Columns Selection DSL Grammar

    

(What is this notation?) -    

Definitions:

columnGroupReference: String | KProperty<*>

                                        -| ColumnPath

colSelector: ColumnSelector

colsSelector: ColumnsSelector

column: ColumnAccessor | String

            -| KProperty<*> | ColumnPath

columnGroup: SingleColumn<DataRow<*>> | String

                      -| KProperty<* | DataRow<*>> | ColumnPath

columnNoAccessor: String | KProperty<*> | ColumnPath

columnOrSet: column | columnSet

columnSet: ColumnSet<*>

columnsResolver: ColumnsResolver

condition: ColumnFilter

expression: Column Expression

ignoreCase: Boolean

index: Int

indexRange: IntRange

infer: Infer

kind: ColumnKind

kType: KType

name: String

number: Int

regex: Regex

singleColumn: SingleColumn<DataRow<*>>

T: Column type

text: String

    

What can be called directly in the Columns Selection DSL:

    

column .. column

| this/it[column,..]

| this/it[{ condition }]

| all()

| all(Before|After|From|UpTo) ( (column) | { colSelector } )

| allExcept { colsSelector }

| allExcept(column, ..)

| columnOrSet and [ { ] columnOrSet [ } ]

| columnOrSet.and (|{ columnOrSet }|)

| ( - col - | valueCol - | frameCol - | colGroup - )[<T>](column | index)

| ( - cols - | valueCols - | frameCols - | colGroups - ) [ { condition } ]

| cols[<T>](column,.. |index,.. |indexRange)

| colsAtAnyDepth [ { condition } ]

| colsInGroups [ { condition } ]

| colsOf<T> [ (kType) ] [ { condition } ]

| colsOfKind(kind, ..) [ { condition } ]

| drop(Last)(number)

| drop(Last)While { condition }

| expr([name,][infer]) { expression }

| ( - first - | last - | single - ) [ { condition } ]

| nameContains(text[, ignoreCase] | regex)

| -name(Starts|Ends)With (text[, ignoreCase])

| column named/into column

| column(.named|.into)(column)

| none()

| take(Last)(number)

| take(Last)While { condition }

| withoutNulls()

    

What can be called on a ColumnSet:

    

columnSet

    [index]

    | [index,.. |indexRange]`

    | [{ condition }]

    | .all()

    | .all(Before|After|From|UpTo) ( (column) | { condition } )

    | .and (|{ columnOrSet }|)

    | ( - .col - | .valueCol - | .frameCol - | .colGroup - )(index)

    | ( - .cols - | .valueCols - | .frameCols - | .colGroups - ) [ { condition } ]

    | .cols(index,.. |indexRange)

    | .colsAtAnyDepth [ { condition } ]

    | .colsInGroups [ { condition } ]

    | .colsOf<T> [ (kType) ] [ { condition } ]

    | .colsOfKind(kind, ..) [ { condition } ]

    | .distinct()

    | .drop(Last)(number)

    | .drop(Last)While { condition }

    | except [ { ] columnsResolver [}]

    | except column

    | .except(column, ..)

    | .filter { condition }

    | ( - .first - | .last - | .single - ) [ { condition } ]

    | .name(Starts|Ends)With (text[, ignoreCase])

    | .nameContains(text[, ignoreCase] | regex)

    | .simplify()

    | .take(Last)(number)

    | .take(Last)While { condition }

    | .withoutNulls()

    

What can be called on a Column Group (reference):

    

columnGroup

    | [column, ..]

    | [{ condition }]

    | { colsSelector }

    | .allCols()

    | .allCols(Before|After|From|UpTo) ( (column) | { colSelector } )

    | .allColsExcept { colsSelector}

    | .allColsExcept(columnNoAccessor, ..)

    | .and (|{ columnOrSet }|)

    | ( - .col - | .valueCol - | .frameCol - | .colGroup - )[<T>](column | index)

    | ( - .cols - | .valueCols - | .frameCols - | .colGroups - ) [ { condition } ]

    | .cols[<T>](column,.. |index,.. |indexRange)

    | .colsAtAnyDepth [ { condition } ]

    | .colsInGroups [ { condition } ]

    | .colsName(Starts|Ends)With (text[, ignoreCase])

    | .colsNameContains(text[, ignoreCase] | regex)

    | .colsOfKind(kind, ..) [ { condition } ]

    | .colsWithoutNulls()

    | .drop(Last)Cols(number)

    | .drop(Last)ColsWhile { condition }

    | exceptNew { colsSelector } EXPERIMENTAL!

    | exceptNew(columnNoAccessor, ..) EXPERIMENTAL!

    | ( - .firstCol - | .lastCol - | .singleCol - ) [ { condition } ]

    | .select { colsSelector }

    | .take(Last)Cols(number)

    | .take(Last)ColsWhile { condition }

    

singleColumn

    .colsOf<T> [ (kType) ] [ { condition } ]

    

columnGroupReference

    .colsOf<T>(kType) [ { condition } ]

- -Hello `**test** also hi` - -Hello **`test`**` also hi` From feb320628c61ede7bb8b3aaa9647ea9e6b589bf4 Mon Sep 17 00:00:00 2001 From: Jolan Rensen Date: Wed, 6 Mar 2024 14:27:07 +0100 Subject: [PATCH 03/11] fixup! fixup! fixing several ` ` kdoc issues --- .../kotlinx/dataframe/api/ColumnsSelectionDsl.kt | 10 +++++----- .../kotlinx/dataframe/api/columnNameFilters.kt | 12 ++++++------ .../kotlinx/dataframe/api/ColumnsSelectionDsl.kt | 10 +++++----- .../kotlinx/dataframe/api/columnNameFilters.kt | 12 ++++++------ 4 files changed, 22 insertions(+), 22 deletions(-) diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/ColumnsSelectionDsl.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/ColumnsSelectionDsl.kt index 9fff13ab7..a9a70bf50 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/ColumnsSelectionDsl.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/ColumnsSelectionDsl.kt @@ -256,7 +256,7 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * * `| `[**nameContains**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameContains]**`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[regex][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** * - * `| `**`name`**`(`[**Starts**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameEndsWith]`)`**`With`****` (`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** + * `| `**`name`**`(`[**Starts**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameEndsWith]`)`**`With`**__`(`__[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** * * `| `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` `[**named**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.named]`/`[**into**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.into]` `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef] * @@ -311,7 +311,7 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * *     `| `**`.`**[**drop**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.dropWhile]`(`[**Last**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.dropLastWhile]`)`[**While**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.dropWhile]**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** * - *     `| `[**except**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.except]` [`**` { `**`] `[columnsResolver][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsResolverDef]` [`**` } `**`]` + *     `| `[**except**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.except]` [`**` { `**`] `[columnsResolver][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsResolverDef]` [`**` } `**`]` * *     `| `[**except**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.except]` `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef] * @@ -321,7 +321,7 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * *     `| (`**`.`**[**first**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.first]`| `**`.`**[**last**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.last]`| `**`.`**[**single**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.single]`) [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - *     `| `**`.name`**`(`[**Starts**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameEndsWith]`)`**`With`****` (`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** + *     `| `**`.name`**`(`[**Starts**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameEndsWith]`)`**`With`**__`(`__[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** * *     `| `**`.`**[**nameContains**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameContains]**`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[regex][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** * @@ -352,7 +352,7 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * *     `| `**`.allCols`**`(`[**Before**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`|`[**After**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`|`[**From**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`|`[**UpTo**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`) ( `**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`**` | `**`{ `**[colSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSelectorDef]**` }`**` )` * - *     `| `**`.`**[**allColsExcept**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.allColsExcept]**` { `**[colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` } `** + *     `| `**`.`**[**allColsExcept**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.allColsExcept]**` { `**[colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` } `** * *     `| `**`.`**[**allColsExcept**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.allColsExcept]**`(`**[columnNoAccessor][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnNoAccessorDef]**`,`**` ..`**`)`** * @@ -368,7 +368,7 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * *     `| `**`.`**[**colsInGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - *     `| `**`.colsName`**`(`[**Starts**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameStartsWith]`|`[**Ends**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameEndsWith]`)`**`With`****`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** + *     `| `**`.colsName`**`(`[**Starts**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameStartsWith]`|`[**Ends**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameEndsWith]`)`**`With`**__`(`__[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** * *     `| `**`.`**[**colsNameContains**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameContains]**`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[regex][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** * diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnNameFilters.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnNameFilters.kt index d0822832f..85159079f 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnNameFilters.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnNameFilters.kt @@ -60,9 +60,9 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * *      * - * [**nameContains**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameContains]**`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`,`** [ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[regex][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** + * [**nameContains**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameContains]**`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[regex][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** * - * `|` **`name`**`(`[**Starts**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameEndsWith]`)`**`With`** **`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`,`** [ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** + * `|` **`name`**`(`[**Starts**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameEndsWith]`)`**`With`**__`(`__[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** * *      * @@ -73,9 +73,9 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     **`.`**[**nameContains**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameContains]**`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`,`** [ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[regex][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** + *     **`.`**[**nameContains**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameContains]**`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[regex][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** * - *     `|` **`.name`**`(`[**Starts**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameEndsWith]`)`**`With`** **`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`,`** [ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** + *     `|` **`.name`**`(`[**Starts**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameEndsWith]`)`**`With`**__`(`__[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** * *      * @@ -86,9 +86,9 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     **`.`**[**colsNameContains**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameContains]**`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`,`** [ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[regex][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** + *     **`.`**[**colsNameContains**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameContains]**`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[regex][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** * - *     `|` **`.colsName`**`(`[**Starts**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameStartsWith]`|`[**Ends**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameEndsWith]`)`**`With`** **`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`,`** [ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** + *     `|` **`.colsName`**`(`[**Starts**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameStartsWith]`|`[**Ends**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameEndsWith]`)`**`With`**__`(`__[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** * * * diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/ColumnsSelectionDsl.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/ColumnsSelectionDsl.kt index 860687402..a102f7e17 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/ColumnsSelectionDsl.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/ColumnsSelectionDsl.kt @@ -213,7 +213,7 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * * `| `{@include [ColumnNameFiltersColumnsSelectionDsl.Grammar.PlainDslNameContains]}**`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`, `**{@include [DslGrammarTemplate.IgnoreCaseRef]}`] | `{@include [DslGrammarTemplate.RegexRef]}**`)`** * - * `| `{@include [ColumnNameFiltersColumnsSelectionDsl.Grammar.PlainDslNameStartsEndsWith]}**` (`**{@include [DslGrammarTemplate.TextRef]}`[`**`, `**{@include [DslGrammarTemplate.IgnoreCaseRef]}`]`**`)`** + * `| `{@include [ColumnNameFiltersColumnsSelectionDsl.Grammar.PlainDslNameStartsEndsWith]}__`(`__{@include [DslGrammarTemplate.TextRef]}`[`**`, `**{@include [DslGrammarTemplate.IgnoreCaseRef]}`]`**`)`** * * `| `{@include [DslGrammarTemplate.ColumnRef]}` `{@include [RenameColumnsSelectionDsl.Grammar.InfixNamedName]}`/`{@include [RenameColumnsSelectionDsl.Grammar.InfixIntoName]}` `{@include [DslGrammarTemplate.ColumnRef]} * @@ -262,7 +262,7 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * * {@include [Indent]}`| `{@include [DropColumnsSelectionDsl.Grammar.ColumnSetWhileName]}**` { `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** * - * {@include [Indent]}`| `{@include [AllExceptColumnsSelectionDsl.Grammar.ColumnSetName]}` [`**` { `**`] `{@include [DslGrammarTemplate.ColumnsResolverRef]}` [`**` \} `**`]` + * {@include [Indent]}`| `{@include [AllExceptColumnsSelectionDsl.Grammar.ColumnSetName]}` [`**` { `**`] `{@include [DslGrammarTemplate.ColumnsResolverRef]}` [`**` \} `**`]` * * {@include [Indent]}`| `{@include [AllExceptColumnsSelectionDsl.Grammar.ColumnSetName]}` `{@include [DslGrammarTemplate.ColumnRef]} * @@ -272,7 +272,7 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * * {@include [Indent]}`| (`{@include [FirstColumnsSelectionDsl.Grammar.ColumnSetName]}`| `{@include [LastColumnsSelectionDsl.Grammar.ColumnSetName]}`| `{@include [SingleColumnsSelectionDsl.Grammar.ColumnSetName]}`) [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * - * {@include [Indent]}`| `{@include [ColumnNameFiltersColumnsSelectionDsl.Grammar.ColumnSetNameStartsEndsWith]}**` (`**{@include [DslGrammarTemplate.TextRef]}`[`**`, `**{@include [DslGrammarTemplate.IgnoreCaseRef]}`]`**`)`** + * {@include [Indent]}`| `{@include [ColumnNameFiltersColumnsSelectionDsl.Grammar.ColumnSetNameStartsEndsWith]}__`(`__{@include [DslGrammarTemplate.TextRef]}`[`**`, `**{@include [DslGrammarTemplate.IgnoreCaseRef]}`]`**`)`** * * {@include [Indent]}`| `{@include [ColumnNameFiltersColumnsSelectionDsl.Grammar.ColumnSetNameContains]}**`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`, `**{@include [DslGrammarTemplate.IgnoreCaseRef]}`] | `{@include [DslGrammarTemplate.RegexRef]}**`)`** * @@ -297,7 +297,7 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * * {@include [Indent]}`| `**`.allCols`**`(`{@include [AllColumnsSelectionDsl.Grammar.Before]}`|`{@include [AllColumnsSelectionDsl.Grammar.After]}`|`{@include [AllColumnsSelectionDsl.Grammar.From]}`|`{@include [AllColumnsSelectionDsl.Grammar.UpTo]}`) ( `**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`)`**` | `**`{ `**{@include [DslGrammarTemplate.ColumnSelectorRef]}**` \}`**` )` * - * {@include [Indent]}`| `{@include [AllExceptColumnsSelectionDsl.Grammar.ColumnGroupName]}**` { `**{@include [DslGrammarTemplate.ColumnsSelectorRef]}**` \} `** + * {@include [Indent]}`| `{@include [AllExceptColumnsSelectionDsl.Grammar.ColumnGroupName]}**` { `**{@include [DslGrammarTemplate.ColumnsSelectorRef]}**` \} `** * * {@include [Indent]}`| `{@include [AllExceptColumnsSelectionDsl.Grammar.ColumnGroupName]}**`(`**{@include [DslGrammarTemplate.ColumnNoAccessorRef]}**`,`**` ..`**`)`** * @@ -313,7 +313,7 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * * {@include [Indent]}`| `{@include [ColsInGroupsColumnsSelectionDsl.Grammar.ColumnGroupName]}` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * - * {@include [Indent]}`| `{@include [ColumnNameFiltersColumnsSelectionDsl.Grammar.ColumnGroupNameStartsWith]}**`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`, `**{@include [DslGrammarTemplate.IgnoreCaseRef]}`]`**`)`** + * {@include [Indent]}`| `{@include [ColumnNameFiltersColumnsSelectionDsl.Grammar.ColumnGroupNameStartsWith]}__`(`__{@include [DslGrammarTemplate.TextRef]}`[`**`, `**{@include [DslGrammarTemplate.IgnoreCaseRef]}`]`**`)`** * * {@include [Indent]}`| `{@include [ColumnNameFiltersColumnsSelectionDsl.Grammar.ColumnGroupNameContains]}**`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`, `**{@include [DslGrammarTemplate.IgnoreCaseRef]}`] | `{@include [DslGrammarTemplate.RegexRef]}**`)`** * diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnNameFilters.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnNameFilters.kt index c1f3b4d69..b9661e3eb 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnNameFilters.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnNameFilters.kt @@ -39,21 +39,21 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * } * * {@set [DslGrammarTemplate.PlainDslFunctionsArg] - * {@include [PlainDslNameContains]}**`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`,`** {@include [DslGrammarTemplate.IgnoreCaseRef]}`] | `{@include [DslGrammarTemplate.RegexRef]}**`)`** + * {@include [PlainDslNameContains]}**`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`, `**{@include [DslGrammarTemplate.IgnoreCaseRef]}`] | `{@include [DslGrammarTemplate.RegexRef]}**`)`** * - * `|` {@include [PlainDslNameStartsEndsWith]} **`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`,`** {@include [DslGrammarTemplate.IgnoreCaseRef]}`]`**`)`** + * `|` {@include [PlainDslNameStartsEndsWith]}__`(`__{@include [DslGrammarTemplate.TextRef]}`[`**`, `**{@include [DslGrammarTemplate.IgnoreCaseRef]}`]`**`)`** * } * * {@set [DslGrammarTemplate.ColumnSetFunctionsArg] - * {@include [Indent]}{@include [ColumnSetNameContains]}**`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`,`** {@include [DslGrammarTemplate.IgnoreCaseRef]}`] | `{@include [DslGrammarTemplate.RegexRef]}**`)`** + * {@include [Indent]}{@include [ColumnSetNameContains]}**`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`, `**{@include [DslGrammarTemplate.IgnoreCaseRef]}`] | `{@include [DslGrammarTemplate.RegexRef]}**`)`** * - * {@include [Indent]}`|` {@include [ColumnSetNameStartsEndsWith]} **`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`,`** {@include [DslGrammarTemplate.IgnoreCaseRef]}`]`**`)`** + * {@include [Indent]}`|` {@include [ColumnSetNameStartsEndsWith]}__`(`__{@include [DslGrammarTemplate.TextRef]}`[`**`, `**{@include [DslGrammarTemplate.IgnoreCaseRef]}`]`**`)`** * } * * {@set [DslGrammarTemplate.ColumnGroupFunctionsArg] - * {@include [Indent]}{@include [ColumnGroupNameContains]}**`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`,`** {@include [DslGrammarTemplate.IgnoreCaseRef]}`] | `{@include [DslGrammarTemplate.RegexRef]}**`)`** + * {@include [Indent]}{@include [ColumnGroupNameContains]}**`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`, `**{@include [DslGrammarTemplate.IgnoreCaseRef]}`] | `{@include [DslGrammarTemplate.RegexRef]}**`)`** * - * {@include [Indent]}`|` {@include [ColumnGroupNameStartsWith]} **`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`,`** {@include [DslGrammarTemplate.IgnoreCaseRef]}`]`**`)`** + * {@include [Indent]}`|` {@include [ColumnGroupNameStartsWith]}__`(`__{@include [DslGrammarTemplate.TextRef]}`[`**`, `**{@include [DslGrammarTemplate.IgnoreCaseRef]}`]`**`)`** * } */ public interface Grammar { From 669b1e8c92edbbf2e0412cda3fe0a71cd2282711 Mon Sep 17 00:00:00 2001 From: Jolan Rensen Date: Thu, 7 Mar 2024 13:40:35 +0100 Subject: [PATCH 04/11] fixing kdocs in update and nulls --- .../dataframe/api/ColumnsSelectionDsl.kt | 4 +- .../jetbrains/kotlinx/dataframe/api/Nulls.kt | 472 ++---------------- .../jetbrains/kotlinx/dataframe/api/select.kt | 8 +- .../jetbrains/kotlinx/dataframe/api/update.kt | 178 ++----- .../documentation/ExpressionsGivenRow.kt | 9 +- .../ExpressionsGivenRowAndColumn.kt | 5 +- .../documentation/SelectingColumns.kt | 31 +- .../jetbrains/kotlinx/dataframe/api/Nulls.kt | 20 +- .../jetbrains/kotlinx/dataframe/api/update.kt | 70 +-- .../documentation/ExpressionsGivenRow.kt | 3 +- .../ExpressionsGivenRowAndColumn.kt | 5 +- .../documentation/SelectingColumns.kt | 11 +- 12 files changed, 198 insertions(+), 618 deletions(-) diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/ColumnsSelectionDsl.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/ColumnsSelectionDsl.kt index a9a70bf50..3c650b889 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/ColumnsSelectionDsl.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/ColumnsSelectionDsl.kt @@ -62,9 +62,9 @@ public annotation class ColumnsSelectionDslMarker * * `df.`[select][DataFrame.select]` { length `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` age }` * - * `df.`[select][DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` + * `df.`[select][DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` * - * `df.`[select][DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` + * `df.`[select][DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` * * * diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/Nulls.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/Nulls.kt index e69b477a5..cd54fe829 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/Nulls.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/Nulls.kt @@ -31,25 +31,25 @@ internal interface FillNulls { *      * * - * [**fillNulls**][fillNulls] **`{ `**[columns][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns]**` }`** + * [**fillNulls**][fillNulls]**` { `**[columns][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns]**` }`** * *      - * `[ .`[**where**][org.jetbrains.kotlinx.dataframe.api.Update.where]**` { `**[rowValueCondition][org.jetbrains.kotlinx.dataframe.documentation.SelectingRows.RowValueCondition.WithExample]**` } `**`]` + * `[ .`[**where**][org.jetbrains.kotlinx.dataframe.api.Update.where]**` { `**[rowValueCondition][org.jetbrains.kotlinx.dataframe.documentation.SelectingRows.RowValueCondition.WithExample]**` } `**`]` * *      * `[ .`[**at**][org.jetbrains.kotlinx.dataframe.api.Update.at]**`(`**[rowIndices][org.jetbrains.kotlinx.dataframe.api.CommonUpdateAtFunctionDoc.RowIndicesParam]**`)`**` ]` * *      - * `.`[**with**][org.jetbrains.kotlinx.dataframe.api.Update.with]**` { `**[rowExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** + * `.`[**with**][org.jetbrains.kotlinx.dataframe.api.Update.with]**` { `**[rowExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** * *      - * `| .`[**notNull**][org.jetbrains.kotlinx.dataframe.api.Update.notNull]**` { `**[rowExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** + * `| .`[**notNull**][org.jetbrains.kotlinx.dataframe.api.Update.notNull]**` { `**[rowExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** * *      - * `| .`[**perCol**][org.jetbrains.kotlinx.dataframe.api.Update.perCol]**` { `**[colExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenColumn.ColumnExpression.WithExample]**` }`** + * `| .`[**perCol**][org.jetbrains.kotlinx.dataframe.api.Update.perCol]**` { `**[colExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenColumn.ColumnExpression.WithExample]**` }`** * *      - * `| .`[**perRowCol**][org.jetbrains.kotlinx.dataframe.api.Update.perRowCol]**` { `**[rowColExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRowAndColumn.RowColumnExpression.WithExample]**` }`** + * `| .`[**perRowCol**][org.jetbrains.kotlinx.dataframe.api.Update.perRowCol]**` { `**[rowColExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRowAndColumn.RowColumnExpression.WithExample]**` }`** * *      * `| .`[**withNull**][org.jetbrains.kotlinx.dataframe.api.Update.withNull]**`()`** @@ -58,7 +58,7 @@ internal interface FillNulls { * `| .`[**withZero**][org.jetbrains.kotlinx.dataframe.api.Update.withZero]**`()`** * *      - * `| .`[**asFrame**][org.jetbrains.kotlinx.dataframe.api.Update.asFrame]**` { `**[dataFrameExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenDataFrame.DataFrameExpression.WithExample]**` }`** + * `| .`[**asFrame**][org.jetbrains.kotlinx.dataframe.api.Update.asFrame]**` { `**[dataFrameExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenDataFrame.DataFrameExpression.WithExample]**` }`** * */ interface Grammar @@ -95,9 +95,9 @@ internal interface FillNulls { * * `df.`[fillNulls][org.jetbrains.kotlinx.dataframe.api.fillNulls]` { length `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` age }` * - * `df.`[fillNulls][org.jetbrains.kotlinx.dataframe.api.fillNulls]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` + * `df.`[fillNulls][org.jetbrains.kotlinx.dataframe.api.fillNulls]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` * - * `df.`[fillNulls][org.jetbrains.kotlinx.dataframe.api.fillNulls]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` + * `df.`[fillNulls][org.jetbrains.kotlinx.dataframe.api.fillNulls]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` * * * #### NOTE: There's also a 'single column' variant used sometimes: [Column Selection DSL][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns.DslSingle.WithExample]. @@ -137,25 +137,7 @@ internal interface FillNulls { private interface SetFillNullsOperationArg -/** - * ## The Fill Nulls Operation - * - * Replaces `null` values with given value or expression. - * Specific case of [update][org.jetbrains.kotlinx.dataframe.api.update]. - * - * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.FillNulls.Grammar] - * - * For more information: [See `fillNulls` on the documentation website.](https://kotlin.github.io/dataframe/fill.html#fillnulls) - * - *      - * - * The columns to update need to be selected. See [Selecting Columns][FillNulls.FillNullsSelectingOptions] - * for all the selecting options. - * - * ### This Fill Nulls Overload - * - */ -private interface CommonFillNullsFunctionDoc + /** * ## The Fill Nulls Operation @@ -199,9 +181,9 @@ private interface CommonFillNullsFunctionDoc * * `df.`[fillNulls][org.jetbrains.kotlinx.dataframe.api.fillNulls]` { length `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` age }` * - * `df.`[fillNulls][org.jetbrains.kotlinx.dataframe.api.fillNulls]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` + * `df.`[fillNulls][org.jetbrains.kotlinx.dataframe.api.fillNulls]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` * - * `df.`[fillNulls][org.jetbrains.kotlinx.dataframe.api.fillNulls]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` + * `df.`[fillNulls][org.jetbrains.kotlinx.dataframe.api.fillNulls]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` * * * @param [columns] The [Columns Selector][org.jetbrains.kotlinx.dataframe.ColumnsSelector] used to select the columns of this [DataFrame][org.jetbrains.kotlinx.dataframe.DataFrame] to update. @@ -347,25 +329,25 @@ internal interface FillNaNs { *      * * - * [fillNaNs][fillNaNs] **`{ `**[columns][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns]**` }`** + * [fillNaNs][fillNaNs]**` { `**[columns][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns]**` }`** * *      - * `[ .`[**where**][org.jetbrains.kotlinx.dataframe.api.Update.where]**` { `**[rowValueCondition][org.jetbrains.kotlinx.dataframe.documentation.SelectingRows.RowValueCondition.WithExample]**` } `**`]` + * `[ .`[**where**][org.jetbrains.kotlinx.dataframe.api.Update.where]**` { `**[rowValueCondition][org.jetbrains.kotlinx.dataframe.documentation.SelectingRows.RowValueCondition.WithExample]**` } `**`]` * *      * `[ .`[**at**][org.jetbrains.kotlinx.dataframe.api.Update.at]**`(`**[rowIndices][org.jetbrains.kotlinx.dataframe.api.CommonUpdateAtFunctionDoc.RowIndicesParam]**`)`**` ]` * *      - * `.`[**with**][org.jetbrains.kotlinx.dataframe.api.Update.with]**` { `**[rowExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** + * `.`[**with**][org.jetbrains.kotlinx.dataframe.api.Update.with]**` { `**[rowExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** * *      - * `| .`[**notNull**][org.jetbrains.kotlinx.dataframe.api.Update.notNull]**` { `**[rowExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** + * `| .`[**notNull**][org.jetbrains.kotlinx.dataframe.api.Update.notNull]**` { `**[rowExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** * *      - * `| .`[**perCol**][org.jetbrains.kotlinx.dataframe.api.Update.perCol]**` { `**[colExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenColumn.ColumnExpression.WithExample]**` }`** + * `| .`[**perCol**][org.jetbrains.kotlinx.dataframe.api.Update.perCol]**` { `**[colExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenColumn.ColumnExpression.WithExample]**` }`** * *      - * `| .`[**perRowCol**][org.jetbrains.kotlinx.dataframe.api.Update.perRowCol]**` { `**[rowColExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRowAndColumn.RowColumnExpression.WithExample]**` }`** + * `| .`[**perRowCol**][org.jetbrains.kotlinx.dataframe.api.Update.perRowCol]**` { `**[rowColExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRowAndColumn.RowColumnExpression.WithExample]**` }`** * *      * `| .`[**withNull**][org.jetbrains.kotlinx.dataframe.api.Update.withNull]**`()`** @@ -374,7 +356,7 @@ internal interface FillNaNs { * `| .`[**withZero**][org.jetbrains.kotlinx.dataframe.api.Update.withZero]**`()`** * *      - * `| .`[**asFrame**][org.jetbrains.kotlinx.dataframe.api.Update.asFrame]**` { `**[dataFrameExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenDataFrame.DataFrameExpression.WithExample]**` }`** + * `| .`[**asFrame**][org.jetbrains.kotlinx.dataframe.api.Update.asFrame]**` { `**[dataFrameExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenDataFrame.DataFrameExpression.WithExample]**` }`** * */ interface Grammar @@ -411,9 +393,9 @@ internal interface FillNaNs { * * `df.`[fillNaNs][org.jetbrains.kotlinx.dataframe.api.fillNaNs]` { length `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` age }` * - * `df.`[fillNaNs][org.jetbrains.kotlinx.dataframe.api.fillNaNs]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` + * `df.`[fillNaNs][org.jetbrains.kotlinx.dataframe.api.fillNaNs]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` * - * `df.`[fillNaNs][org.jetbrains.kotlinx.dataframe.api.fillNaNs]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` + * `df.`[fillNaNs][org.jetbrains.kotlinx.dataframe.api.fillNaNs]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` * * * #### NOTE: There's also a 'single column' variant used sometimes: [Column Selection DSL][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns.DslSingle.WithExample]. @@ -451,26 +433,9 @@ internal interface FillNaNs { interface FillNaNsSelectingOptions } -internal interface SetFillNaNsOperationArg -/** - * ## The Fill NaNs Operation - * - * Replaces [`NaN`][org.jetbrains.kotlinx.dataframe.documentation.NaN] values with given value or expression. - * Specific case of [update][org.jetbrains.kotlinx.dataframe.api.update]. - * - * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.FillNaNs.Grammar] - * - * For more information: [See `fillNaNs` on the documentation website.](https://kotlin.github.io/dataframe/fill.html#fillnans) - * - *      - * - * The columns to update need to be selected. See [Selecting Columns][FillNaNs.FillNaNsSelectingOptions] - * for all the selecting options. - * - * ### This Fill NaNs Overload - */ -private interface CommonFillNaNsFunctionDoc + + /** * ## The Fill NaNs Operation @@ -513,9 +478,9 @@ private interface CommonFillNaNsFunctionDoc * * `df.`[fillNaNs][org.jetbrains.kotlinx.dataframe.api.fillNaNs]` { length `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` age }` * - * `df.`[fillNaNs][org.jetbrains.kotlinx.dataframe.api.fillNaNs]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` + * `df.`[fillNaNs][org.jetbrains.kotlinx.dataframe.api.fillNaNs]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` * - * `df.`[fillNaNs][org.jetbrains.kotlinx.dataframe.api.fillNaNs]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` + * `df.`[fillNaNs][org.jetbrains.kotlinx.dataframe.api.fillNaNs]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` * * * @param [columns] The [Columns Selector][org.jetbrains.kotlinx.dataframe.ColumnsSelector] used to select the columns of this [DataFrame][org.jetbrains.kotlinx.dataframe.DataFrame] to update. @@ -638,25 +603,25 @@ internal interface FillNA { *      * * - * [fillNA][fillNA] **`{ `**[columns][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns]**` }`** + * [fillNA][fillNA]**` { `**[columns][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns]**` }`** * *      - * `[ .`[**where**][org.jetbrains.kotlinx.dataframe.api.Update.where]**` { `**[rowValueCondition][org.jetbrains.kotlinx.dataframe.documentation.SelectingRows.RowValueCondition.WithExample]**` } `**`]` + * `[ .`[**where**][org.jetbrains.kotlinx.dataframe.api.Update.where]**` { `**[rowValueCondition][org.jetbrains.kotlinx.dataframe.documentation.SelectingRows.RowValueCondition.WithExample]**` } `**`]` * *      * `[ .`[**at**][org.jetbrains.kotlinx.dataframe.api.Update.at]**`(`**[rowIndices][org.jetbrains.kotlinx.dataframe.api.CommonUpdateAtFunctionDoc.RowIndicesParam]**`)`**` ]` * *      - * `.`[**with**][org.jetbrains.kotlinx.dataframe.api.Update.with]**` { `**[rowExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** + * `.`[**with**][org.jetbrains.kotlinx.dataframe.api.Update.with]**` { `**[rowExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** * *      - * `| .`[**notNull**][org.jetbrains.kotlinx.dataframe.api.Update.notNull]**` { `**[rowExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** + * `| .`[**notNull**][org.jetbrains.kotlinx.dataframe.api.Update.notNull]**` { `**[rowExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** * *      - * `| .`[**perCol**][org.jetbrains.kotlinx.dataframe.api.Update.perCol]**` { `**[colExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenColumn.ColumnExpression.WithExample]**` }`** + * `| .`[**perCol**][org.jetbrains.kotlinx.dataframe.api.Update.perCol]**` { `**[colExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenColumn.ColumnExpression.WithExample]**` }`** * *      - * `| .`[**perRowCol**][org.jetbrains.kotlinx.dataframe.api.Update.perRowCol]**` { `**[rowColExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRowAndColumn.RowColumnExpression.WithExample]**` }`** + * `| .`[**perRowCol**][org.jetbrains.kotlinx.dataframe.api.Update.perRowCol]**` { `**[rowColExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRowAndColumn.RowColumnExpression.WithExample]**` }`** * *      * `| .`[**withNull**][org.jetbrains.kotlinx.dataframe.api.Update.withNull]**`()`** @@ -665,7 +630,7 @@ internal interface FillNA { * `| .`[**withZero**][org.jetbrains.kotlinx.dataframe.api.Update.withZero]**`()`** * *      - * `| .`[**asFrame**][org.jetbrains.kotlinx.dataframe.api.Update.asFrame]**` { `**[dataFrameExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenDataFrame.DataFrameExpression.WithExample]**` }`** + * `| .`[**asFrame**][org.jetbrains.kotlinx.dataframe.api.Update.asFrame]**` { `**[dataFrameExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenDataFrame.DataFrameExpression.WithExample]**` }`** * */ interface Grammar @@ -702,9 +667,9 @@ internal interface FillNA { * * `df.`[fillNA][org.jetbrains.kotlinx.dataframe.api.fillNA]` { length `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` age }` * - * `df.`[fillNA][org.jetbrains.kotlinx.dataframe.api.fillNA]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` + * `df.`[fillNA][org.jetbrains.kotlinx.dataframe.api.fillNA]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` * - * `df.`[fillNA][org.jetbrains.kotlinx.dataframe.api.fillNA]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` + * `df.`[fillNA][org.jetbrains.kotlinx.dataframe.api.fillNA]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` * * * #### NOTE: There's also a 'single column' variant used sometimes: [Column Selection DSL][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns.DslSingle.WithExample]. @@ -742,26 +707,9 @@ internal interface FillNA { interface FillNASelectingOptions } -internal interface SetFillNAOperationArg -/** - * ## The Fill NA Operation - * - * Replaces [`NA`][org.jetbrains.kotlinx.dataframe.documentation.NA] values with given value or expression. - * Specific case of [update][org.jetbrains.kotlinx.dataframe.api.update]. - * - * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.FillNA.Grammar] - * - * For more information: [See `fillNA` on the documentation website.](https://kotlin.github.io/dataframe/fill.html#fillna) - * - *      - * - * The columns to update need to be selected. See [Selecting Columns][FillNA.FillNASelectingOptions] - * for all the selecting options. - * - * ### This Fill NA Overload - */ -private interface CommonFillNAFunctionDoc + + /** * ## The Fill NA Operation @@ -804,9 +752,9 @@ private interface CommonFillNAFunctionDoc * * `df.`[fillNA][org.jetbrains.kotlinx.dataframe.api.fillNA]` { length `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` age }` * - * `df.`[fillNA][org.jetbrains.kotlinx.dataframe.api.fillNA]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` + * `df.`[fillNA][org.jetbrains.kotlinx.dataframe.api.fillNA]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` * - * `df.`[fillNA][org.jetbrains.kotlinx.dataframe.api.fillNA]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` + * `df.`[fillNA][org.jetbrains.kotlinx.dataframe.api.fillNA]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` * * * @param [columns] The [Columns Selector][org.jetbrains.kotlinx.dataframe.ColumnsSelector] used to select the columns of this [DataFrame][org.jetbrains.kotlinx.dataframe.DataFrame] to update. @@ -906,129 +854,21 @@ public fun DataFrame.fillNA(vararg columns: ColumnReference): Updat // endregion -/** @param columns The [Columns Selector][ColumnsSelector] used to select the columns of this [DataFrame] to drop rows in. */ -private interface DropDslParam -/** @param columns The [KProperties][KProperty] used to select the columns of this [DataFrame] to drop rows in. */ -private interface DropKPropertiesParam -/** @param columns The [Strings][String] corresponding to the names of colums in this [DataFrame] to drop rows in. */ -private interface DropColumnNamesParam -/** @param columns The [Column References][ColumnReference] used to select the columns of this [DataFrame] to drop rows in. */ -private interface DropColumnAccessorsParam + + + + // region dropNulls -/** - * ## The Drop Nulls Operation - * - * Removes rows with `null` values. Specific case of [drop][DataFrame.drop]. - * - * Optionally, you can select which columns to operate on (see [Selecting Columns][DropNullsSelectingOptions]). - * - * Also, you can supply `whereAllNull = true` to only drop rows where all selected cells are `null`. By default, - * rows are dropped if any of the selected cells are `null`. - * - * For more information: [See `dropNulls` on the documentation website.](https://kotlin.github.io/dataframe/drop.html#dropnulls) - */ -internal interface DropNulls { - /** - * @param whereAllNull `false` by default. - * If `true`, rows are dropped if all selected cells are `null`. - * If `false`, rows are dropped if any of the selected cells is `null`. - */ - interface WhereAllNullParam - /** - * - * ## Selecting Columns - * Selecting columns for various operations (including but not limited to - * [DataFrame.select][org.jetbrains.kotlinx.dataframe.DataFrame.select], [DataFrame.update][org.jetbrains.kotlinx.dataframe.DataFrame.update], [DataFrame.gather][org.jetbrains.kotlinx.dataframe.DataFrame.gather], and [DataFrame.fillNulls][org.jetbrains.kotlinx.dataframe.DataFrame.fillNulls]) - * can be done in the following ways: - * ### 1. [Columns Selection DSL][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns.Dsl.WithExample] - * Select or express columns using the [Columns Selection DSL][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl]. - * (Any (combination of) [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]). - * - * This DSL is initiated by a [Columns Selector][org.jetbrains.kotlinx.dataframe.ColumnsSelector] lambda, - * which operates in the context of the [Columns Selection DSL][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl] and - * expects you to return a [SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn] or [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] (so, a [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver]). - * This is an entity formed by calling any (combination) of the functions - * in the DSL that is or can be resolved into one or more columns. - * - * #### NOTE: - * While you can use the [String API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi.StringApi] and [KProperties API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi.KPropertiesApi] - * in this DSL directly with any function, they are NOT valid return types for the - * [Columns Selector][org.jetbrains.kotlinx.dataframe.ColumnsSelector] lambda. You'd need to turn them into a [ColumnReference][org.jetbrains.kotlinx.dataframe.columns.ColumnReference] first, for instance - * with a function like [`col("name")`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.col]. - * - * ### Check out: [Columns Selection DSL Grammar][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.DslGrammar] - * - *      - * - * [See Column Selectors on the documentation website.](https://kotlin.github.io/dataframe/columnselectors.html) - * - * #### For example: - * - * `df.`[dropNulls][org.jetbrains.kotlinx.dataframe.api.dropNulls]` { length `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` age }` - * - * `df.`[dropNulls][org.jetbrains.kotlinx.dataframe.api.dropNulls]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` - * - * `df.`[dropNulls][org.jetbrains.kotlinx.dataframe.api.dropNulls]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` - * - * - * #### NOTE: There's also a 'single column' variant used sometimes: [Column Selection DSL][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns.DslSingle.WithExample]. - * ### 2. [Column names][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns.ColumnNames.WithExample] - * Select columns using their [column names][String] - * ([String API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi.StringApi]). - * - * #### For example: - * - * `df.`[dropNulls][org.jetbrains.kotlinx.dataframe.api.dropNulls]`("length", "age")` - * - * ### 3. [Column references][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns.ColumnAccessors.WithExample] - * Select columns using [column accessors][org.jetbrains.kotlinx.dataframe.columns.ColumnReference] - * ([Column Accessors API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi.ColumnAccessorsApi]). - * - * #### For example: - * - * `val length by `[column][org.jetbrains.kotlinx.dataframe.api.column]`<`[Double][Double]`>()` - * - * `val age by `[column][org.jetbrains.kotlinx.dataframe.api.column]`<`[Double][Double]`>()` - * - * `df.`[dropNulls][org.jetbrains.kotlinx.dataframe.api.dropNulls]`(length, age)` - * - * ### 4. [KProperties][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns.KProperties.WithExample] - * Select columns using [KProperties][KProperty] ([KProperties API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi.KPropertiesApi]). - * - * #### For example: - * ```kotlin - * data class Person(val length: Double, val age: Double) - * ``` - * - * `df.`[dropNulls][org.jetbrains.kotlinx.dataframe.api.dropNulls]`(Person::length, Person::age)` - * - */ - interface DropNullsSelectingOptions -} -private interface SetDropNullsOperationArg -/** - * ## The Drop Nulls Operation - * - * Removes rows with `null` values. Specific case of [drop][org.jetbrains.kotlinx.dataframe.DataFrame.drop]. - * - * Optionally, you can select which columns to operate on (see [Selecting Columns][org.jetbrains.kotlinx.dataframe.api.DropNulls.DropNullsSelectingOptions]). - * - * Also, you can supply `whereAllNull = true` to only drop rows where all selected cells are `null`. By default, - * rows are dropped if any of the selected cells are `null`. - * - * For more information: [See `dropNulls` on the documentation website.](https://kotlin.github.io/dataframe/drop.html#dropnulls) - * ### This Drop Nulls Overload - */ -private interface CommonDropNullsFunctionDoc + /** * ## The Drop Nulls Operation @@ -1067,9 +907,9 @@ private interface CommonDropNullsFunctionDoc * * `df.`[dropNulls][org.jetbrains.kotlinx.dataframe.api.dropNulls]` { length `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` age }` * - * `df.`[dropNulls][org.jetbrains.kotlinx.dataframe.api.dropNulls]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` + * `df.`[dropNulls][org.jetbrains.kotlinx.dataframe.api.dropNulls]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` * - * `df.`[dropNulls][org.jetbrains.kotlinx.dataframe.api.dropNulls]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` + * `df.`[dropNulls][org.jetbrains.kotlinx.dataframe.api.dropNulls]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` * * * `df.`[dropNulls][dropNulls]`(whereAllNull = true) { `[colsOf][colsOf]`<`[Double][Double]`>() }` @@ -1157,7 +997,7 @@ public fun DataFrame.dropNulls(vararg columns: KProperty<*>, whereAllNull * @param whereAllNull `false` by default. * If `true`, rows are dropped if all selected cells are `null`. * If `false`, rows are dropped if any of the selected cells is `null`. - * @param columns The [Strings][String] corresponding to the names of colums in this [DataFrame][org.jetbrains.kotlinx.dataframe.DataFrame] to drop rows in. + * @param columns The [Strings][String] corresponding to the names of columns in this [DataFrame][org.jetbrains.kotlinx.dataframe.DataFrame] to drop rows in. */ public fun DataFrame.dropNulls(vararg columns: String, whereAllNull: Boolean = false): DataFrame = dropNulls(whereAllNull) { columns.toColumnSet() } @@ -1206,113 +1046,11 @@ public fun DataColumn.dropNulls(): DataColumn = // region dropNA -/** - * ## The Drop `NA` Operation - * - * Removes rows with [`NA`][NA] values. Specific case of [drop][DataFrame.drop]. - * - * Optionally, you can select which columns to operate on (see [Selecting Columns][DropNASelectingOptions]). - * Also, you can supply `whereAllNA = true` to only drop rows where all selected cells are [`NA`][NA]. By default, - * rows are dropped if any of the selected cells are [`NA`][NA]. - * - * For more information: [See `dropNA` on the documentation website.](https://kotlin.github.io/dataframe/drop.html#dropna) - */ -internal interface DropNA { - /** - * @param whereAllNA `false` by default. - * If `true`, rows are dropped if all selected cells are [`NA`][NA]. - * If `false`, rows are dropped if any of the selected cells is [`NA`][NA]. - */ - interface WhereAllNAParam - /** - * - * ## Selecting Columns - * Selecting columns for various operations (including but not limited to - * [DataFrame.select][org.jetbrains.kotlinx.dataframe.DataFrame.select], [DataFrame.update][org.jetbrains.kotlinx.dataframe.DataFrame.update], [DataFrame.gather][org.jetbrains.kotlinx.dataframe.DataFrame.gather], and [DataFrame.fillNulls][org.jetbrains.kotlinx.dataframe.DataFrame.fillNulls]) - * can be done in the following ways: - * ### 1. [Columns Selection DSL][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns.Dsl.WithExample] - * Select or express columns using the [Columns Selection DSL][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl]. - * (Any (combination of) [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]). - * - * This DSL is initiated by a [Columns Selector][org.jetbrains.kotlinx.dataframe.ColumnsSelector] lambda, - * which operates in the context of the [Columns Selection DSL][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl] and - * expects you to return a [SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn] or [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] (so, a [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver]). - * This is an entity formed by calling any (combination) of the functions - * in the DSL that is or can be resolved into one or more columns. - * - * #### NOTE: - * While you can use the [String API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi.StringApi] and [KProperties API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi.KPropertiesApi] - * in this DSL directly with any function, they are NOT valid return types for the - * [Columns Selector][org.jetbrains.kotlinx.dataframe.ColumnsSelector] lambda. You'd need to turn them into a [ColumnReference][org.jetbrains.kotlinx.dataframe.columns.ColumnReference] first, for instance - * with a function like [`col("name")`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.col]. - * - * ### Check out: [Columns Selection DSL Grammar][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.DslGrammar] - * - *      - * - * [See Column Selectors on the documentation website.](https://kotlin.github.io/dataframe/columnselectors.html) - * - * #### For example: - * - * `df.`[dropNA][org.jetbrains.kotlinx.dataframe.api.dropNA]` { length `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` age }` - * - * `df.`[dropNA][org.jetbrains.kotlinx.dataframe.api.dropNA]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` - * - * `df.`[dropNA][org.jetbrains.kotlinx.dataframe.api.dropNA]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` - * - * - * #### NOTE: There's also a 'single column' variant used sometimes: [Column Selection DSL][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns.DslSingle.WithExample]. - * ### 2. [Column names][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns.ColumnNames.WithExample] - * Select columns using their [column names][String] - * ([String API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi.StringApi]). - * - * #### For example: - * - * `df.`[dropNA][org.jetbrains.kotlinx.dataframe.api.dropNA]`("length", "age")` - * - * ### 3. [Column references][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns.ColumnAccessors.WithExample] - * Select columns using [column accessors][org.jetbrains.kotlinx.dataframe.columns.ColumnReference] - * ([Column Accessors API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi.ColumnAccessorsApi]). - * - * #### For example: - * - * `val length by `[column][org.jetbrains.kotlinx.dataframe.api.column]`<`[Double][Double]`>()` - * - * `val age by `[column][org.jetbrains.kotlinx.dataframe.api.column]`<`[Double][Double]`>()` - * - * `df.`[dropNA][org.jetbrains.kotlinx.dataframe.api.dropNA]`(length, age)` - * - * ### 4. [KProperties][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns.KProperties.WithExample] - * Select columns using [KProperties][KProperty] ([KProperties API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi.KPropertiesApi]). - * - * #### For example: - * ```kotlin - * data class Person(val length: Double, val age: Double) - * ``` - * - * `df.`[dropNA][org.jetbrains.kotlinx.dataframe.api.dropNA]`(Person::length, Person::age)` - * - */ - interface DropNASelectingOptions -} -private interface SetDropNAOperationArg -/** - * ## The Drop `NA` Operation - * - * Removes rows with [`NA`][org.jetbrains.kotlinx.dataframe.documentation.NA] values. Specific case of [drop][org.jetbrains.kotlinx.dataframe.DataFrame.drop]. - * - * Optionally, you can select which columns to operate on (see [Selecting Columns][org.jetbrains.kotlinx.dataframe.api.DropNA.DropNASelectingOptions]). - * Also, you can supply `whereAllNA = true` to only drop rows where all selected cells are [`NA`][org.jetbrains.kotlinx.dataframe.documentation.NA]. By default, - * rows are dropped if any of the selected cells are [`NA`][org.jetbrains.kotlinx.dataframe.documentation.NA]. - * - * For more information: [See `dropNA` on the documentation website.](https://kotlin.github.io/dataframe/drop.html#dropna) - * ### This Drop NA Overload - */ -private interface CommonDropNAFunctionDoc + /** * ## The Drop `NA` Operation @@ -1350,9 +1088,9 @@ private interface CommonDropNAFunctionDoc * * `df.`[dropNA][org.jetbrains.kotlinx.dataframe.api.dropNA]` { length `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` age }` * - * `df.`[dropNA][org.jetbrains.kotlinx.dataframe.api.dropNA]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` + * `df.`[dropNA][org.jetbrains.kotlinx.dataframe.api.dropNA]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` * - * `df.`[dropNA][org.jetbrains.kotlinx.dataframe.api.dropNA]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` + * `df.`[dropNA][org.jetbrains.kotlinx.dataframe.api.dropNA]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` * * * `df.`[dropNA][dropNA]`(whereAllNA = true) { `[colsOf][colsOf]`<`[Double][Double]`>() }` @@ -1418,7 +1156,7 @@ public fun DataFrame.dropNA(vararg columns: KProperty<*>, whereAllNA: Boo * @param whereAllNA `false` by default. * If `true`, rows are dropped if all selected cells are [`NA`][org.jetbrains.kotlinx.dataframe.documentation.NA]. * If `false`, rows are dropped if any of the selected cells is [`NA`][org.jetbrains.kotlinx.dataframe.documentation.NA]. - * @param columns The [Strings][String] corresponding to the names of colums in this [DataFrame][org.jetbrains.kotlinx.dataframe.DataFrame] to drop rows in. + * @param columns The [Strings][String] corresponding to the names of columns in this [DataFrame][org.jetbrains.kotlinx.dataframe.DataFrame] to drop rows in. */ public fun DataFrame.dropNA(vararg columns: String, whereAllNA: Boolean = false): DataFrame = dropNA(whereAllNA) { columns.toColumnSet() } @@ -1488,113 +1226,11 @@ public fun DataColumn.dropNA(): DataColumn = // region dropNaNs -/** - * ## The Drop `NaN` Operation - * - * Removes rows with [`NaN`][Double.isNaN] values. Specific case of [drop][DataFrame.drop]. - * - * Optionally, you can select which columns to operate on (see [Selecting Columns][DropNaNsSelectingOptions]). - * Also, you can supply `whereAllNaN = true` to only drop rows where all selected cells are [`NaN`][Double.isNaN]. By default, - * rows are dropped if any of the selected cells are [`NaN`][Double.isNaN]. - * - * For more information: [See `dropNaNs` on the documentation website.](https://kotlin.github.io/dataframe/drop.html#dropnans) - */ -internal interface DropNaNs { - /** - * @param whereAllNaN `false` by default. - * If `true`, rows are dropped if all selected cells are [`NaN`][Double.isNaN]. - * If `false`, rows are dropped if any of the selected cells is [`NaN`][Double.isNaN]. - */ - interface WhereAllNaNParam - /** - * - * ## Selecting Columns - * Selecting columns for various operations (including but not limited to - * [DataFrame.select][org.jetbrains.kotlinx.dataframe.DataFrame.select], [DataFrame.update][org.jetbrains.kotlinx.dataframe.DataFrame.update], [DataFrame.gather][org.jetbrains.kotlinx.dataframe.DataFrame.gather], and [DataFrame.fillNulls][org.jetbrains.kotlinx.dataframe.DataFrame.fillNulls]) - * can be done in the following ways: - * ### 1. [Columns Selection DSL][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns.Dsl.WithExample] - * Select or express columns using the [Columns Selection DSL][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl]. - * (Any (combination of) [Access API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi]). - * - * This DSL is initiated by a [Columns Selector][org.jetbrains.kotlinx.dataframe.ColumnsSelector] lambda, - * which operates in the context of the [Columns Selection DSL][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl] and - * expects you to return a [SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn] or [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] (so, a [ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver]). - * This is an entity formed by calling any (combination) of the functions - * in the DSL that is or can be resolved into one or more columns. - * - * #### NOTE: - * While you can use the [String API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi.StringApi] and [KProperties API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi.KPropertiesApi] - * in this DSL directly with any function, they are NOT valid return types for the - * [Columns Selector][org.jetbrains.kotlinx.dataframe.ColumnsSelector] lambda. You'd need to turn them into a [ColumnReference][org.jetbrains.kotlinx.dataframe.columns.ColumnReference] first, for instance - * with a function like [`col("name")`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.col]. - * - * ### Check out: [Columns Selection DSL Grammar][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.DslGrammar] - * - *      - * - * [See Column Selectors on the documentation website.](https://kotlin.github.io/dataframe/columnselectors.html) - * - * #### For example: - * - * `df.`[dropNaNs][org.jetbrains.kotlinx.dataframe.api.dropNaNs]` { length `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` age }` - * - * `df.`[dropNaNs][org.jetbrains.kotlinx.dataframe.api.dropNaNs]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` - * - * `df.`[dropNaNs][org.jetbrains.kotlinx.dataframe.api.dropNaNs]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` - * - * - * #### NOTE: There's also a 'single column' variant used sometimes: [Column Selection DSL][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns.DslSingle.WithExample]. - * ### 2. [Column names][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns.ColumnNames.WithExample] - * Select columns using their [column names][String] - * ([String API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi.StringApi]). - * - * #### For example: - * - * `df.`[dropNaNs][org.jetbrains.kotlinx.dataframe.api.dropNaNs]`("length", "age")` - * - * ### 3. [Column references][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns.ColumnAccessors.WithExample] - * Select columns using [column accessors][org.jetbrains.kotlinx.dataframe.columns.ColumnReference] - * ([Column Accessors API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi.ColumnAccessorsApi]). - * - * #### For example: - * - * `val length by `[column][org.jetbrains.kotlinx.dataframe.api.column]`<`[Double][Double]`>()` - * - * `val age by `[column][org.jetbrains.kotlinx.dataframe.api.column]`<`[Double][Double]`>()` - * - * `df.`[dropNaNs][org.jetbrains.kotlinx.dataframe.api.dropNaNs]`(length, age)` - * - * ### 4. [KProperties][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns.KProperties.WithExample] - * Select columns using [KProperties][KProperty] ([KProperties API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi.KPropertiesApi]). - * - * #### For example: - * ```kotlin - * data class Person(val length: Double, val age: Double) - * ``` - * - * `df.`[dropNaNs][org.jetbrains.kotlinx.dataframe.api.dropNaNs]`(Person::length, Person::age)` - * - */ - interface DropNaNsSelectingOptions -} -private interface SetDropNaNsOperationArg -/** - * ## The Drop `NaN` Operation - * - * Removes rows with [`NaN`][Double.isNaN] values. Specific case of [drop][org.jetbrains.kotlinx.dataframe.DataFrame.drop]. - * - * Optionally, you can select which columns to operate on (see [Selecting Columns][org.jetbrains.kotlinx.dataframe.api.DropNaNs.DropNaNsSelectingOptions]). - * Also, you can supply `whereAllNaN = true` to only drop rows where all selected cells are [`NaN`][Double.isNaN]. By default, - * rows are dropped if any of the selected cells are [`NaN`][Double.isNaN]. - * - * For more information: [See `dropNaNs` on the documentation website.](https://kotlin.github.io/dataframe/drop.html#dropnans) - * ### This Drop NaNs Overload - */ -private interface CommonDropNaNsFunctionDoc + /** * ## The Drop `NaN` Operation @@ -1632,9 +1268,9 @@ private interface CommonDropNaNsFunctionDoc * * `df.`[dropNaNs][org.jetbrains.kotlinx.dataframe.api.dropNaNs]` { length `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` age }` * - * `df.`[dropNaNs][org.jetbrains.kotlinx.dataframe.api.dropNaNs]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` + * `df.`[dropNaNs][org.jetbrains.kotlinx.dataframe.api.dropNaNs]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` * - * `df.`[dropNaNs][org.jetbrains.kotlinx.dataframe.api.dropNaNs]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` + * `df.`[dropNaNs][org.jetbrains.kotlinx.dataframe.api.dropNaNs]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` * * * `df.`[dropNaNs][dropNaNs]`(whereAllNaN = true) { `[colsOf][colsOf]`<`[Double][Double]`>() }` @@ -1700,7 +1336,7 @@ public fun DataFrame.dropNaNs(vararg columns: KProperty<*>, whereAllNaN: * @param whereAllNaN `false` by default. * If `true`, rows are dropped if all selected cells are [`NaN`][Double.isNaN]. * If `false`, rows are dropped if any of the selected cells is [`NaN`][Double.isNaN]. - * @param columns The [Strings][String] corresponding to the names of colums in this [DataFrame][org.jetbrains.kotlinx.dataframe.DataFrame] to drop rows in. + * @param columns The [Strings][String] corresponding to the names of columns in this [DataFrame][org.jetbrains.kotlinx.dataframe.DataFrame] to drop rows in. */ public fun DataFrame.dropNaNs(vararg columns: String, whereAllNaN: Boolean = false): DataFrame = dropNaNs(whereAllNaN) { columns.toColumnSet() } diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/select.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/select.kt index 331fc61a6..d87ebe2fb 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/select.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/select.kt @@ -71,9 +71,9 @@ internal interface Select { * * `df.`[select][org.jetbrains.kotlinx.dataframe.api.select]` { length `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` age }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` * * * #### NOTE: There's also a 'single column' variant used sometimes: [Column Selection DSL][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns.DslSingle.WithExample]. @@ -159,9 +159,9 @@ private interface CommonSelectDocs * * `df.`[select][org.jetbrains.kotlinx.dataframe.api.select]` { length `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` age }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` * * * @param [columns] The [Columns Selector][ColumnsSelector] used to select the columns of this [DataFrame]. diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/update.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/update.kt index 6ecdc6c02..6b03667ff 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/update.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/update.kt @@ -14,6 +14,7 @@ import org.jetbrains.kotlinx.dataframe.columns.ColumnReference import org.jetbrains.kotlinx.dataframe.columns.toColumnSet import org.jetbrains.kotlinx.dataframe.documentation.DocumentationUrls import org.jetbrains.kotlinx.dataframe.documentation.DslGrammarLink +import org.jetbrains.kotlinx.dataframe.documentation.ExcludeFromSources import org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenColumn import org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenDataFrame import org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRow @@ -37,7 +38,7 @@ import kotlin.reflect.KProperty * ## The Update Operation * * Returns the [DataFrame] with changed values in some cells - * (column types can not be changed). + * (column types cannot be changed). * * ### Check out: [Grammar] * @@ -51,11 +52,7 @@ public data class Update( public fun cast(): Update = Update(df, filter as RowValueFilter?, columns as ColumnsSelector) - /* - * This argument providing the (clickable) name of the update-like function. - * Note: If clickable, make sure to [alias][your type]. - */ - internal interface UpdateOperationArg + /** * ## [**update**][update] Operation Grammar @@ -67,25 +64,25 @@ public data class Update( *      * * - * [**update**][update] **`{ `**[columns][SelectingColumns]**` }`** + * [**update**][update]**` { `**[columns][SelectingColumns]**` }`** * *      - * `[ .`[**where**][Update.where]**` { `**[rowValueCondition][SelectingRows.RowValueCondition.WithExample]**` } `**`]` + * `[ .`[**where**][Update.where]**` { `**[rowValueCondition][SelectingRows.RowValueCondition.WithExample]**` } `**`]` * *      * `[ .`[**at**][Update.at]**`(`**[rowIndices][CommonUpdateAtFunctionDoc.RowIndicesParam]**`)`**` ]` * *      - * `.`[**with**][Update.with]**` { `**[rowExpression][ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** + * `.`[**with**][Update.with]**` { `**[rowExpression][ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** * *      - * `| .`[**notNull**][Update.notNull]**` { `**[rowExpression][ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** + * `| .`[**notNull**][Update.notNull]**` { `**[rowExpression][ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** * *      - * `| .`[**perCol**][Update.perCol]**` { `**[colExpression][ExpressionsGivenColumn.ColumnExpression.WithExample]**` }`** + * `| .`[**perCol**][Update.perCol]**` { `**[colExpression][ExpressionsGivenColumn.ColumnExpression.WithExample]**` }`** * *      - * `| .`[**perRowCol**][Update.perRowCol]**` { `**[rowColExpression][ExpressionsGivenRowAndColumn.RowColumnExpression.WithExample]**` }`** + * `| .`[**perRowCol**][Update.perRowCol]**` { `**[rowColExpression][ExpressionsGivenRowAndColumn.RowColumnExpression.WithExample]**` }`** * *      * `| .`[**withNull**][Update.withNull]**`()`** @@ -94,7 +91,7 @@ public data class Update( * `| .`[**withZero**][Update.withZero]**`()`** * *      - * `| .`[**asFrame**][Update.asFrame]**` { `**[dataFrameExpression][ExpressionsGivenDataFrame.DataFrameExpression.WithExample]**` }`** + * `| .`[**asFrame**][Update.asFrame]**` { `**[dataFrameExpression][ExpressionsGivenDataFrame.DataFrameExpression.WithExample]**` }`** * * */ @@ -142,9 +139,9 @@ public data class Update( * * `df.`[update][org.jetbrains.kotlinx.dataframe.api.update]` { length `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` age }` * - * `df.`[update][org.jetbrains.kotlinx.dataframe.api.update]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` + * `df.`[update][org.jetbrains.kotlinx.dataframe.api.update]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` * - * `df.`[update][org.jetbrains.kotlinx.dataframe.api.update]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` + * `df.`[update][org.jetbrains.kotlinx.dataframe.api.update]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` * * * #### NOTE: There's also a 'single column' variant used sometimes: [Column Selection DSL][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns.DslSingle.WithExample]. @@ -196,38 +193,17 @@ public data class Update( // region update -private interface SetSelectingColumnsOperationArg -/** - * ## The Update Operation - * - * Returns the [DataFrame][org.jetbrains.kotlinx.dataframe.DataFrame] with changed values in some cells - * (column types can not be changed). - * - * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.Update.Grammar] - * - * For more information: [See `update` on the documentation website.](https://kotlin.github.io/dataframe/update.html) - * - *      - * - * The columns to update need to be selected. See [Selecting Columns][org.jetbrains.kotlinx.dataframe.api.Update.UpdateSelectingOptions] - * for all the selecting options. - * ### This Update Overload - */ -private interface CommonUpdateFunctionDoc -/** - * ## Optional - * Combine `df.`[update][update]`(...).`[with][Update.with]` { ... }` - * into `df.`[update][update]`(...) { ... }` - */ -private interface UpdateWithNote + + + /** * ## The Update Operation * * Returns the [DataFrame][org.jetbrains.kotlinx.dataframe.DataFrame] with changed values in some cells - * (column types can not be changed). + * (column types cannot be changed). * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.Update.Grammar] * @@ -263,9 +239,9 @@ private interface UpdateWithNote * * `df.`[update][org.jetbrains.kotlinx.dataframe.api.update]` { length `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` age }` * - * `df.`[update][org.jetbrains.kotlinx.dataframe.api.update]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` + * `df.`[update][org.jetbrains.kotlinx.dataframe.api.update]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` * - * `df.`[update][org.jetbrains.kotlinx.dataframe.api.update]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` + * `df.`[update][org.jetbrains.kotlinx.dataframe.api.update]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` * * * @param [columns] The [Columns Selector][org.jetbrains.kotlinx.dataframe.ColumnsSelector] used to select the columns of this [DataFrame][org.jetbrains.kotlinx.dataframe.DataFrame] to update. @@ -277,7 +253,7 @@ public fun DataFrame.update(columns: ColumnsSelector): Update DataFrame.update(vararg columns: String): Update = up * ## The Update Operation * * Returns the [DataFrame][org.jetbrains.kotlinx.dataframe.DataFrame] with changed values in some cells - * (column types can not be changed). + * (column types cannot be changed). * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.Update.Grammar] * @@ -337,7 +313,7 @@ public fun DataFrame.update(vararg columns: KProperty): Update DataFrame.update(vararg columns: ColumnReference): Updat public fun Update.where(predicate: RowValueFilter): Update = copy(filter = filter and predicate) -/** ## At - * Only update the columns at certain given [row indices][CommonUpdateAtFunctionDoc.RowIndicesParam]: - * - * Either a [Collection]<[Int]>, an [IntRange], or just `vararg` indices. - * - * For example: - * - * `df.`[update][update]` { city }.`[at][at]`(5..10).`[with][with]` { "Paris" }` - * - * `df.`[update][update]` { name }.`[at][at]`(1, 2, 3, 4).`[with][with]` { "Empty" }` - * - * ### This At Overload - */ -private interface CommonUpdateAtFunctionDoc { - /** The indices of the rows to update. Either a [Collection]<[Int]>, an [IntRange], or just `vararg` indices. */ - interface RowIndicesParam -} /** * ## At @@ -473,7 +432,7 @@ public fun Update.at(rowRange: IntRange): Update = where { in * * `df.`[update][update]` { age }.`[perRowCol][perRowCol]` { row, col ->` * - * `row.age / col.`[mean][org.jetbrains.kotlinx.dataframe.DataColumn.mean]`(skipNA = true)` + *     `row.age / col.`[mean][org.jetbrains.kotlinx.dataframe.DataColumn.mean]`(skipNA = true)` * * `}` * @@ -488,8 +447,7 @@ public fun Update.at(rowRange: IntRange): Update = where { in public fun Update.perRowCol(expression: RowColumnExpression): DataFrame = updateImpl { row, column, _ -> expression(row, column) } -/** [Update per row col][Update.perRowCol] to provide a new value for every selected cell giving its row and column. */ -private interface SeeAlsoPerRowCol + /** ## Update Expression * @see ExpressionsGivenRow.RowValueExpression.WithExample @@ -524,8 +482,7 @@ public fun Update.with(expression: UpdateExpression): Dat expression(row, value) } -/** [Update with][Update.with] to provide a new value for every selected cell giving its row. */ -private interface SeeAlsoWith + /** ## As Frame * @@ -549,48 +506,11 @@ public fun Update>.asFrame(expression: DataFrameExpressi ) public fun Update.asNullable(): Update = this as Update -/** ## Per Col - * - * Per Col can be used for two different types of operations: - * - Provide a new value for every selected cell given its column using a [column expression][org.jetbrains.kotlinx.dataframe.ColumnExpression]. - * - Provide a new value for every selected cell per column using a [Map][Map]`<`[colName: String][String]`, value: C>` - * or [DataRow][org.jetbrains.kotlinx.dataframe.DataRow] as Map. - * - * ### See Also - * - [Update with][org.jetbrains.kotlinx.dataframe.api.Update.with] to provide a new value for every selected cell giving its row. - * - [Update per row col][org.jetbrains.kotlinx.dataframe.api.Update.perRowCol] to provide a new value for every selected cell giving its row and column. - * ### This Per Col Overload - */ -private interface CommonUpdatePerColDoc -/** Provide a new value for every selected cell per column using a [Map][Map]`<`[colName: String][String]`, value: C>` - * or [DataRow][DataRow] as Map. */ -private interface UpdatePerColMap -/** - * ## Per Col - * - * Per Col can be used for two different types of operations: - * - Provide a new value for every selected cell given its column using a [column expression][org.jetbrains.kotlinx.dataframe.ColumnExpression]. - * - Provide a new value for every selected cell per column using a [Map][Map]`<`[colName: String][String]`, value: C>` - * or [DataRow][org.jetbrains.kotlinx.dataframe.DataRow] as Map. - * - * ### See Also - * - [Update with][org.jetbrains.kotlinx.dataframe.api.Update.with] to provide a new value for every selected cell giving its row. - * - [Update per row col][org.jetbrains.kotlinx.dataframe.api.Update.perRowCol] to provide a new value for every selected cell giving its row and column. - * ### This Per Col Overload - * Provide a new value for every selected cell per column using a [Map][Map]`<`[colName: String][String]`, value: C>` - * or [DataRow][org.jetbrains.kotlinx.dataframe.DataRow] as Map. - * - * For example: - * - * `val defaults = ` - * - * `df.`[update][update]` { name and age }.`[where][Update.where]` { ... }.`[perCol][perCol]`(defaults)` - * - * @throws [IllegalArgumentException] if a value for a selected cell's column is not defined in [values]. - */ -private interface CommonUpdatePerColMapDoc + + + /** * ## Per Col @@ -642,11 +562,11 @@ public fun Update.perCol(values: Map): DataFrame = up * * `val defaults = df.`[getRows][DataFrame.getRows]`(`[listOf][listOf]`(0))` * - * `.`[update][update]` { name }.`[with][Update.with]` { "Empty" }` + *     `.`[update][update]` { name }.`[with][Update.with]` { "Empty" }` * - * `.`[update][update]` { age }.`[with][Update.with]` { 0 }` + *     `.`[update][update]` { age }.`[with][Update.with]` { 0 }` * - * `.first()` + *     `.first()` * * `df.`[update][org.jetbrains.kotlinx.dataframe.api.update]` { name and age }.`[where][org.jetbrains.kotlinx.dataframe.api.Update.where]` { ... }.`[perCol][org.jetbrains.kotlinx.dataframe.api.perCol]`(defaults)` * @@ -684,8 +604,7 @@ public fun Update.perCol(values: AnyRow): DataFrame = perCol(val public fun Update.perCol(valueSelector: ColumnExpression): DataFrame = updateWithValuePerColumnImpl(valueSelector) -/** [Update per col][Update.perCol] to provide a new value for every selected cell giving its column. */ -private interface SeeAlsoPerCol + /** Chains up two row value filters together. */ internal infix fun RowValueFilter?.and(other: RowValueFilter): RowValueFilter { @@ -702,7 +621,7 @@ internal infix fun RowValueFilter?.and(other: RowValueFilter) * * For example: * - * `df.`[update][org.jetbrains.kotlinx.dataframe.api.update]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Number][Number]`?>() }.`[notNull][org.jetbrains.kotlinx.dataframe.api.notNull]`()`.[perCol][org.jetbrains.kotlinx.dataframe.api.Update.perCol] `{ `[mean][org.jetbrains.kotlinx.dataframe.api.mean]`() }` + * `df.`[update][org.jetbrains.kotlinx.dataframe.api.update]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Number][Number]`?>() }.`[notNull][org.jetbrains.kotlinx.dataframe.api.notNull]`().`[perCol][org.jetbrains.kotlinx.dataframe.api.Update.perCol]` { `[mean][org.jetbrains.kotlinx.dataframe.api.mean]`() }` * * ### Optional * Provide an [expression] to update the rows with. @@ -725,7 +644,7 @@ public fun Update.notNull(): Update = * * For example: * - * `df.`[update][update]` { `[colsOf][colsOf]`<`[Number][Number]`?>() }.`[notNull][notNull]`()`.[perCol][Update.perCol] `{ `[mean][mean]`() }` + * `df.`[update][update]` { `[colsOf][colsOf]`<`[Number][Number]`?>() }.`[notNull][notNull]`().`[perCol][Update.perCol]` { `[mean][mean]`() }` * * ### Optional * Provide an [expression] to update the rows with. @@ -744,7 +663,7 @@ public fun Update.notNull(expression: UpdateExpression): * ## The Update Operation * * Returns the [DataFrame][org.jetbrains.kotlinx.dataframe.DataFrame] with changed values in some cells - * (column types can not be changed). + * (column types cannot be changed). * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.Update.Grammar] * @@ -765,9 +684,9 @@ public fun Update.notNull(expression: UpdateExpression): * * For example: * - * `df.`[update][update]`("city")` ` { name.firstName + " from " + it }` + * `df.`[update][update]`("city")`` { name.firstName + " from " + it }` * - * `df.`[update][update]`("city")` ` { it.uppercase() }` + * `df.`[update][update]`("city")`` { it.uppercase() }` * * * @@ -785,7 +704,7 @@ public fun DataFrame.update( * ## The Update Operation * * Returns the [DataFrame][org.jetbrains.kotlinx.dataframe.DataFrame] with changed values in some cells - * (column types can not be changed). + * (column types cannot be changed). * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.Update.Grammar] * @@ -805,9 +724,9 @@ public fun DataFrame.update( * * For example: * - * `df.`[update][update]`("city")` ` { name.firstName + " from " + it }` + * `df.`[update][update]`("city")`` { name.firstName + " from " + it }` * - * `df.`[update][update]`("city")` ` { it.uppercase() }` + * `df.`[update][update]`("city")`` { it.uppercase() }` * * * @@ -825,7 +744,7 @@ public fun DataFrame.update( * ## The Update Operation * * Returns the [DataFrame][org.jetbrains.kotlinx.dataframe.DataFrame] with changed values in some cells - * (column types can not be changed). + * (column types cannot be changed). * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.Update.Grammar] * @@ -846,9 +765,9 @@ public fun DataFrame.update( * * For example: * - * `df.`[update][update]`("city")` ` { name.firstName + " from " + it }` + * `df.`[update][update]`("city")`` { name.firstName + " from " + it }` * - * `df.`[update][update]`("city")` ` { it.uppercase() }` + * `df.`[update][update]`("city")`` { it.uppercase() }` * * * @@ -862,20 +781,7 @@ public fun DataFrame.update( ): DataFrame = update(*headPlusArray(firstCol, cols)).with(expression) -/** - * Specific version of [with] that simply sets the value of each selected row to . - * - * For example: - * - * `df.`[update][update]` { id }.`[where][Update.where]` { it < 0 }.`` - */ -private interface CommonSpecificWithDoc - -/** Arg for the resulting value */ -private interface CommonSpecificWithDocFirstArg -/** Arg for the function call */ -private interface CommonSpecificWithDocSecondArg /** * ## With Null diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/ExpressionsGivenRow.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/ExpressionsGivenRow.kt index 29c113e2a..132dacae7 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/ExpressionsGivenRow.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/ExpressionsGivenRow.kt @@ -37,6 +37,7 @@ internal interface ExpressionsGivenRow { */ interface OperationArg + // Using ` notation to not create double `` when including interface SetDefaultOperationArg /** @@ -55,9 +56,9 @@ internal interface ExpressionsGivenRow { * * For example: * - * `df.`operation` { name.firstName + " " + name.lastName }` + * `df.``operation`` { name.firstName + " " + name.lastName }` * - * `df.`operation` { 2021 - age }` + * `df.``operation`` { 2021 - age }` * */ interface WithExample @@ -77,9 +78,9 @@ internal interface ExpressionsGivenRow { * * For example: * - * `df.`operation` { name.firstName + " from " + it }` + * `df.``operation`` { name.firstName + " from " + it }` * - * `df.`operation` { it.uppercase() }` + * `df.``operation`` { it.uppercase() }` * */ interface WithExample diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/ExpressionsGivenRowAndColumn.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/ExpressionsGivenRowAndColumn.kt index ab2cef06f..b76ed54ab 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/ExpressionsGivenRowAndColumn.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/ExpressionsGivenRowAndColumn.kt @@ -18,6 +18,7 @@ internal interface ExpressionsGivenRowAndColumn { */ interface OperationArg + // Using ` notation to not create double `` when including interface SetDefaultOperationArg /** Provide a new value for every selected cell given both its row and column using a [row-column expression][DfRowColumnExpression]. */ @@ -28,9 +29,9 @@ internal interface ExpressionsGivenRowAndColumn { * * For example: * - * `df.`operation` { row, col ->` + * `df.``operation`` { row, col ->` * - * `row.age / col.`[mean][DataColumn.mean]`(skipNA = true)` + *     `row.age / col.`[mean][DataColumn.mean]`(skipNA = true)` * * `}` * diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/SelectingColumns.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/SelectingColumns.kt index 64175fe01..ded3e8780 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/SelectingColumns.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/SelectingColumns.kt @@ -59,11 +59,11 @@ internal interface SelectingColumnsLink * * #### For example: * - * `df.`operation` { length `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` age }` + * `df.``operation`` { length `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` age }` * - * `df.`operation` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` + * `df.``operation`` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1..5) }` * - * `df.`operation` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` + * `df.``operation`` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` * * * #### NOTE: There's also a 'single column' variant used sometimes: [Column Selection DSL][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns.DslSingle.WithExample]. @@ -73,7 +73,7 @@ internal interface SelectingColumnsLink * * #### For example: * - * `df.`operation`("length", "age")` + * `df.``operation``("length", "age")` * * ### 3. [Column references][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns.ColumnAccessors.WithExample] * Select columns using [column accessors][org.jetbrains.kotlinx.dataframe.columns.ColumnReference] @@ -85,7 +85,7 @@ internal interface SelectingColumnsLink * * `val age by `[column][org.jetbrains.kotlinx.dataframe.api.column]`<`[Double][Double]`>()` * - * `df.`operation`(length, age)` + * `df.``operation``(length, age)` * * ### 4. [KProperties][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns.KProperties.WithExample] * Select columns using [KProperties][KProperty] ([KProperties API][org.jetbrains.kotlinx.dataframe.documentation.AccessApi.KPropertiesApi]). @@ -95,7 +95,7 @@ internal interface SelectingColumnsLink * data class Person(val length: Double, val age: Double) * ``` * - * `df.`operation`(Person::length, Person::age)` + * `df.``operation``(Person::length, Person::age)` * */ internal interface SelectingColumns { @@ -106,6 +106,7 @@ internal interface SelectingColumns { */ interface OperationArg + // Using ` notation to not create double `` when including interface SetDefaultOperationArg /** @@ -156,11 +157,11 @@ internal interface SelectingColumns { * * #### For example: * - * `df.`operation` { length `[and][ColumnsSelectionDsl.and]` age }` + * `df.``operation`` { length `[and][ColumnsSelectionDsl.and]` age }` * - * `df.`operation` { `[cols][ColumnsSelectionDsl.cols]`(1..5) }` + * `df.``operation`` { `[cols][ColumnsSelectionDsl.cols]`(1..5) }` * - * `df.`operation` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` + * `df.``operation`` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` * * */ @@ -216,11 +217,11 @@ internal interface SelectingColumns { * * #### For example: * - * `df.`operation` { length }` + * `df.``operation`` { length }` * - * `df.`operation` { `[col][ColumnsSelectionDsl.col]`(1) }` + * `df.``operation`` { `[col][ColumnsSelectionDsl.col]`(1) }` * - * `df.`operation` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>().`[first][ColumnsSelectionDsl.first]`() }` + * `df.``operation`` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>().`[first][ColumnsSelectionDsl.first]`() }` * */ interface WithExample @@ -241,7 +242,7 @@ internal interface SelectingColumns { * * #### For example: * - * `df.`operation`("length", "age")` + * `df.``operation``("length", "age")` * */ interface WithExample @@ -266,7 +267,7 @@ internal interface SelectingColumns { * * `val age by `[column][column]`<`[Double][Double]`>()` * - * `df.`operation`(length, age)` + * `df.``operation``(length, age)` * */ interface WithExample @@ -286,7 +287,7 @@ internal interface SelectingColumns { * data class Person(val length: Double, val age: Double) * ``` * - * `df.`operation`(Person::length, Person::age)` + * `df.``operation``(Person::length, Person::age)` * */ interface WithExample diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/Nulls.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/Nulls.kt index 7779adaa7..8f5e15b3e 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/Nulls.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/Nulls.kt @@ -43,6 +43,7 @@ private interface SetFillNullsOperationArg * ### This Fill Nulls Overload * */ +@ExcludeFromSources private interface CommonFillNullsFunctionDoc /** @@ -124,6 +125,7 @@ internal interface FillNaNs { } /** {@set [SelectingColumns.OperationArg] [fillNaNs][fillNaNs]} */ +@ExcludeFromSources internal interface SetFillNaNsOperationArg /** @@ -133,6 +135,7 @@ internal interface SetFillNaNsOperationArg * {@set [Update.Columns.SelectingColumnsArg] [Selecting Columns][FillNaNs.FillNaNsSelectingOptions]} * ### This Fill NaNs Overload */ +@ExcludeFromSources private interface CommonFillNaNsFunctionDoc /** @@ -194,6 +197,7 @@ internal interface FillNA { } /** {@set [SelectingColumns.OperationArg] [fillNA][fillNA]} */ +@ExcludeFromSources internal interface SetFillNAOperationArg /** @@ -203,6 +207,7 @@ internal interface SetFillNAOperationArg * {@set [Update.Columns.SelectingColumnsArg] [Selecting Columns][FillNA.FillNASelectingOptions]} * ### This Fill NA Overload */ +@ExcludeFromSources private interface CommonFillNAFunctionDoc /** @@ -240,15 +245,19 @@ public fun DataFrame.fillNA(vararg columns: ColumnReference): Updat // endregion /** @param columns The [Columns Selector][ColumnsSelector] used to select the columns of this [DataFrame] to drop rows in. */ +@ExcludeFromSources private interface DropDslParam /** @param columns The [KProperties][KProperty] used to select the columns of this [DataFrame] to drop rows in. */ +@ExcludeFromSources private interface DropKPropertiesParam -/** @param columns The [Strings][String] corresponding to the names of colums in this [DataFrame] to drop rows in. */ +/** @param columns The [Strings][String] corresponding to the names of columns in this [DataFrame] to drop rows in. */ +@ExcludeFromSources private interface DropColumnNamesParam /** @param columns The [Column References][ColumnReference] used to select the columns of this [DataFrame] to drop rows in. */ +@ExcludeFromSources private interface DropColumnAccessorsParam // region dropNulls @@ -265,6 +274,7 @@ private interface DropColumnAccessorsParam * * For more information: {@include [DocumentationUrls.Drop.DropNulls]} */ +@ExcludeFromSources internal interface DropNulls { /** @@ -282,12 +292,14 @@ internal interface DropNulls { } /** {@set [SelectingColumns.OperationArg] [dropNulls][dropNulls]} */ +@ExcludeFromSources private interface SetDropNullsOperationArg /** * @include [DropNulls] {@comment Description of the dropNulls operation.} * ### This Drop Nulls Overload */ +@ExcludeFromSources private interface CommonDropNullsFunctionDoc /** @@ -364,6 +376,7 @@ public fun DataColumn.dropNulls(): DataColumn = * * For more information: {@include [DocumentationUrls.Drop.DropNA]} */ +@ExcludeFromSources internal interface DropNA { /** @@ -381,12 +394,14 @@ internal interface DropNA { } /** {@set [SelectingColumns.OperationArg] [dropNA][dropNA]} */ +@ExcludeFromSources private interface SetDropNAOperationArg /** * @include [DropNA] {@comment Description of the dropNA operation.} * ### This Drop NA Overload */ +@ExcludeFromSources private interface CommonDropNAFunctionDoc /** @@ -466,6 +481,7 @@ public fun DataColumn.dropNA(): DataColumn = * * For more information: {@include [DocumentationUrls.Drop.DropNaNs]} */ +@ExcludeFromSources internal interface DropNaNs { /** @@ -483,12 +499,14 @@ internal interface DropNaNs { } /** {@set [SelectingColumns.OperationArg] [dropNaNs][dropNaNs]} */ +@ExcludeFromSources private interface SetDropNaNsOperationArg /** * @include [DropNaNs] {@comment Description of the dropNaNs operation.} * ### This Drop NaNs Overload */ +@ExcludeFromSources private interface CommonDropNaNsFunctionDoc /** diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/update.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/update.kt index c8d24f011..406ce718c 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/update.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/update.kt @@ -14,6 +14,7 @@ import org.jetbrains.kotlinx.dataframe.columns.ColumnReference import org.jetbrains.kotlinx.dataframe.columns.toColumnSet import org.jetbrains.kotlinx.dataframe.documentation.DocumentationUrls import org.jetbrains.kotlinx.dataframe.documentation.DslGrammarLink +import org.jetbrains.kotlinx.dataframe.documentation.ExcludeFromSources import org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenColumn import org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenDataFrame import org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRow @@ -37,7 +38,7 @@ import kotlin.reflect.KProperty * ## The Update Operation * * Returns the [DataFrame] with changed values in some cells - * (column types can not be changed). + * (column types cannot be changed). * * ### Check out: [Grammar] * @@ -55,6 +56,7 @@ public data class Update( * This argument providing the (clickable) name of the update-like function. * Note: If clickable, make sure to [alias][your type]. */ + @ExcludeFromSources internal interface UpdateOperationArg /** @@ -63,25 +65,25 @@ public data class Update( * {@include [DslGrammarLink]} * {@include [LineBreak]} * - * {@get [UpdateOperationArg]} **`{ `**[columns][SelectingColumns]**` }`** + * {@get [UpdateOperationArg]}**` { `**[columns][SelectingColumns]**` }`** * * {@include [Indent]} - * `[ .`[**where**][Update.where]**` { `**[rowValueCondition][SelectingRows.RowValueCondition.WithExample]**` } `**`]` + * `[ .`[**where**][Update.where]**` { `**[rowValueCondition][SelectingRows.RowValueCondition.WithExample]**` } `**`]` * * {@include [Indent]} * `[ .`[**at**][Update.at]**`(`**[rowIndices][CommonUpdateAtFunctionDoc.RowIndicesParam]**`)`**` ]` * * {@include [Indent]} - * `.`[**with**][Update.with]**` { `**[rowExpression][ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** + * `.`[**with**][Update.with]**` { `**[rowExpression][ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** * * {@include [Indent]} - * `| .`[**notNull**][Update.notNull]**` { `**[rowExpression][ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** + * `| .`[**notNull**][Update.notNull]**` { `**[rowExpression][ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** * * {@include [Indent]} - * `| .`[**perCol**][Update.perCol]**` { `**[colExpression][ExpressionsGivenColumn.ColumnExpression.WithExample]**` }`** + * `| .`[**perCol**][Update.perCol]**` { `**[colExpression][ExpressionsGivenColumn.ColumnExpression.WithExample]**` }`** * * {@include [Indent]} - * `| .`[**perRowCol**][Update.perRowCol]**` { `**[rowColExpression][ExpressionsGivenRowAndColumn.RowColumnExpression.WithExample]**` }`** + * `| .`[**perRowCol**][Update.perRowCol]**` { `**[rowColExpression][ExpressionsGivenRowAndColumn.RowColumnExpression.WithExample]**` }`** * * {@include [Indent]} * `| .`[**withNull**][Update.withNull]**`()`** @@ -90,7 +92,7 @@ public data class Update( * `| .`[**withZero**][Update.withZero]**`()`** * * {@include [Indent]} - * `| .`[**asFrame**][Update.asFrame]**` { `**[dataFrameExpression][ExpressionsGivenDataFrame.DataFrameExpression.WithExample]**` }`** + * `| .`[**asFrame**][Update.asFrame]**` { `**[dataFrameExpression][ExpressionsGivenDataFrame.DataFrameExpression.WithExample]**` }`** * * {@set [UpdateOperationArg] [**update**][update]}{@comment The default name of the `update` operation function name.} */ @@ -128,6 +130,7 @@ public data class Update( // region update /** {@set [SelectingColumns.OperationArg] [update][update]} */ +@ExcludeFromSources private interface SetSelectingColumnsOperationArg /** @@ -136,6 +139,7 @@ private interface SetSelectingColumnsOperationArg * @include [Update.Columns] {@comment Description of what this function expects the user to do: select columns} * ### This Update Overload */ +@ExcludeFromSources private interface CommonUpdateFunctionDoc /** @@ -143,6 +147,7 @@ private interface CommonUpdateFunctionDoc * Combine `df.`[update][update]`(...).`[with][Update.with]` { ... }` * into `df.`[update][update]`(...) { ... }` */ +@ExcludeFromSources private interface UpdateWithNote /** @@ -203,6 +208,7 @@ public fun Update.where(predicate: RowValueFilter): Update, an [IntRange], or just `vararg` indices. */ @@ -249,6 +255,7 @@ public fun Update.perRowCol(expression: RowColumnExpression expression(row, column) } /** [Update per row col][Update.perRowCol] to provide a new value for every selected cell giving its row and column. */ +@ExcludeFromSources private interface SeeAlsoPerRowCol /** ## Update Expression @@ -274,6 +281,7 @@ public fun Update.with(expression: UpdateExpression): Dat } /** [Update with][Update.with] to provide a new value for every selected cell giving its row. */ +@ExcludeFromSources private interface SeeAlsoWith /** ## As Frame @@ -305,10 +313,12 @@ public fun Update.asNullable(): Update = this as Update` * or [DataRow][DataRow] as Map. */ +@ExcludeFromSources private interface UpdatePerColMap /** @@ -323,6 +333,7 @@ private interface UpdatePerColMap * * @throws [IllegalArgumentException] if a value for a selected cell's column is not defined in [values\]. */ +@ExcludeFromSources private interface CommonUpdatePerColMapDoc /** @@ -340,11 +351,11 @@ public fun Update.perCol(values: Map): DataFrame = up * {@include [CommonUpdatePerColMapDoc]} * {@set [CommonUpdatePerColMapDoc] df.`[getRows][DataFrame.getRows]`(`[listOf][listOf]`(0))` * - * `.`[update][update]` { name \}.`[with][Update.with]` { "Empty" \}` + * {@include [Indent]}`.`[update][update]` { name \}.`[with][Update.with]` { "Empty" \}` * - * `.`[update][update]` { age \}.`[with][Update.with]` { 0 \}` + * {@include [Indent]}`.`[update][update]` { age \}.`[with][Update.with]` { 0 \}` * - * `.first()} + * {@include [Indent]}`.first()} * * @param [values] The [DataRow] to provide a new value for every selected cell. */ @@ -361,6 +372,7 @@ public fun Update.perCol(valueSelector: ColumnExpression): Da updateWithValuePerColumnImpl(valueSelector) /** [Update per col][Update.perCol] to provide a new value for every selected cell giving its column. */ +@ExcludeFromSources private interface SeeAlsoPerCol /** Chains up two row value filters together. */ @@ -383,7 +395,7 @@ public fun Update.notNull(): Update = * * For example: * - * `df.`[update][update]` { `[colsOf][colsOf]`<`[Number][Number]`?>() }.`[notNull][notNull]`()`.[perCol][Update.perCol] `{ `[mean][mean]`() }` + * `df.`[update][update]` { `[colsOf][colsOf]`<`[Number][Number]`?>() }.`[notNull][notNull]`().`[perCol][Update.perCol]` { `[mean][mean]`() }` * * ### Optional * Provide an [expression] to update the rows with. @@ -405,7 +417,7 @@ public fun Update.notNull(expression: UpdateExpression): * @include [SelectingColumns.ColumnAccessors] * * {@include [ExpressionsGivenRow.RowValueExpression.WithExample]} - * {@set [ExpressionsGivenRow.OperationArg] [update][update]`("city")` } + * {@set [ExpressionsGivenRow.OperationArg] [update][update]`("city")`} * * @include [Update.ColumnAccessorsParam] * @param [expression] The {@include [ExpressionsGivenRow.RowValueExpressionLink]} to update the rows with. @@ -424,7 +436,7 @@ public fun DataFrame.update( * @include [SelectingColumns.KProperties] * * {@include [ExpressionsGivenRow.RowValueExpression.WithExample]} - * {@set [ExpressionsGivenRow.OperationArg] [update][update]`("city")` } + * {@set [ExpressionsGivenRow.OperationArg] [update][update]`("city")`} * * @include [Update.KPropertiesParam] * @param [expression] The {@include [ExpressionsGivenRow.RowValueExpressionLink]} to update the rows with. @@ -443,7 +455,7 @@ public fun DataFrame.update( * @include [SelectingColumns.ColumnNames] * * {@include [ExpressionsGivenRow.RowValueExpression.WithExample]} - * {@set [ExpressionsGivenRow.OperationArg] [update][update]`("city")` } + * {@set [ExpressionsGivenRow.OperationArg] [update][update]`("city")`} * * @include [Update.ColumnNamesParam] * @param [expression] The {@include [ExpressionsGivenRow.RowValueExpressionLink]} to update the rows with. @@ -456,41 +468,43 @@ public fun DataFrame.update( update(*headPlusArray(firstCol, cols)).with(expression) /** - * Specific version of [with] that simply sets the value of each selected row to {@get [CommonSpecificWithDocFirstArg]}. + * Specific version of [with] that simply sets the value of each selected row to {@get [FirstArg]}. * * For example: * - * `df.`[update][update]` { id }.`[where][Update.where]` { it < 0 }.`{@get [CommonSpecificWithDocSecondArg]}` + * `df.`[update][update]` { id }.`[where][Update.where]` { it < 0 }.`{@get [SecondArg]}` */ -private interface CommonSpecificWithDoc +@ExcludeFromSources +private interface CommonSpecificWithDoc { -/** Arg for the resulting value */ -private interface CommonSpecificWithDocFirstArg + /** Arg for the resulting value */ + private interface FirstArg -/** Arg for the function call */ -private interface CommonSpecificWithDocSecondArg + /** Arg for the function call */ + private interface SecondArg +} /** * ## With Null * @include [CommonSpecificWithDoc] - * {@set [CommonSpecificWithDocFirstArg] `null`} - * {@set [CommonSpecificWithDocSecondArg] [withNull][withNull]`()} + * {@set [CommonSpecificWithDoc.FirstArg] `null`} + * {@set [CommonSpecificWithDoc.SecondArg] [withNull][withNull]`()} */ public fun Update.withNull(): DataFrame = with { null } /** * ## With Zero * @include [CommonSpecificWithDoc] - * {@set [CommonSpecificWithDocFirstArg] `0`} - * {@set [CommonSpecificWithDocSecondArg] [withZero][withZero]`()} + * {@set [CommonSpecificWithDoc.FirstArg] `0`} + * {@set [CommonSpecificWithDoc.SecondArg] [withZero][withZero]`()} */ public fun Update.withZero(): DataFrame = updateWithValuePerColumnImpl { 0 as C } /** * ## With Value (Deprecated) * @include [CommonSpecificWithDoc] - * {@set [CommonSpecificWithDocFirstArg] [value]} - * {@set [CommonSpecificWithDocSecondArg] [withValue][withValue]`(-1)} + * {@set [CommonSpecificWithDoc.FirstArg] [value]} + * {@set [CommonSpecificWithDoc.SecondArg] [withValue][withValue]`(-1)} * * @param [value] The value to set the selected rows to. In contrast to [with][Update.with], this must be the same exact type. */ diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/ExpressionsGivenRow.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/ExpressionsGivenRow.kt index ed83e739f..0d0df930c 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/ExpressionsGivenRow.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/ExpressionsGivenRow.kt @@ -34,7 +34,8 @@ internal interface ExpressionsGivenRow { */ interface OperationArg - /** {@set [OperationArg] operation} */ + // Using ` notation to not create double `` when including + /** {@set [OperationArg] `operation`} */ interface SetDefaultOperationArg /** diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/ExpressionsGivenRowAndColumn.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/ExpressionsGivenRowAndColumn.kt index 936455529..ea5261471 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/ExpressionsGivenRowAndColumn.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/ExpressionsGivenRowAndColumn.kt @@ -18,7 +18,8 @@ internal interface ExpressionsGivenRowAndColumn { */ interface OperationArg - /** {@set [OperationArg] operation} */ + // Using ` notation to not create double `` when including + /** {@set [OperationArg] `operation`} */ interface SetDefaultOperationArg /** Provide a new value for every selected cell given both its row and column using a [row-column expression][DfRowColumnExpression]. */ @@ -31,7 +32,7 @@ internal interface ExpressionsGivenRowAndColumn { * * `df.`{@get [OperationArg]}` { row, col ->` * - * `row.age / col.`[mean][DataColumn.mean]`(skipNA = true)` + * {@include [Indent]}`row.age / col.`[mean][DataColumn.mean]`(skipNA = true)` * * `}` * diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/SelectingColumns.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/SelectingColumns.kt index 2be48f7ce..a4a9361ab 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/SelectingColumns.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/SelectingColumns.kt @@ -53,7 +53,8 @@ internal interface SelectingColumns { */ interface OperationArg - /** {@set [OperationArg] operation} */ + // Using ` notation to not create double `` when including + /** {@set [OperationArg] `operation`} */ interface SetDefaultOperationArg /** @@ -85,9 +86,9 @@ internal interface SelectingColumns { * * `df.`{@get [OperationArg]}` { length `[and][ColumnsSelectionDsl.and]` age }` * - * `df.`{@get [OperationArg]}` { `[cols][ColumnsSelectionDsl.cols]`(1..5) }` + * `df.`{@get [OperationArg]}` { `[cols][ColumnsSelectionDsl.cols]`(1..5) }` * - * `df.`{@get [OperationArg]}` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` + * `df.`{@get [OperationArg]}` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>() }` * * @include [SetDefaultOperationArg] */ @@ -125,9 +126,9 @@ internal interface SelectingColumns { * * `df.`{@get [OperationArg]}` { length }` * - * `df.`{@get [OperationArg]}` { `[col][ColumnsSelectionDsl.col]`(1) }` + * `df.`{@get [OperationArg]}` { `[col][ColumnsSelectionDsl.col]`(1) }` * - * `df.`{@get [OperationArg]}` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>().`[first][ColumnsSelectionDsl.first]`() }` + * `df.`{@get [OperationArg]}` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Double][Double]`>().`[first][ColumnsSelectionDsl.first]`() }` * @include [SetDefaultOperationArg] */ interface WithExample From d3ef2550eba087e40b50ffbf210e2ef6d48cf1a0 Mon Sep 17 00:00:00 2001 From: Jolan Rensen Date: Mon, 18 Mar 2024 14:58:03 +0100 Subject: [PATCH 05/11] Fixing ` ` in allExcept --- .../kotlinx/dataframe/api/allExcept.kt | 608 +++++++++--------- .../kotlinx/dataframe/api/allExcept.kt | 52 +- 2 files changed, 339 insertions(+), 321 deletions(-) diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/allExcept.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/allExcept.kt index 7997f4e3c..3d5c8a497 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/allExcept.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/allExcept.kt @@ -90,9 +90,9 @@ public interface AllExceptColumnsSelectionDsl { * *      * - * [**allExcept**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept] **`{ `**[colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` }`** + * [**allExcept**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]**` { `**[colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` }`** * - * `|` [**allExcept**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` ..`**`)`** + * `| `[**allExcept**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` ..`**`)`** * *      * @@ -103,11 +103,11 @@ public interface AllExceptColumnsSelectionDsl { * * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     [**except**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.except] `[`**` { `**`]` [columnsResolver][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsResolverDef] `[`**` } `**`]` + *     [**except**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.except]` [`**` { `**`] `[columnsResolver][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsResolverDef]` [`**` } `**`]` * - *     `|` [**except**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.except] [column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef] + *     `| `[**except**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.except]` `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef] * - *     `|` .[**except**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.except]**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` ..`**`)`** + *     `| `**`.`**[**except**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.except]**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` ..`**`)`** * *      * @@ -118,13 +118,13 @@ public interface AllExceptColumnsSelectionDsl { * * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     **`.`**[**allColsExcept**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.allColsExcept] **` { `**[colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` } `** + *     **`.`**[**allColsExcept**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.allColsExcept]**` { `**[colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` } `** * - *     `|` **`.`**[**allColsExcept**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.allColsExcept]**`(`**[columnNoAccessor][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnNoAccessorDef]**`,`**` ..`**`)`** + *     `| `**`.`**[**allColsExcept**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.allColsExcept]**`(`**[columnNoAccessor][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnNoAccessorDef]**`,`**` ..`**`)`** * - *     `|` [**exceptNew**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.exceptNew] **` { `**[colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` } EXPERIMENTAL!`** + *     `| `[**exceptNew**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.exceptNew]**` { `**[colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` } EXPERIMENTAL!`** * - *     `|` [**exceptNew**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.exceptNew]**`(`**[columnNoAccessor][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnNoAccessorDef]**`,`**` ..`**`) EXPERIMENTAL!`** + *     `| `[**exceptNew**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.exceptNew]**`(`**[columnNoAccessor][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnNoAccessorDef]**`,`**` ..`**`) EXPERIMENTAL!`** * * * @@ -166,7 +166,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][DataFrame.select]` { `[colsOf][colsOf]`<`[Int][Int]`>() `[except][ColumnSet.except]` (age `[and][ColumnsSelectionDsl.and]` height) }` + * `df.`[select][DataFrame.select]` { `[colsOf][colsOf]`<`[Int][Int]`>() `[except][ColumnSet.except]` (age `[and][ColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet] created by `age `[and][ColumnsSelectionDsl.and]` height` from the [ColumnSet] created by [colsOf][colsOf]`<`[Int][Int]`>()`. * @@ -177,7 +177,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][DataColumn.name]`() } `[except][ColumnSet.except]` userData.age }` + * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][DataColumn.name]`() } `[except][ColumnSet.except]` userData.age }` * *      * @@ -201,7 +201,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][DataFrame.select]` { `[allExcept][ColumnsSelectionDsl.allExcept]` { userData.age `[and][ColumnsSelectionDsl.and]` height } }` + * `df.`[select][DataFrame.select]` { `[allExcept][ColumnsSelectionDsl.allExcept]` { userData.age `[and][ColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][ColumnGroup] * The variant of this function on [ColumnGroups][ColumnGroup] is a bit different as it changes the scope relative to @@ -211,15 +211,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][DataFrame.select]` { myColGroup.`[allColsExcept][SingleColumn.allColsExcept]` { colA `[and][ColumnsSelectionDsl.and]` colB } }` + * `df.`[select][DataFrame.select]` { myColGroup.`[allColsExcept][SingleColumn.allColsExcept]` { colA `[and][ColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][DataFrame.select]` { myColGroup.`[select][ColumnsSelectionDsl.select]` { `[all][ColumnsSelectionDsl.all]`() `[except][ColumnSet.except]` { colA `[and][ColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][DataFrame.select]` { myColGroup.`[select][ColumnsSelectionDsl.select]` { `[all][ColumnsSelectionDsl.all]`() `[except][ColumnSet.except]` { colA `[and][ColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][DataFrame.select]` { myColGroup.`[allCols][ColumnsSelectionDsl.allCols]`() `[except][ColumnSet.except]` { myColGroup.colA `[and][ColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][DataFrame.select]` { myColGroup.`[allCols][ColumnsSelectionDsl.allCols]`() `[except][ColumnSet.except]` { myColGroup.colA `[and][ColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -263,7 +263,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -274,7 +274,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -298,7 +298,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -308,15 +308,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -324,9 +324,9 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][ColumnsSelectionDsl.select] `{` [colsOf][ColumnsSelectionDsl.colsOf]`<`[Number][Number]`>() `[except][ColumnSet.except] `}` + * `df.`[select][ColumnsSelectionDsl.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Number][Number]`>() `[except][ColumnSet.except]` `` }` * - * `df.`[select][ColumnsSelectionDsl.select] `{` [cols][ColumnsSelectionDsl.cols]`(name, age)` [except][ColumnSet.except] `}` + * `df.`[select][ColumnsSelectionDsl.select]` { `[cols][ColumnsSelectionDsl.cols]`(name, age) `[except][ColumnSet.except]` `` }` * * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns in [this] except the specified ones. @@ -361,7 +361,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -372,7 +372,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -396,7 +396,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -406,15 +406,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -422,9 +422,9 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][ColumnsSelectionDsl.select] `{` [colsOf][ColumnsSelectionDsl.colsOf]`<`[Number][Number]`>().`[except][ColumnSet.except] `}` + * `df.`[select][ColumnsSelectionDsl.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Number][Number]`>().`[except][ColumnSet.except]` }` * - * `df.`[select][ColumnsSelectionDsl.select] `{` [cols][ColumnsSelectionDsl.cols]`(name, age).`[except][ColumnSet.except] `}` + * `df.`[select][ColumnsSelectionDsl.select]` { `[cols][ColumnsSelectionDsl.cols]`(name, age).`[except][ColumnSet.except]` }` * * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns in [this] except the specified ones. @@ -459,7 +459,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -470,7 +470,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -494,7 +494,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -504,15 +504,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -520,9 +520,9 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` [colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Number][Number]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except] `{ "age" `[and][ColumnsSelectionDsl.and]` height }` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Number][Number]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` ``{ "age" `[and][ColumnsSelectionDsl.and]` height }`` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(name, age)` [except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except] `{ name.firstName }` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(name, age) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` ``{ name.firstName }`` }` * * @param [selector] A lambda in which you specify the columns that need to be * excluded from the [ColumnSet]. The scope of the selector is the same as the outer scope. @@ -552,7 +552,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -563,7 +563,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -587,7 +587,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -597,15 +597,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -613,9 +613,9 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` [colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Number][Number]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except] `"age" `[and][ColumnsSelectionDsl.and]` height` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Number][Number]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` ``"age" `[and][ColumnsSelectionDsl.and]` height`` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(name, age)` [except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except] `name.firstName` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(name, age) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` ``name.firstName`` }` * * @param [other] A [ColumnsResolver] containing the columns that need to be * excluded from the [ColumnSet]. @@ -645,7 +645,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -656,7 +656,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -680,7 +680,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -690,15 +690,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -706,9 +706,9 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` [colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Number][Number]`>().`[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]`(age, userData.height)` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Number][Number]`>().`[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]`(age, userData.height)`` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(name, age).`[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]`(name.firstName, name.middleName)` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(name, age).`[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]`(name.firstName, name.middleName)`` }` * * @param [others] Any number of [ColumnsResolvers][ColumnsResolver] containing * the columns that need to be excluded from the [ColumnSet]. @@ -738,7 +738,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -749,7 +749,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -773,7 +773,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -783,15 +783,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -799,9 +799,9 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` [colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Number][Number]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except] `"age"` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Number][Number]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` ``"age"`` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(name, age)` [except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except] `"name"` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(name, age) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` ``"name"`` }` * * @param [other] A [String] referring to * the column (relative to the current scope) that needs to be excluded from the [ColumnSet]. @@ -831,7 +831,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -842,7 +842,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -866,7 +866,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -876,15 +876,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -892,9 +892,9 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` [colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Number][Number]`>().`[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]`("age", "height")` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Number][Number]`>().`[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]`("age", "height")`` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(name, age).`[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]`("name")` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(name, age).`[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]`("name")`` }` * * @param [others] Any number of [Strings][String] referring to * the columns (relative to the current scope) that need to be excluded from the [ColumnSet]. @@ -924,7 +924,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -935,7 +935,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -959,7 +959,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -969,15 +969,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -985,9 +985,9 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` [colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Number][Number]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except] `Person::age` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Number][Number]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` ``Person::age`` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(name, age)` [except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except] `Person::name` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(name, age) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` ``Person::name`` }` * * @param [other] A [KProperty] referring to * the column (relative to the current scope) that needs to be excluded from the [ColumnSet]. @@ -1017,7 +1017,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -1028,7 +1028,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -1052,7 +1052,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -1062,15 +1062,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -1078,9 +1078,9 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` [colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Number][Number]`>().`[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]`(Person::age, Person::height)` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Number][Number]`>().`[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]`(Person::age, Person::height)`` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(name, age).`[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]`(Person::name)` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(name, age).`[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]`(Person::name)`` }` * * @param [others] Any number of [KProperties][KProperty] referring to * the columns (relative to the current scope) that need to be excluded from the [ColumnSet]. @@ -1110,7 +1110,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -1121,7 +1121,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -1145,7 +1145,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -1155,15 +1155,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -1171,9 +1171,9 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` [colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Number][Number]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except] `"userdata"["age"]` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Number][Number]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` ``"userdata"["age"]`` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(name, age)` [except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except] `pathOf("name", "firstName")` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(name, age) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` ``pathOf("name", "firstName")`` }` * * @param [other] A [ColumnPath] referring to * the column (relative to the current scope) that needs to be excluded from the [ColumnSet]. @@ -1203,7 +1203,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -1214,7 +1214,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -1238,7 +1238,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -1248,15 +1248,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -1264,9 +1264,9 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` [colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Number][Number]`>().`[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]`(pathOf("age"), "userdata"["height"])` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Number][Number]`>().`[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]`(pathOf("age"), "userdata"["height"])`` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(name, age).`[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]`("name"["firstName"], "name"["middleName"])` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(name, age).`[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]`("name"["firstName"], "name"["middleName"])`` }` * * @param [others] Any number of [ColumnPaths][ColumnPath] referring to * the columns (relative to the current scope) that need to be excluded from the [ColumnSet]. @@ -1300,7 +1300,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -1311,7 +1311,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -1335,7 +1335,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -1345,15 +1345,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -1361,9 +1361,9 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][ColumnsSelectionDsl.select] `{` [allExcept][ColumnsSelectionDsl.allExcept] `}` + * `df.`[select][ColumnsSelectionDsl.select]` { `[allExcept][ColumnsSelectionDsl.allExcept]` }` * - * `df.`[select][ColumnsSelectionDsl.select] `{` [allExcept][ColumnsSelectionDsl.allExcept] `}` + * `df.`[select][ColumnsSelectionDsl.select]` { `[allExcept][ColumnsSelectionDsl.allExcept]` }` * * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns in [this] except the specified ones. @@ -1397,7 +1397,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -1408,7 +1408,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -1432,7 +1432,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -1442,15 +1442,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -1458,9 +1458,9 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` [allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { "age" `[and][ColumnsSelectionDsl.and]` height }` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { "age" `[and][ColumnsSelectionDsl.and]` height }`` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` [allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { name.firstName }` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { name.firstName }`` }` * * @param [selector] A lambda in which you specify the columns that need to be * excluded from the current selection. The scope of the selector is the same as the outer scope. @@ -1490,7 +1490,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -1501,7 +1501,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -1525,7 +1525,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -1535,15 +1535,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -1551,9 +1551,9 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` [allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]`(age, height)` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]`(age, height)`` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` [allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]`(name.firstName, name.middleName)` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]`(name.firstName, name.middleName)`` }` * * @param [others] A [ColumnsResolver] containing the columns that need to be * excluded from the current selection. @@ -1582,7 +1582,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -1593,7 +1593,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -1617,7 +1617,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -1627,15 +1627,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -1643,9 +1643,9 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` [allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]`("age", "height")` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]`("age", "height")`` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` [allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]`("name")` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]`("name")`` }` * * @param [others] Any number of [Strings][String] referring to * the columns (relative to the current scope) that need to be excluded from the current selection. @@ -1674,7 +1674,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -1685,7 +1685,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -1709,7 +1709,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -1719,15 +1719,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -1735,9 +1735,9 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` [allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]`(Person::age, Person::height)` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]`(Person::age, Person::height)`` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` [allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]`(Person::name)` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]`(Person::name)`` }` * * @param [others] Any number of [KProperties][KProperty] referring to * the columns (relative to the current scope) that need to be excluded from the current selection. @@ -1766,7 +1766,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -1777,7 +1777,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -1801,7 +1801,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -1811,15 +1811,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -1827,9 +1827,9 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` [allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]`(pathOf("age"), "userdata"["height"])` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]`(pathOf("age"), "userdata"["height"])`` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` [allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]`("name"["firstName"], "name"["middleName"])` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]`("name"["firstName"], "name"["middleName"])`` }` * * @param [others] Any number of [ColumnPaths][ColumnPath] referring to * the columns (relative to the current scope) that need to be excluded from the current selection. @@ -1862,7 +1862,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -1873,7 +1873,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -1897,7 +1897,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -1907,15 +1907,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -1923,9 +1923,10 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][ColumnsSelectionDsl.select] `{` [allColsExcept][.allColsExcept] `}` * - * `df.`[select][ColumnsSelectionDsl.select] `{ city` [and][ColumnsSelectionDsl.and] [allColsExcept][.allColsExcept] `}` + * `df.`[select][ColumnsSelectionDsl.select]` { `[allColsExcept][.allColsExcept]` }` + * + * `df.`[select][ColumnsSelectionDsl.select]` { city `[and][ColumnsSelectionDsl.and]` `[allColsExcept][.allColsExcept]` }` * * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns in [this] except the specified ones. @@ -2000,7 +2001,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -2011,7 +2012,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -2035,7 +2036,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -2045,15 +2046,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -2061,9 +2062,10 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` `userData.`[allColsExcept][SingleColumn.allColsExcept]` { "age" `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height }` `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{ city` [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] `name.`[allColsExcept][SingleColumn.allColsExcept]` { firstName }` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { ``userData.`[allColsExcept][SingleColumn.allColsExcept]` { "age" `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height }`` }` + * + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { city `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` ``name.`[allColsExcept][SingleColumn.allColsExcept]` { firstName }`` }` * * @param [selector] A lambda in which you specify the columns that need to be * excluded from the current selection in [this] column group. The other columns will be included in the selection @@ -2109,7 +2111,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -2120,7 +2122,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -2144,7 +2146,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -2154,15 +2156,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -2170,9 +2172,10 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` `userData.`[allColsExcept][SingleColumn.allColsExcept]`("age", "height")` `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{ city` [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] `name.`[allColsExcept][SingleColumn.allColsExcept]`("firstName", "middleName")` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { ``userData.`[allColsExcept][SingleColumn.allColsExcept]`("age", "height")`` }` + * + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { city `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` ``name.`[allColsExcept][SingleColumn.allColsExcept]`("firstName", "middleName")`` }` * * @param [others] Any number of [Strings][String] referring to * the columns (relative to the column group) that need to be excluded from the current selection in [this] @@ -2202,7 +2205,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -2213,7 +2216,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -2237,7 +2240,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -2247,15 +2250,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -2263,9 +2266,10 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` `userData.`[allColsExcept][SingleColumn.allColsExcept]`(Person::age, Person::height)` `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{ city` [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] `name.`[allColsExcept][SingleColumn.allColsExcept]`(Person::firstName, Person::middleName)` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { ``userData.`[allColsExcept][SingleColumn.allColsExcept]`(Person::age, Person::height)`` }` + * + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { city `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` ``name.`[allColsExcept][SingleColumn.allColsExcept]`(Person::firstName, Person::middleName)`` }` * * @param [others] Any number of [KProperties][KProperty] referring to * the columns (relative to the column group) that need to be excluded from the current selection in [this] @@ -2295,7 +2299,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -2306,7 +2310,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -2330,7 +2334,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -2340,15 +2344,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -2356,9 +2360,10 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` `userData.`[allColsExcept][SingleColumn.allColsExcept]`(pathOf("age"), "extraData"["item1"])` `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{ city` [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] `name.`[allColsExcept][SingleColumn.allColsExcept]`(pathOf("firstName"), "middleNames"["first"])` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { ``userData.`[allColsExcept][SingleColumn.allColsExcept]`(pathOf("age"), "extraData"["item1"])`` }` + * + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { city `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` ``name.`[allColsExcept][SingleColumn.allColsExcept]`(pathOf("firstName"), "middleNames"["first"])`` }` * * @param [others] Any number of [ColumnPaths][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] referring to * the columns (relative to the column group) that need to be excluded from the current selection in [this] @@ -2392,7 +2397,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -2403,7 +2408,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -2427,7 +2432,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -2437,15 +2442,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -2453,9 +2458,10 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` `"userData".`[allColsExcept][String.allColsExcept]` { "age" `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height }` `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{ city` [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] `"name".`[allColsExcept][String.allColsExcept]` { firstName }` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { ``"userData".`[allColsExcept][String.allColsExcept]` { "age" `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height }`` }` + * + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { city `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` ``"name".`[allColsExcept][String.allColsExcept]` { firstName }`` }` * * @param [selector] A lambda in which you specify the columns that need to be * excluded from the current selection in [this] column group. The other columns will be included in the selection @@ -2501,7 +2507,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -2512,7 +2518,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -2536,7 +2542,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -2546,15 +2552,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -2562,9 +2568,10 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` `"userData".`[allColsExcept][String.allColsExcept]`("age", "height")` `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{ city` [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] `"name".`[allColsExcept][String.allColsExcept]`("firstName", "middleName")` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { ``"userData".`[allColsExcept][String.allColsExcept]`("age", "height")`` }` + * + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { city `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` ``"name".`[allColsExcept][String.allColsExcept]`("firstName", "middleName")`` }` * * @param [others] Any number of [Strings][String] referring to * the columns (relative to the column group) that need to be excluded from the current selection in [this] @@ -2594,7 +2601,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -2605,7 +2612,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -2629,7 +2636,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -2639,15 +2646,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -2655,9 +2662,10 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` `"userData".`[allColsExcept][String.allColsExcept]`(Person::age, Person::height)` `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{ city` [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] `"name".`[allColsExcept][String.allColsExcept]`(Person::firstName, Person::middleName)` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { ``"userData".`[allColsExcept][String.allColsExcept]`(Person::age, Person::height)`` }` + * + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { city `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` ``"name".`[allColsExcept][String.allColsExcept]`(Person::firstName, Person::middleName)`` }` * * @param [others] Any number of [KProperties][KProperty] referring to * the columns (relative to the column group) that need to be excluded from the current selection in [this] @@ -2687,7 +2695,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -2698,7 +2706,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -2722,7 +2730,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -2732,15 +2740,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -2748,9 +2756,10 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` `"userData".`[allColsExcept][String.allColsExcept]`(pathOf("age"), "extraData"["item1"])` `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{ city` [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] `"name".`[allColsExcept][String.allColsExcept]`(pathOf("firstName"), "middleNames"["first"])` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { ``"userData".`[allColsExcept][String.allColsExcept]`(pathOf("age"), "extraData"["item1"])`` }` + * + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { city `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` ``"name".`[allColsExcept][String.allColsExcept]`(pathOf("firstName"), "middleNames"["first"])`` }` * * @param [others] Any number of [ColumnPaths][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] referring to * the columns (relative to the column group) that need to be excluded from the current selection in [this] @@ -2784,7 +2793,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -2795,7 +2804,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -2819,7 +2828,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -2829,15 +2838,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -2845,9 +2854,10 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` `DataSchemaPerson::userData.`[allColsExcept][KProperty.allColsExcept]` { "age" `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height }` `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{ city` [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] `Person::name.`[allColsExcept][KProperty.allColsExcept]` { firstName }` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { ``DataSchemaPerson::userData.`[allColsExcept][KProperty.allColsExcept]` { "age" `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height }`` }` + * + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { city `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` ``Person::name.`[allColsExcept][KProperty.allColsExcept]` { firstName }`` }` * ## NOTE: * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler @@ -2884,7 +2894,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -2895,7 +2905,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -2919,7 +2929,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -2929,15 +2939,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -2945,9 +2955,10 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` `DataSchemaPerson::userData.`[allColsExcept][KProperty.allColsExcept]` { "age" `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height }` `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{ city` [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] `Person::name.`[allColsExcept][KProperty.allColsExcept]` { firstName }` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { ``DataSchemaPerson::userData.`[allColsExcept][KProperty.allColsExcept]` { "age" `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height }`` }` + * + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { city `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` ``Person::name.`[allColsExcept][KProperty.allColsExcept]` { firstName }`` }` * ## NOTE: * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you * can safely ignore this. It is caused by a workaround for a bug in the Kotlin compiler @@ -2999,7 +3010,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -3010,7 +3021,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -3034,7 +3045,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -3044,15 +3055,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -3060,9 +3071,10 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` `DataSchemaPerson::userData.`[allColsExcept][KProperty.allColsExcept]`("age", "height")` `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{ city` [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] `Person::name.`[allColsExcept][KProperty.allColsExcept]`("firstName", "middleName")` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { ``DataSchemaPerson::userData.`[allColsExcept][KProperty.allColsExcept]`("age", "height")`` }` + * + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { city `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` ``Person::name.`[allColsExcept][KProperty.allColsExcept]`("firstName", "middleName")`` }` * * @param [others] Any number of [Strings][String] referring to * the columns (relative to the column group) that need to be excluded from the current selection in [this] @@ -3092,7 +3104,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -3103,7 +3115,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -3127,7 +3139,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -3137,15 +3149,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -3153,9 +3165,10 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` `DataSchemaPerson::userData.`[allColsExcept][KProperty.allColsExcept]`(Person::age, Person::height)` `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{ city` [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] `Person::name.`[allColsExcept][KProperty.allColsExcept]`(Person::firstName, Person::middleName)` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { ``DataSchemaPerson::userData.`[allColsExcept][KProperty.allColsExcept]`(Person::age, Person::height)`` }` + * + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { city `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` ``Person::name.`[allColsExcept][KProperty.allColsExcept]`(Person::firstName, Person::middleName)`` }` * * @param [others] Any number of [KProperties][KProperty] referring to * the columns (relative to the column group) that need to be excluded from the current selection in [this] @@ -3185,7 +3198,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -3196,7 +3209,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -3220,7 +3233,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -3230,15 +3243,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -3246,9 +3259,10 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` `DataSchemaPerson::userData.`[allColsExcept][KProperty.allColsExcept]`(pathOf("age"), "extraData"["item1"])` `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{ city` [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] `Person::name.`[allColsExcept][KProperty.allColsExcept]`(pathOf("firstName"), "middleNames"["first"])` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { ``DataSchemaPerson::userData.`[allColsExcept][KProperty.allColsExcept]`(pathOf("age"), "extraData"["item1"])`` }` + * + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { city `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` ``Person::name.`[allColsExcept][KProperty.allColsExcept]`(pathOf("firstName"), "middleNames"["first"])`` }` * * @param [others] Any number of [ColumnPaths][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] referring to * the columns (relative to the column group) that need to be excluded from the current selection in [this] @@ -3282,7 +3296,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -3293,7 +3307,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -3317,7 +3331,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -3327,15 +3341,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -3343,9 +3357,10 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` `pathOf("userData").`[allColsExcept][ColumnPath.allColsExcept]` { "age" `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height }` `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{ city` [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] `"pathTo"["myColGroup"].`[allColsExcept][ColumnPath.allColsExcept]` { firstName }` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { ``pathOf("userData").`[allColsExcept][ColumnPath.allColsExcept]` { "age" `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height }`` }` + * + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { city `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` ``"pathTo"["myColGroup"].`[allColsExcept][ColumnPath.allColsExcept]` { firstName }`` }` * * @param [selector] A lambda in which you specify the columns that need to be * excluded from the current selection in [this] column group. The other columns will be included in the selection @@ -3391,7 +3406,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -3402,7 +3417,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -3426,7 +3441,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -3436,15 +3451,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -3452,9 +3467,10 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` `pathOf("userData").`[allColsExcept][ColumnPath.allColsExcept]`("age", "height")` `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{ city` [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] `"pathTo"["myColGroup"].`[allColsExcept][ColumnPath.allColsExcept]`("firstName", "middleName")` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { ``pathOf("userData").`[allColsExcept][ColumnPath.allColsExcept]`("age", "height")`` }` + * + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { city `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` ``"pathTo"["myColGroup"].`[allColsExcept][ColumnPath.allColsExcept]`("firstName", "middleName")`` }` * * @param [others] Any number of [Strings][String] referring to * the columns (relative to the column group) that need to be excluded from the current selection in [this] @@ -3484,7 +3500,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -3495,7 +3511,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -3519,7 +3535,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -3529,15 +3545,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -3545,9 +3561,10 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` `pathOf("userData").`[allColsExcept][ColumnPath.allColsExcept]`(Person::age, Person::height)` `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{ city` [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] `"pathTo"["myColGroup"].`[allColsExcept][ColumnPath.allColsExcept]`(Person::firstName, Person::middleName)` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { ``pathOf("userData").`[allColsExcept][ColumnPath.allColsExcept]`(Person::age, Person::height)`` }` + * + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { city `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` ``"pathTo"["myColGroup"].`[allColsExcept][ColumnPath.allColsExcept]`(Person::firstName, Person::middleName)`` }` * * @param [others] Any number of [KProperties][KProperty] referring to * the columns (relative to the column group) that need to be excluded from the current selection in [this] @@ -3577,7 +3594,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -3588,7 +3605,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]`() } `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` userData.age }` * *      * @@ -3612,7 +3629,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allExcept][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]` { userData.age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] * The variant of this function on [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup] is a bit different as it changes the scope relative to @@ -3622,15 +3639,15 @@ public interface AllExceptColumnsSelectionDsl { * * In other words: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allColsExcept][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allColsExcept]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` { myColGroup.colA `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` myColGroup.colB } }` * *      * @@ -3638,9 +3655,10 @@ public interface AllExceptColumnsSelectionDsl { * columns inside the group, 'lifting' them out. * * ### Examples for this overload - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{` `pathOf("userData").`[allColsExcept][ColumnPath.allColsExcept]`(pathOf("age"), "extraData"["item1"])` `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select] `{ city` [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] `"pathTo"["myColGroup"].`[allColsExcept][ColumnPath.allColsExcept]`(pathOf("firstName"), "middleNames"["first"])` `}` + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { ``pathOf("userData").`[allColsExcept][ColumnPath.allColsExcept]`(pathOf("age"), "extraData"["item1"])`` }` + * + * `df.`[select][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]` { city `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` ``"pathTo"["myColGroup"].`[allColsExcept][ColumnPath.allColsExcept]`(pathOf("firstName"), "middleNames"["first"])`` }` * * @param [others] Any number of [ColumnPaths][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] referring to * the columns (relative to the column group) that need to be excluded from the current selection in [this] diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/allExcept.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/allExcept.kt index f239d9575..7173fe641 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/allExcept.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/allExcept.kt @@ -64,25 +64,25 @@ public interface AllExceptColumnsSelectionDsl { * } * * {@set [DslGrammarTemplate.PlainDslFunctionsArg] - * {@include [PlainDslName]} **`{ `**{@include [DslGrammarTemplate.ColumnsSelectorRef]}**` \}`** + * {@include [PlainDslName]}**` { `**{@include [DslGrammarTemplate.ColumnsSelectorRef]}**` \}`** * - * `|` {@include [PlainDslName]}**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`,`**` ..`**`)`** + * `| `{@include [PlainDslName]}**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`,`**` ..`**`)`** * } * {@set [DslGrammarTemplate.ColumnSetFunctionsArg] - * {@include [Indent]}{@include [ColumnSetName]} `[`**` { `**`]` {@include [DslGrammarTemplate.ColumnsResolverRef]} `[`**` \} `**`]` + * {@include [Indent]}{@include [ColumnSetName]}` [`**` { `**`] `{@include [DslGrammarTemplate.ColumnsResolverRef]}` [`**` \} `**`]` * - * {@include [Indent]}`|` {@include [ColumnSetName]} {@include [DslGrammarTemplate.ColumnRef]} + * {@include [Indent]}`| `{@include [ColumnSetName]}` `{@include [DslGrammarTemplate.ColumnRef]} * - * {@include [Indent]}`|` .{@include [ColumnSetName]}**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`,`**` ..`**`)`** + * {@include [Indent]}`| `**`.`**{@include [ColumnSetName]}**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`,`**` ..`**`)`** * } * {@set [DslGrammarTemplate.ColumnGroupFunctionsArg] - * {@include [Indent]}{@include [ColumnGroupName]} **` { `**{@include [DslGrammarTemplate.ColumnsSelectorRef]}**` \} `** + * {@include [Indent]}{@include [ColumnGroupName]}**` { `**{@include [DslGrammarTemplate.ColumnsSelectorRef]}**` \} `** * - * {@include [Indent]}`|` {@include [ColumnGroupName]}**`(`**{@include [DslGrammarTemplate.ColumnNoAccessorRef]}**`,`**` ..`**`)`** + * {@include [Indent]}`| `{@include [ColumnGroupName]}**`(`**{@include [DslGrammarTemplate.ColumnNoAccessorRef]}**`,`**` ..`**`)`** * - * {@include [Indent]}`|` {@include [ColumnGroupExperimentalName]} **` { `**{@include [DslGrammarTemplate.ColumnsSelectorRef]}**` \} EXPERIMENTAL!`** + * {@include [Indent]}`| `{@include [ColumnGroupExperimentalName]}**` { `**{@include [DslGrammarTemplate.ColumnsSelectorRef]}**` \} EXPERIMENTAL!`** * - * {@include [Indent]}`|` {@include [ColumnGroupExperimentalName]}**`(`**{@include [DslGrammarTemplate.ColumnNoAccessorRef]}**`,`**` ..`**`) EXPERIMENTAL!`** + * {@include [Indent]}`| `{@include [ColumnGroupExperimentalName]}**`(`**{@include [DslGrammarTemplate.ColumnNoAccessorRef]}**`,`**` ..`**`) EXPERIMENTAL!`** * } */ public interface Grammar { @@ -114,7 +114,7 @@ public interface AllExceptColumnsSelectionDsl { * * We can do: * - * `df.`[select][DataFrame.select]` { `[colsOf][colsOf]`<`[Int][Int]`>() `[except][ColumnSet.except]` (age `[and][ColumnsSelectionDsl.and]` height) }` + * `df.`[select][DataFrame.select]` { `[colsOf][colsOf]`<`[Int][Int]`>() `[except][ColumnSet.except]` (age `[and][ColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet] created by `age `[and][ColumnsSelectionDsl.and]` height` from the [ColumnSet] created by [colsOf][colsOf]`<`[Int][Int]`>()`. * @@ -123,7 +123,7 @@ public interface AllExceptColumnsSelectionDsl { * * For instance: * - * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][DataColumn.name]`() } `[except][ColumnSet.except]` userData.age }` + * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { "a" `[in][String.contains]` it.`[name][DataColumn.name]`() } `[except][ColumnSet.except]` userData.age }` * {@include [LineBreak]} * * Note that the selection of columns to exclude from [column sets][ColumnSet] is always done relative to the outer @@ -143,7 +143,7 @@ public interface AllExceptColumnsSelectionDsl { * * For example: * - * `df.`[select][DataFrame.select]` { `[allExcept][ColumnsSelectionDsl.allExcept]` { userData.age `[and][ColumnsSelectionDsl.and]` height } }` + * `df.`[select][DataFrame.select]` { `[allExcept][ColumnsSelectionDsl.allExcept]` { userData.age `[and][ColumnsSelectionDsl.and]` height } }` * * ### On [ColumnGroups][ColumnGroup] * The variant of this function on [ColumnGroups][ColumnGroup] is a bit different as it changes the scope relative to @@ -151,15 +151,15 @@ public interface AllExceptColumnsSelectionDsl { * {@include [LineBreak]} * In other words: * - * `df.`[select][DataFrame.select]` { myColGroup.`[allColsExcept][SingleColumn.allColsExcept]` { colA `[and][ColumnsSelectionDsl.and]` colB } }` + * `df.`[select][DataFrame.select]` { myColGroup.`[allColsExcept][SingleColumn.allColsExcept]` { colA `[and][ColumnsSelectionDsl.and]` colB } }` * * is shorthand for * - * `df.`[select][DataFrame.select]` { myColGroup.`[select][ColumnsSelectionDsl.select]` { `[all][ColumnsSelectionDsl.all]`() `[except][ColumnSet.except]` { colA `[and][ColumnsSelectionDsl.and]` colB } } }` + * `df.`[select][DataFrame.select]` { myColGroup.`[select][ColumnsSelectionDsl.select]` { `[all][ColumnsSelectionDsl.all]`() `[except][ColumnSet.except]` { colA `[and][ColumnsSelectionDsl.and]` colB } } }` * * or * - * `df.`[select][DataFrame.select]` { myColGroup.`[allCols][ColumnsSelectionDsl.allCols]`() `[except][ColumnSet.except]` { myColGroup.colA `[and][ColumnsSelectionDsl.and]` myColGroup.colB } }` + * `df.`[select][DataFrame.select]` { myColGroup.`[allCols][ColumnsSelectionDsl.allCols]`() `[except][ColumnSet.except]` { myColGroup.colA `[and][ColumnsSelectionDsl.and]` myColGroup.colB } }` * {@include [LineBreak]} * Also note the name change, similar to [allCols][ColumnsSelectionDsl.allCols], this makes it clearer that you're selecting * columns inside the group, 'lifting' them out. @@ -190,9 +190,9 @@ public interface AllExceptColumnsSelectionDsl { /** * @include [CommonExceptDocs] * {@set [CommonExceptDocs.ExampleArg] - * `df.`[select][ColumnsSelectionDsl.select] `{` [colsOf][ColumnsSelectionDsl.colsOf]`<`[Number][Number]`>() `[except][ColumnSet.except] {@get [ArgumentArg1]} `\}` + * `df.`[select][ColumnsSelectionDsl.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Number][Number]`>() `[except][ColumnSet.except]` `{@get [ArgumentArg1]}` \}` * - * `df.`[select][ColumnsSelectionDsl.select] `{` [cols][ColumnsSelectionDsl.cols]`(name, age)` [except][ColumnSet.except] {@get [ArgumentArg2]} `\}` + * `df.`[select][ColumnsSelectionDsl.select]` { `[cols][ColumnsSelectionDsl.cols]`(name, age) `[except][ColumnSet.except]` `{@get [ArgumentArg2]}` \}` * } */ private interface ColumnSetInfixDocs { @@ -207,9 +207,9 @@ public interface AllExceptColumnsSelectionDsl { /** * @include [CommonExceptDocs] * {@set [CommonExceptDocs.ExampleArg] - * `df.`[select][ColumnsSelectionDsl.select] `{` [colsOf][ColumnsSelectionDsl.colsOf]`<`[Number][Number]`>().`[except][ColumnSet.except]{@get [ArgumentArg1]} `\}` + * `df.`[select][ColumnsSelectionDsl.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Number][Number]`>().`[except][ColumnSet.except]{@get [ArgumentArg1]}` \}` * - * `df.`[select][ColumnsSelectionDsl.select] `{` [cols][ColumnsSelectionDsl.cols]`(name, age).`[except][ColumnSet.except]{@get [ArgumentArg2]} `\}` + * `df.`[select][ColumnsSelectionDsl.select]` { `[cols][ColumnsSelectionDsl.cols]`(name, age).`[except][ColumnSet.except]{@get [ArgumentArg2]}` \}` * } */ private interface ColumnSetVarargDocs { @@ -318,9 +318,9 @@ public interface AllExceptColumnsSelectionDsl { /** * @include [CommonExceptDocs] * @set [CommonExceptDocs.ExampleArg] - * `df.`[select][ColumnsSelectionDsl.select] `{` [allExcept][ColumnsSelectionDsl.allExcept]{@get [ArgumentArg1]} `\}` + * `df.`[select][ColumnsSelectionDsl.select]` { `[allExcept][ColumnsSelectionDsl.allExcept]{@get [ArgumentArg1]}` \}` * - * `df.`[select][ColumnsSelectionDsl.select] `{` [allExcept][ColumnsSelectionDsl.allExcept]{@get [ArgumentArg2]} `\}` + * `df.`[select][ColumnsSelectionDsl.select]` { `[allExcept][ColumnsSelectionDsl.allExcept]{@get [ArgumentArg2]}` \}` */ private interface ColumnsSelectionDslDocs { @@ -335,7 +335,7 @@ public interface AllExceptColumnsSelectionDsl { * @include [ColumnsSelectionDslDocs] * @set [CommonExceptDocs.ParamArg] @param [selector\] A lambda in which you specify the columns that need to be * excluded from the current selection. The scope of the selector is the same as the outer scope. - * @set [ColumnsSelectionDslDocs.ArgumentArg1] ` { "age" `[and][ColumnsSelectionDsl.and]` height }` + * @set [ColumnsSelectionDslDocs.ArgumentArg1] ` { "age" `[and][ColumnsSelectionDsl.and]` height }` * @set [ColumnsSelectionDslDocs.ArgumentArg2] ` { name.firstName }` */ public fun ColumnsSelectionDsl.allExcept(selector: ColumnsSelector): ColumnSet<*> = @@ -388,10 +388,10 @@ public interface AllExceptColumnsSelectionDsl { /** * @include [CommonExceptDocs] - * @set [CommonExceptDocs.ExampleArg] - * `df.`[select][ColumnsSelectionDsl.select] `{` {@get [ReceiverArg1]}[allColsExcept][{@get [ReceiverType]}.allColsExcept]{@get [ArgumentArg1]} `\}` + * @set [CommonExceptDocs.ExampleArg] {@comment blocks are there to prevent double ``} + * `df.`[select][ColumnsSelectionDsl.select]` { `{@get [ReceiverArg1]}[allColsExcept][{@get [ReceiverType]}.allColsExcept]{@get [ArgumentArg1]}` \}` * - * `df.`[select][ColumnsSelectionDsl.select] `{ city` [and][ColumnsSelectionDsl.and] {@get [ReceiverArg2]}[allColsExcept][{@get [ReceiverType]}.allColsExcept]{@get [ArgumentArg2]} `\}` + * `df.`[select][ColumnsSelectionDsl.select]` { city `[and][ColumnsSelectionDsl.and]` `{@get [ReceiverArg2]}[allColsExcept][{@get [ReceiverType]}.allColsExcept]{@get [ArgumentArg2]}` \}` */ private interface ColumnGroupDocs { @@ -442,7 +442,7 @@ public interface AllExceptColumnsSelectionDsl { * @set [CommonExceptDocs.ParamArg] @param [selector\] A lambda in which you specify the columns that need to be * excluded from the current selection in [this\] column group. The other columns will be included in the selection * by default. The scope of the selector is relative to the column group. - * @set [ColumnGroupDocs.ArgumentArg1] ` { "age" `[and][ColumnsSelectionDsl.and]` height }` + * @set [ColumnGroupDocs.ArgumentArg1] ` { "age" `[and][ColumnsSelectionDsl.and]` height }` * @set [ColumnGroupDocs.ArgumentArg2] ` { firstName }` */ interface SelectorArgs From c00efabdc9e5d84195a66f2e75375d5cde98138e Mon Sep 17 00:00:00 2001 From: Jolan Rensen Date: Mon, 18 Mar 2024 17:25:26 +0100 Subject: [PATCH 06/11] Fixing ` ` in and.kt --- .../jetbrains/kotlinx/dataframe/api/and.kt | 134 +++++++++--------- .../jetbrains/kotlinx/dataframe/api/and.kt | 38 ++--- 2 files changed, 86 insertions(+), 86 deletions(-) diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt index 4e13e1c91..5431a7012 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt @@ -64,9 +64,9 @@ public interface AndColumnsSelectionDsl { * *      * - * [columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef] [**and**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` [ `**`{`**` ] `[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]` [ `**`}`**` ] ` + * [columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]` `[**and**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` [ `**`{`**` ] `[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]` [ `**`}`**` ]` * - * `| `[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**`.`**[**and**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] **`(`**`|`**`{ `**[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**` }`**`|`**`)`** + * `| `[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**`.`**[**and**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]**` (`**`|`**`{ `**[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**` }`**`|`**`)`** * *      * @@ -77,7 +77,7 @@ public interface AndColumnsSelectionDsl { * * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     **`.`**[**and**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] **`(`**`|`**`{ `**[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**` }`**`|`**`)`** + *     **`.`**[**and**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]**` (`**`|`**`{ `**[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**` }`**`|`**`)`** * *      * @@ -88,7 +88,7 @@ public interface AndColumnsSelectionDsl { * * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     **`.`**[**and**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] **`(`**`|`**`{ `**[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**` }`**`|`**`)`** + *     **`.`**[**and**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]**` (`**`|`**`{ `**[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**` }`**`|`**`)`** * * * @@ -122,19 +122,19 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][DataFrame.groupBy]` { "colA" `[and][String.and]` colB }` + * `df.`[groupBy][DataFrame.groupBy]` { "colA" `[and][String.and]` colB }` * * `df.`[select][DataFrame.select]` {` * *     [colsOf][SingleColumn.colsOf]`<`[String][String]`>() `[and][ColumnSet.and]` {` * - *         [colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][DataColumn.name]` }` + *         [colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][DataFrame.select]` { "colC" `[and][String.and]` Type::colB `[and][KProperty.and]` "pathTo"["colC"] `[and][ColumnPath.and]` colD }` + * `df.`[select][DataFrame.select]` { "colC" `[and][String.and]` Type::colB `[and][KProperty.and]` "pathTo"["colC"] `[and][ColumnPath.and]` colD }` * * #### Example for this overload: * @@ -160,23 +160,23 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` + * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` * *     [colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` * - *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` + *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` * * #### Example for this overload: * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { ... } `[and][ColumnsResolver.and] ` }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { ... } `[and][ColumnsResolver.and]` `` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -195,23 +195,23 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` + * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` * *     [colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` * - *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` + *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { ... } `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and] [colsOf][SingleColumn.colsOf]`<`[Int][Int]`>()` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { ... } `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>()` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -227,23 +227,23 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` + * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` * *     [colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` * - *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` + *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { ... } `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and] `{ colA `[/][DataColumn.div]` 2.0 `[named][ColumnReference.named]` "half colA" ` }` `} + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { ... } `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` ``{ colA `[/][DataColumn.div]` 2.0 `[named][ColumnReference.named]` "half colA" ` }` `} * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -259,23 +259,23 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` + * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` * *     [colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` * - *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` + *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { ... } `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and] "colB"` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { ... } `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` ``"colB"`` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -291,23 +291,23 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` + * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` * *     [colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` * - *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` + *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { ... } `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and] Type::colB` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { ... } `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` ``Type::colB`` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -328,23 +328,23 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` + * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` * *     [colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` * - *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` + *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` * * #### Example for this overload: * - * `df.`[select][DataFrame.select]` { "colA" `[and][String.and] ` }` + * `df.`[select][DataFrame.select]` { "colA" `[and][String.and]` `` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -363,23 +363,23 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` + * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` * *     [colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` * - *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` + *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[and][kotlin.String.and] [colsOf][SingleColumn.colsOf]`<`[Int][Int]`>()` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[and][kotlin.String.and]` `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>()` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -395,23 +395,23 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` + * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` * *     [colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` * - *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` + *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[and][kotlin.String.and] `{ colA `[/][DataColumn.div]` 2.0 `[named][ColumnReference.named]` "half colA" ` }` `} + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[and][kotlin.String.and]` ``{ colA `[/][DataColumn.div]` 2.0 `[named][ColumnReference.named]` "half colA" ` }` `} * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -427,23 +427,23 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` + * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` * *     [colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` * - *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` + *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[and][kotlin.String.and] "colB"` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[and][kotlin.String.and]` ``"colB"`` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -459,23 +459,23 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` + * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` * *     [colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` * - *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` + *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[and][kotlin.String.and] Type::colB` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[and][kotlin.String.and]` ``Type::colB`` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -496,23 +496,23 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` + * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` * *     [colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` * - *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` + *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` * * #### Example for this overload: * - * `df.`[select][DataFrame.select]` { Type::colA `[and][KProperty.and] ` }` + * `df.`[select][DataFrame.select]` { Type::colA `[and][KProperty.and]` `` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -531,23 +531,23 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` + * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` * *     [colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` * - *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` + *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::colA `[and][kotlin.reflect.KProperty.and] [colsOf][SingleColumn.colsOf]`<`[Int][Int]`>()` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::colA `[and][kotlin.reflect.KProperty.and]` `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>()` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -563,23 +563,23 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` + * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` * *     [colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` * - *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` + *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::colA `[and][kotlin.reflect.KProperty.and] `{ colA `[/][DataColumn.div]` 2.0 `[named][ColumnReference.named]` "half colA" ` }` `} + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::colA `[and][kotlin.reflect.KProperty.and]` ``{ colA `[/][DataColumn.div]` 2.0 `[named][ColumnReference.named]` "half colA" } `` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -596,23 +596,23 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` + * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` * *     [colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` * - *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` + *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::colA `[and][kotlin.reflect.KProperty.and] "colB"` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::colA `[and][kotlin.reflect.KProperty.and]` ``"colB"`` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -628,23 +628,23 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` + * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` * *     [colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` * - *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` + *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::colA `[and][kotlin.reflect.KProperty.and] Type::colB` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::colA `[and][kotlin.reflect.KProperty.and]` ``Type::colB`` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt index 51fa007cb..9e34efb38 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt @@ -42,17 +42,17 @@ public interface AndColumnsSelectionDsl { * } * * {@set [DslGrammarTemplate.PlainDslFunctionsArg] - * {@include [DslGrammarTemplate.ColumnOrColumnSetRef]} {@include [InfixName]}` [ `**`{`**` ] `{@include [DslGrammarTemplate.ColumnOrColumnSetRef]}` [ `**`\}`**` ] ` + * {@include [DslGrammarTemplate.ColumnOrColumnSetRef]}` `{@include [InfixName]}` [ `**`{`**` ] `{@include [DslGrammarTemplate.ColumnOrColumnSetRef]}` [ `**`\}`**` ]` * - * `| `{@include [DslGrammarTemplate.ColumnOrColumnSetRef]}{@include [Name]} **`(`**`|`**`{ `**{@include [DslGrammarTemplate.ColumnOrColumnSetRef]}**` \}`**`|`**`)`** + * `| `{@include [DslGrammarTemplate.ColumnOrColumnSetRef]}{@include [Name]}**` (`**`|`**`{ `**{@include [DslGrammarTemplate.ColumnOrColumnSetRef]}**` \}`**`|`**`)`** * } * * {@set [DslGrammarTemplate.ColumnSetFunctionsArg] - * {@include [Indent]}{@include [Name]} **`(`**`|`**`{ `**{@include [DslGrammarTemplate.ColumnOrColumnSetRef]}**` \}`**`|`**`)`** + * {@include [Indent]}{@include [Name]}**` (`**`|`**`{ `**{@include [DslGrammarTemplate.ColumnOrColumnSetRef]}**` \}`**`|`**`)`** * } * * {@set [DslGrammarTemplate.ColumnGroupFunctionsArg] - * {@include [Indent]}{@include [Name]} **`(`**`|`**`{ `**{@include [DslGrammarTemplate.ColumnOrColumnSetRef]}**` \}`**`|`**`)`** + * {@include [Indent]}{@include [Name]}**` (`**`|`**`{ `**{@include [DslGrammarTemplate.ColumnOrColumnSetRef]}**` \}`**`|`**`)`** * } */ public interface Grammar { @@ -74,19 +74,19 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][DataFrame.groupBy]` { "colA" `[and][String.and]` colB }` + * `df.`[groupBy][DataFrame.groupBy]` { "colA" `[and][String.and]` colB }` * * `df.`[select][DataFrame.select]` {` * * {@include [Indent]}[colsOf][SingleColumn.colsOf]`<`[String][String]`>() `[and][ColumnSet.and]` {` * - * {@include [DoubleIndent]}[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][DataColumn.name]` }` + * {@include [DoubleIndent]}[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][DataColumn.name]` }` * * {@include [Indent]}`}` * * `}` * - * `df.`[select][DataFrame.select]` { "colC" `[and][String.and]` Type::colB `[and][KProperty.and]` "pathTo"["colC"] `[and][ColumnPath.and]` colD }` + * `df.`[select][DataFrame.select]` { "colC" `[and][String.and]` Type::colB `[and][KProperty.and]` "pathTo"["colC"] `[and][ColumnPath.and]` colD }` * * #### Example for this overload: * @@ -106,7 +106,7 @@ public interface AndColumnsSelectionDsl { * @include [CommonAndDocs] * @set [CommonAndDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { ... } `[and][ColumnsResolver.and] {@get [ColumnsResolverAndDocs.Argument]}` }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { ... } `[and][ColumnsResolver.and]` `{@get [ColumnsResolverAndDocs.Argument]}` }` */ private interface ColumnsResolverAndDocs { @@ -116,13 +116,13 @@ public interface AndColumnsSelectionDsl { /** @include [ColumnsResolverAndDocs] {@set [ColumnsResolverAndDocs.Argument] [colsOf][SingleColumn.colsOf]`<`[Int][Int]`>()} */ public infix fun ColumnsResolver.and(other: ColumnsResolver): ColumnSet = ColumnsList(this, other) - /** @include [ColumnsResolverAndDocs] {@set [ColumnsResolverAndDocs.Argument] `{ colA `[/][DataColumn.div]` 2.0 `[named][ColumnReference.named]` "half colA" } `} */ + /** @include [ColumnsResolverAndDocs] {@set [ColumnsResolverAndDocs.Argument] `{ colA `[/][DataColumn.div]` 2.0 `[named][ColumnReference.named]` "half colA" } `} */ public infix fun ColumnsResolver.and(other: () -> ColumnsResolver): ColumnSet = this and other() - /** @include [ColumnsResolverAndDocs] {@set [ColumnsResolverAndDocs.Argument] "colB"} */ + /** @include [ColumnsResolverAndDocs] {@set [ColumnsResolverAndDocs.Argument] `"colB"`} */ public infix fun ColumnsResolver.and(other: String): ColumnSet<*> = this and other.toColumnAccessor() - /** @include [ColumnsResolverAndDocs] {@set [ColumnsResolverAndDocs.Argument] Type::colB} */ + /** @include [ColumnsResolverAndDocs] {@set [ColumnsResolverAndDocs.Argument] `Type::colB`} */ public infix fun ColumnsResolver.and(other: KProperty): ColumnSet = this and other.toColumnAccessor() // endregion @@ -133,7 +133,7 @@ public interface AndColumnsSelectionDsl { * @include [CommonAndDocs] * @set [CommonAndDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { "colA" `[and][String.and] {@get [StringAndDocs.Argument]}` }` + * `df.`[select][DataFrame.select]` { "colA" `[and][String.and]` `{@get [StringAndDocs.Argument]}` }` */ private interface StringAndDocs { @@ -143,13 +143,13 @@ public interface AndColumnsSelectionDsl { /** @include [StringAndDocs] {@set [StringAndDocs.Argument] [colsOf][SingleColumn.colsOf]`<`[Int][Int]`>()} */ public infix fun String.and(other: ColumnsResolver): ColumnSet<*> = toColumnAccessor() and other - /** @include [StringAndDocs] {@set [StringAndDocs.Argument] `{ colA `[/][DataColumn.div]` 2.0 `[named][ColumnReference.named]` "half colA" } `} */ + /** @include [StringAndDocs] {@set [StringAndDocs.Argument] `{ colA `[/][DataColumn.div]` 2.0 `[named][ColumnReference.named]` "half colA" } `} */ public infix fun String.and(other: () -> ColumnsResolver): ColumnSet<*> = toColumnAccessor() and other() - /** @include [StringAndDocs] {@set [StringAndDocs.Argument] "colB"} */ + /** @include [StringAndDocs] {@set [StringAndDocs.Argument] `"colB"`} */ public infix fun String.and(other: String): ColumnSet<*> = toColumnAccessor() and other.toColumnAccessor() - /** @include [StringAndDocs] {@set [StringAndDocs.Argument] Type::colB} */ + /** @include [StringAndDocs] {@set [StringAndDocs.Argument] `Type::colB`} */ public infix fun String.and(other: KProperty): ColumnSet<*> = toColumnAccessor() and other // endregion @@ -160,7 +160,7 @@ public interface AndColumnsSelectionDsl { * @include [CommonAndDocs] * @set [CommonAndDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { Type::colA `[and][KProperty.and] {@get [KPropertyAndDocs.Argument]}` }` + * `df.`[select][DataFrame.select]` { Type::colA `[and][KProperty.and]` `{@get [KPropertyAndDocs.Argument]}` }` */ private interface KPropertyAndDocs { @@ -170,14 +170,14 @@ public interface AndColumnsSelectionDsl { /** @include [KPropertyAndDocs] {@set [KPropertyAndDocs.Argument] [colsOf][SingleColumn.colsOf]`<`[Int][Int]`>()} */ public infix fun KProperty.and(other: ColumnsResolver): ColumnSet = toColumnAccessor() and other - /** @include [KPropertyAndDocs] {@set [KPropertyAndDocs.Argument] `{ colA `[/][DataColumn.div]` 2.0 `[named][ColumnReference.named]` "half colA" } `} */ + /** @include [KPropertyAndDocs] {@set [KPropertyAndDocs.Argument] `{ colA `[/][DataColumn.div]` 2.0 `[named][ColumnReference.named]` "half colA" \} `} */ public infix fun KProperty.and(other: () -> ColumnsResolver): ColumnSet = toColumnAccessor() and other() - /** @include [KPropertyAndDocs] {@set [KPropertyAndDocs.Argument] "colB"} */ + /** @include [KPropertyAndDocs] {@set [KPropertyAndDocs.Argument] `"colB"`} */ public infix fun KProperty.and(other: String): ColumnSet<*> = toColumnAccessor() and other - /** @include [KPropertyAndDocs] {@set [KPropertyAndDocs.Argument] Type::colB} */ + /** @include [KPropertyAndDocs] {@set [KPropertyAndDocs.Argument] `Type::colB`} */ public infix fun KProperty.and(other: KProperty): ColumnSet = toColumnAccessor() and other.toColumnAccessor() From 0a388b73b437f8fe205d2e41a8df0e9c3088eb9e Mon Sep 17 00:00:00 2001 From: Jolan Rensen Date: Tue, 19 Mar 2024 13:29:25 +0100 Subject: [PATCH 07/11] Fixing ` ` in col and colGroup --- .../jetbrains/kotlinx/dataframe/api/col.kt | 227 ++++++++-------- .../kotlinx/dataframe/api/colGroup.kt | 244 +++++++++--------- .../jetbrains/kotlinx/dataframe/api/col.kt | 25 +- .../kotlinx/dataframe/api/colGroup.kt | 18 +- 4 files changed, 256 insertions(+), 258 deletions(-) diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/col.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/col.kt index 71fa40841..835d0c482 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/col.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/col.kt @@ -74,7 +74,7 @@ public interface ColColumnsSelectionDsl { * *      * - * [**col**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.col]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** + * [**col**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.col]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** * *      * @@ -85,8 +85,7 @@ public interface ColColumnsSelectionDsl { * * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     **`.`**[**col**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.col]**`(`**[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** - * `|` [**`[`**][ColumnsSelectionDsl.col][index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef][**`]`**][ColumnsSelectionDsl.col] + *     **`.`**[**col**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.col]**`(`**[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`**` | `[**`[`**][ColumnsSelectionDsl.col][index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef][**`]`**][ColumnsSelectionDsl.col] * *      * @@ -97,7 +96,7 @@ public interface ColColumnsSelectionDsl { * * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     **`.`**[**col**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.col]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** + *     **`.`**[**col**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.col]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** * * * @@ -144,9 +143,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][DataFrame.select]` { `[col][col]`<`[String][String]`>("colA") }` + * `df.`[select][DataFrame.select]` { `[col][col]`<`[String][String]`>("colA") }` * - * `df.`[select][DataFrame.select]` { `[col][col]`(SomeType::colB) }` + * `df.`[select][DataFrame.select]` { `[col][col]`(SomeType::colB) }` * * `df.`[select][DataFrame.select]` { myColumnGroup.`[col][col]`(1) }` * @@ -220,9 +219,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -270,9 +269,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -322,9 +321,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -377,9 +376,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -428,9 +427,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -479,9 +478,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -530,9 +529,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -585,9 +584,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -636,9 +635,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -689,9 +688,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -741,9 +740,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -795,9 +794,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -852,9 +851,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -906,9 +905,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -959,9 +958,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -1013,9 +1012,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -1068,9 +1067,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -1122,9 +1121,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -1175,9 +1174,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -1229,9 +1228,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -1286,9 +1285,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -1337,9 +1336,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -1390,9 +1389,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -1442,9 +1441,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -1496,9 +1495,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -1553,9 +1552,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -1607,9 +1606,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -1660,9 +1659,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -1714,9 +1713,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -1767,9 +1766,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -1821,9 +1820,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -1874,9 +1873,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -1928,9 +1927,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -1985,9 +1984,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -2035,9 +2034,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -2085,9 +2084,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -2136,9 +2135,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -2187,9 +2186,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -2238,9 +2237,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -2289,9 +2288,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -2344,9 +2343,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -2396,9 +2395,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -2406,7 +2405,7 @@ public interface ColColumnsSelectionDsl { * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(0) }` * - * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][col]`1`[`]`][col]` }` + * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][col]`1`[`]`][col]` }` * * To create a [ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor] for a specific kind of column with runtime checks, take a look at the functions * [valueCol][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCol], @@ -2451,9 +2450,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -2461,7 +2460,7 @@ public interface ColColumnsSelectionDsl { * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(0) }` * - * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][col]`1`[`]`][col]` }` + * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][col]`1`[`]`][col]` }` * * To create a [ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor] for a specific kind of column with runtime checks, take a look at the functions * [valueCol][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCol], @@ -2505,9 +2504,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -2560,9 +2559,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -2614,9 +2613,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -2669,9 +2668,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -2726,9 +2725,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -2781,9 +2780,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -2835,9 +2834,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -2890,9 +2889,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -2944,9 +2943,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * @@ -2999,9 +2998,9 @@ public interface ColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`<`[String][String]`>("colA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(SomeType::colB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[col][org.jetbrains.kotlinx.dataframe.api.ColColumnsSelectionDsl.col]`(1) }` * diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroup.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroup.kt index b92440d2b..47e088c9e 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroup.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroup.kt @@ -76,7 +76,7 @@ public interface ColGroupColumnsSelectionDsl { * *      * - * [**colGroup**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** + * [**colGroup**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** * *      * @@ -98,7 +98,7 @@ public interface ColGroupColumnsSelectionDsl { * * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     **`.`**[**colGroup**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** + *     **`.`**[**colGroup**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** * * * @@ -146,9 +146,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][DataFrame.select]` { `[colGroup][colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][DataFrame.select]` { `[colGroup][colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][DataFrame.select]` { `[colGroup][colGroup]`(SomeType::colGroupB) }` + * `df.`[select][DataFrame.select]` { `[colGroup][colGroup]`(SomeType::colGroupB) }` * * `df.`[select][DataFrame.select]` { myColumnGroup.`[colGroup][colGroup]`(1) }` * @@ -224,9 +224,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -276,9 +276,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -329,9 +329,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -387,9 +387,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -440,9 +440,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -493,9 +493,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -546,9 +546,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -603,9 +603,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -656,9 +656,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -711,9 +711,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -765,9 +765,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -821,9 +821,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -881,9 +881,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -937,9 +937,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -992,9 +992,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -1048,9 +1048,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -1103,9 +1103,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -1159,9 +1159,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -1214,9 +1214,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -1270,9 +1270,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -1329,9 +1329,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -1382,9 +1382,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -1437,9 +1437,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -1491,9 +1491,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -1547,9 +1547,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -1608,9 +1608,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -1664,9 +1664,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -1719,9 +1719,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -1775,9 +1775,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -1830,9 +1830,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -1886,9 +1886,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -1941,9 +1941,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -1997,9 +1997,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -2056,9 +2056,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -2108,9 +2108,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -2163,9 +2163,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -2216,9 +2216,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -2271,9 +2271,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -2324,9 +2324,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -2379,9 +2379,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -2432,9 +2432,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -2487,9 +2487,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -2540,9 +2540,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -2595,9 +2595,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -2648,9 +2648,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -2703,9 +2703,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -2760,9 +2760,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -2814,9 +2814,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -2871,9 +2871,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -2926,9 +2926,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -2983,9 +2983,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -3039,9 +3039,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -3096,9 +3096,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -3156,9 +3156,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -3213,9 +3213,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -3269,9 +3269,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -3326,9 +3326,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -3382,9 +3382,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * @@ -3439,9 +3439,9 @@ public interface ColGroupColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(SomeType::colGroupB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[colGroup][org.jetbrains.kotlinx.dataframe.api.ColGroupColumnsSelectionDsl.colGroup]`(1) }` * diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/col.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/col.kt index 0ccb3662e..579dc6f8a 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/col.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/col.kt @@ -50,16 +50,15 @@ public interface ColColumnsSelectionDsl { * } * * {@set [DslGrammarTemplate.PlainDslFunctionsArg] - * {@include [PlainDslName]}`[`**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**`]`**`(`**{@include [DslGrammarTemplate.ColumnRef]}` | `{@include [DslGrammarTemplate.IndexRef]}**`)`** + * {@include [PlainDslName]}`[`**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**`]`**`(`**{@include [DslGrammarTemplate.ColumnRef]}` | `{@include [DslGrammarTemplate.IndexRef]}**`)`** * } * * {@set [DslGrammarTemplate.ColumnSetFunctionsArg] - * {@include [Indent]}{@include [ColumnSetName]}**`(`**{@include [DslGrammarTemplate.IndexRef]}**`)`** - * `|` [**`[`**][ColumnsSelectionDsl.col]{@include [DslGrammarTemplate.IndexRef]}[**`]`**][ColumnsSelectionDsl.col] + * {@include [Indent]}{@include [ColumnSetName]}**`(`**{@include [DslGrammarTemplate.IndexRef]}**`)`**` | `[**`[`**][ColumnsSelectionDsl.col]{@include [DslGrammarTemplate.IndexRef]}[**`]`**][ColumnsSelectionDsl.col] * } * * {@set [DslGrammarTemplate.ColumnGroupFunctionsArg] - * {@include [Indent]}{@include [ColumnGroupName]}`[`**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**`]`**`(`**{@include [DslGrammarTemplate.ColumnRef]}` | `{@include [DslGrammarTemplate.IndexRef]}**`)`** + * {@include [Indent]}{@include [ColumnGroupName]}`[`**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**`]`**`(`**{@include [DslGrammarTemplate.ColumnRef]}` | `{@include [DslGrammarTemplate.IndexRef]}**`)`** * } */ public interface Grammar { @@ -86,21 +85,21 @@ public interface ColColumnsSelectionDsl { * The function can also be called on [ColumnGroups][ColumnGroupReference] to create * an accessor for a column inside a [ColumnGroup]. * {@include [LineBreak]} - * {@get [CommonColDocs.Note]} + * $[CommonColDocs.Note] * * ### Check out: [Grammar] * * #### For example: * - * `df.`[select][DataFrame.select]` { `[col][col]`<`[String][String]`>("colA") }` + * `df.`[select][DataFrame.select]` { `[col][col]`<`[String][String]`>("colA") }` * - * `df.`[select][DataFrame.select]` { `[col][col]`(SomeType::colB) }` + * `df.`[select][DataFrame.select]` { `[col][col]`(SomeType::colB) }` * * `df.`[select][DataFrame.select]` { myColumnGroup.`[col][col]`(1) }` * * #### Examples for this overload: * - * {@get [CommonColDocs.ExampleArg]} + * $[CommonColDocs.ExampleArg] * * To create a [ColumnAccessor] for a specific kind of column with runtime checks, take a look at the functions * [valueCol][ColumnsSelectionDsl.valueCol], @@ -122,14 +121,14 @@ public interface ColColumnsSelectionDsl { interface ExampleArg /** - * `df.`[select][DataFrame.select]` { {@get [CommonColDocs.ReceiverArg]}`[col][col]`({@get [CommonColDocs.Arg]}) \}` + * `df.`[select][DataFrame.select]` { $[CommonColDocs.ReceiverArg]`[col][col]`($[CommonColDocs.Arg]) \}` */ interface SingleExample /** - * `df.`[select][DataFrame.select]` { {@get [CommonColDocs.ReceiverArg]}`[col][col]`({@get [CommonColDocs.Arg]}) \}` + * `df.`[select][DataFrame.select]` { $[CommonColDocs.ReceiverArg]`[col][col]`($[CommonColDocs.Arg]) \}` * - * `df.`[select][DataFrame.select]` { {@get [CommonColDocs.ReceiverArg]}`[col][col]`<`[String][String]`>({@get [CommonColDocs.Arg]}) \}` + * `df.`[select][DataFrame.select]` { $[CommonColDocs.ReceiverArg]`[col][col]`<`[String][String]`>($[CommonColDocs.Arg]) \}` */ interface DoubleExample @@ -475,7 +474,7 @@ public interface ColColumnsSelectionDsl { * {@set [CommonColDocs.ExampleArg] * {@include [CommonColDocs.SingleExample]} * - * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][col]`1`[`]`][col]` \}` + * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][col]`1`[`]`][col]` \}` * } * {@set [CommonColDocs.Note] NOTE: You can use the get-[] operator on [ColumnSets][ColumnSet] as well!} */ @@ -487,7 +486,7 @@ public interface ColColumnsSelectionDsl { * {@set [CommonColDocs.ExampleArg] * {@include [CommonColDocs.SingleExample]} * - * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][col]`1`[`]`][col]` \}` + * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][col]`1`[`]`][col]` \}` * } */ public operator fun ColumnSet.get(index: Int): SingleColumn = col(index) diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroup.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroup.kt index 120ece339..f167467f5 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroup.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroup.kt @@ -52,7 +52,7 @@ public interface ColGroupColumnsSelectionDsl { * } * * {@set [DslGrammarTemplate.PlainDslFunctionsArg] - * {@include [PlainDslName]}`[`**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**`]`**`(`**{@include [DslGrammarTemplate.ColumnRef]}` | `{@include [DslGrammarTemplate.IndexRef]}**`)`** + * {@include [PlainDslName]}`[`**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**`]`**`(`**{@include [DslGrammarTemplate.ColumnRef]}` | `{@include [DslGrammarTemplate.IndexRef]}**`)`** * } * * {@set [DslGrammarTemplate.ColumnSetFunctionsArg] @@ -60,7 +60,7 @@ public interface ColGroupColumnsSelectionDsl { * } * * {@set [DslGrammarTemplate.ColumnGroupFunctionsArg] - * {@include [Indent]}{@include [ColumnGroupName]}`[`**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**`]`**`(`**{@include [DslGrammarTemplate.ColumnRef]}` | `{@include [DslGrammarTemplate.IndexRef]}**`)`** + * {@include [Indent]}{@include [ColumnGroupName]}`[`**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**`]`**`(`**{@include [DslGrammarTemplate.ColumnRef]}` | `{@include [DslGrammarTemplate.IndexRef]}**`)`** * } */ public interface Grammar { @@ -88,21 +88,21 @@ public interface ColGroupColumnsSelectionDsl { * The function can also be called on [ColumnGroups][ColumnGroupReference] to create * an accessor for a column group inside a [ColumnGroup]. * {@include [LineBreak]} - * {@get [CommonColGroupDocs.Note]} + * $[CommonColGroupDocs.Note] * * ### Check out: [Grammar] * * #### For example: * - * `df.`[select][DataFrame.select]` { `[colGroup][colGroup]`<`[String][String]`>("colGroupA") }` + * `df.`[select][DataFrame.select]` { `[colGroup][colGroup]`<`[String][String]`>("colGroupA") }` * - * `df.`[select][DataFrame.select]` { `[colGroup][colGroup]`(SomeType::colGroupB) }` + * `df.`[select][DataFrame.select]` { `[colGroup][colGroup]`(SomeType::colGroupB) }` * * `df.`[select][DataFrame.select]` { myColumnGroup.`[colGroup][colGroup]`(1) }` * * #### Examples for this overload: * - * {@get [CommonColGroupDocs.ExampleArg]} + * $[CommonColGroupDocs.ExampleArg] * * To create a [ColumnAccessor] for another kind of column, take a look at the functions * [col][ColumnsSelectionDsl.col], @@ -125,14 +125,14 @@ public interface ColGroupColumnsSelectionDsl { interface ExampleArg /** - * `df.`[select][DataFrame.select]` { {@get [CommonColGroupDocs.ReceiverArg]}`[colGroup][colGroup]`({@get [CommonColGroupDocs.Arg]}) \}` + * `df.`[select][DataFrame.select]` { $[CommonColGroupDocs.ReceiverArg]`[colGroup][colGroup]`($[CommonColGroupDocs.Arg]) \}` */ interface SingleExample /** - * `df.`[select][DataFrame.select]` { {@get [CommonColGroupDocs.ReceiverArg]}`[colGroup][colGroup]`({@get [CommonColGroupDocs.Arg]}) \}` + * `df.`[select][DataFrame.select]` { $[CommonColGroupDocs.ReceiverArg]`[colGroup][colGroup]`($[CommonColGroupDocs.Arg]) \}` * - * `df.`[select][DataFrame.select]` { {@get [CommonColGroupDocs.ReceiverArg]}`[colGroup][colGroup]`<`[String][String]`>({@get [CommonColGroupDocs.Arg]}) \}` + * `df.`[select][DataFrame.select]` { $[CommonColGroupDocs.ReceiverArg]`[colGroup][colGroup]`<`[String][String]`>($[CommonColGroupDocs.Arg]) \}` */ interface DoubleExample From 51c422f154981bfb6c5bf6a67b34ca242b85d336 Mon Sep 17 00:00:00 2001 From: Jolan Rensen Date: Tue, 26 Mar 2024 14:23:13 +0100 Subject: [PATCH 08/11] fixed and kdocs --- .../org/jetbrains/kotlinx/dataframe/api/and.kt | 12 ++++++------ .../org/jetbrains/kotlinx/dataframe/api/and.kt | 12 ++++++------ 2 files changed, 12 insertions(+), 12 deletions(-) diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt index 5431a7012..c42d525f2 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt @@ -211,7 +211,7 @@ public interface AndColumnsSelectionDsl { * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { ... } `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>()` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { ... } `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>()`` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -243,7 +243,7 @@ public interface AndColumnsSelectionDsl { * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { ... } `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` ``{ colA `[/][DataColumn.div]` 2.0 `[named][ColumnReference.named]` "half colA" ` }` `} + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { ... } `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` ``{ colA `[/][DataColumn.div]` 2.0 `[named][ColumnReference.named]` "half colA" }`` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -379,7 +379,7 @@ public interface AndColumnsSelectionDsl { * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[and][kotlin.String.and]` `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>()` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[and][kotlin.String.and]` `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>()`` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -411,7 +411,7 @@ public interface AndColumnsSelectionDsl { * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[and][kotlin.String.and]` ``{ colA `[/][DataColumn.div]` 2.0 `[named][ColumnReference.named]` "half colA" ` }` `} + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[and][kotlin.String.and]` ``{ colA `[/][DataColumn.div]` 2.0 `[named][ColumnReference.named]` "half colA" }`` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -547,7 +547,7 @@ public interface AndColumnsSelectionDsl { * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::colA `[and][kotlin.reflect.KProperty.and]` `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>()` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::colA `[and][kotlin.reflect.KProperty.and]` `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>()`` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -579,7 +579,7 @@ public interface AndColumnsSelectionDsl { * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::colA `[and][kotlin.reflect.KProperty.and]` ``{ colA `[/][DataColumn.div]` 2.0 `[named][ColumnReference.named]` "half colA" } `` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::colA `[and][kotlin.reflect.KProperty.and]` ``{ colA `[/][DataColumn.div]` 2.0 `[named][ColumnReference.named]` "half colA" }`` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt index 9e34efb38..fd2c8cc14 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt @@ -113,10 +113,10 @@ public interface AndColumnsSelectionDsl { interface Argument } - /** @include [ColumnsResolverAndDocs] {@set [ColumnsResolverAndDocs.Argument] [colsOf][SingleColumn.colsOf]`<`[Int][Int]`>()} */ + /** @include [ColumnsResolverAndDocs] {@set [ColumnsResolverAndDocs.Argument] [colsOf][SingleColumn.colsOf]`<`[Int][Int]`>()`} */ public infix fun ColumnsResolver.and(other: ColumnsResolver): ColumnSet = ColumnsList(this, other) - /** @include [ColumnsResolverAndDocs] {@set [ColumnsResolverAndDocs.Argument] `{ colA `[/][DataColumn.div]` 2.0 `[named][ColumnReference.named]` "half colA" } `} */ + /** @include [ColumnsResolverAndDocs] {@set [ColumnsResolverAndDocs.Argument] `{ colA `[/][DataColumn.div]` 2.0 `[named][ColumnReference.named]` "half colA" \}`} */ public infix fun ColumnsResolver.and(other: () -> ColumnsResolver): ColumnSet = this and other() /** @include [ColumnsResolverAndDocs] {@set [ColumnsResolverAndDocs.Argument] `"colB"`} */ @@ -140,10 +140,10 @@ public interface AndColumnsSelectionDsl { interface Argument } - /** @include [StringAndDocs] {@set [StringAndDocs.Argument] [colsOf][SingleColumn.colsOf]`<`[Int][Int]`>()} */ + /** @include [StringAndDocs] {@set [StringAndDocs.Argument] [colsOf][SingleColumn.colsOf]`<`[Int][Int]`>()`} */ public infix fun String.and(other: ColumnsResolver): ColumnSet<*> = toColumnAccessor() and other - /** @include [StringAndDocs] {@set [StringAndDocs.Argument] `{ colA `[/][DataColumn.div]` 2.0 `[named][ColumnReference.named]` "half colA" } `} */ + /** @include [StringAndDocs] {@set [StringAndDocs.Argument] `{ colA `[/][DataColumn.div]` 2.0 `[named][ColumnReference.named]` "half colA" \}`} */ public infix fun String.and(other: () -> ColumnsResolver): ColumnSet<*> = toColumnAccessor() and other() /** @include [StringAndDocs] {@set [StringAndDocs.Argument] `"colB"`} */ @@ -167,10 +167,10 @@ public interface AndColumnsSelectionDsl { interface Argument } - /** @include [KPropertyAndDocs] {@set [KPropertyAndDocs.Argument] [colsOf][SingleColumn.colsOf]`<`[Int][Int]`>()} */ + /** @include [KPropertyAndDocs] {@set [KPropertyAndDocs.Argument] [colsOf][SingleColumn.colsOf]`<`[Int][Int]`>()`} */ public infix fun KProperty.and(other: ColumnsResolver): ColumnSet = toColumnAccessor() and other - /** @include [KPropertyAndDocs] {@set [KPropertyAndDocs.Argument] `{ colA `[/][DataColumn.div]` 2.0 `[named][ColumnReference.named]` "half colA" \} `} */ + /** @include [KPropertyAndDocs] {@set [KPropertyAndDocs.Argument] `{ colA `[/][DataColumn.div]` 2.0 `[named][ColumnReference.named]` "half colA" \}`} */ public infix fun KProperty.and(other: () -> ColumnsResolver): ColumnSet = toColumnAccessor() and other() From 3ad0ceb937aba23e8275658b563798433420122a Mon Sep 17 00:00:00 2001 From: Jolan Rensen Date: Wed, 27 Mar 2024 16:22:43 +0100 Subject: [PATCH 09/11] many kdocs space and code-span fixes across all functions --- .../dataframe/api/ColumnsSelectionDsl.kt | 274 +- .../jetbrains/kotlinx/dataframe/api/Nulls.kt | 60 +- .../jetbrains/kotlinx/dataframe/api/all.kt | 2248 ++++++++--------- .../kotlinx/dataframe/api/allExcept.kt | 400 +-- .../jetbrains/kotlinx/dataframe/api/and.kt | 218 +- .../jetbrains/kotlinx/dataframe/api/col.kt | 28 +- .../kotlinx/dataframe/api/colGroup.kt | 28 +- .../kotlinx/dataframe/api/colGroups.kt | 62 +- .../jetbrains/kotlinx/dataframe/api/cols.kt | 1628 ++++++------ .../kotlinx/dataframe/api/colsAtAnyDepth.kt | 94 +- .../kotlinx/dataframe/api/colsInGroups.kt | 74 +- .../jetbrains/kotlinx/dataframe/api/colsOf.kt | 106 +- .../kotlinx/dataframe/api/colsOfKind.kt | 60 +- .../dataframe/api/columnNameFilters.kt | 150 +- .../kotlinx/dataframe/api/columnRange.kt | 26 +- .../kotlinx/dataframe/api/distinct.kt | 10 +- .../jetbrains/kotlinx/dataframe/api/drop.kt | 146 +- .../jetbrains/kotlinx/dataframe/api/expr.kt | 12 +- .../jetbrains/kotlinx/dataframe/api/filter.kt | 18 +- .../jetbrains/kotlinx/dataframe/api/first.kt | 44 +- .../kotlinx/dataframe/api/frameCol.kt | 268 +- .../kotlinx/dataframe/api/frameCols.kt | 62 +- .../jetbrains/kotlinx/dataframe/api/last.kt | 44 +- .../jetbrains/kotlinx/dataframe/api/none.kt | 6 +- .../jetbrains/kotlinx/dataframe/api/rename.kt | 166 +- .../jetbrains/kotlinx/dataframe/api/select.kt | 76 +- .../kotlinx/dataframe/api/simplify.kt | 10 +- .../jetbrains/kotlinx/dataframe/api/single.kt | 44 +- .../jetbrains/kotlinx/dataframe/api/take.kt | 146 +- .../jetbrains/kotlinx/dataframe/api/update.kt | 22 +- .../kotlinx/dataframe/api/valueCol.kt | 240 +- .../kotlinx/dataframe/api/valueCols.kt | 60 +- .../kotlinx/dataframe/api/withoutNulls.kt | 50 +- .../DslGrammarTemplateColumnsSelectionDsl.kt | 118 +- .../dataframe/api/ColumnsSelectionDsl.kt | 24 +- .../jetbrains/kotlinx/dataframe/api/all.kt | 58 +- .../kotlinx/dataframe/api/allExcept.kt | 20 +- .../jetbrains/kotlinx/dataframe/api/and.kt | 32 +- .../jetbrains/kotlinx/dataframe/api/col.kt | 6 +- .../kotlinx/dataframe/api/colGroup.kt | 6 +- .../kotlinx/dataframe/api/colGroups.kt | 26 +- .../jetbrains/kotlinx/dataframe/api/cols.kt | 234 +- .../kotlinx/dataframe/api/colsAtAnyDepth.kt | 34 +- .../kotlinx/dataframe/api/colsInGroups.kt | 26 +- .../jetbrains/kotlinx/dataframe/api/colsOf.kt | 30 +- .../kotlinx/dataframe/api/colsOfKind.kt | 22 +- .../dataframe/api/columnNameFilters.kt | 44 +- .../kotlinx/dataframe/api/columnRange.kt | 22 +- .../kotlinx/dataframe/api/distinct.kt | 4 +- .../jetbrains/kotlinx/dataframe/api/drop.kt | 36 +- .../jetbrains/kotlinx/dataframe/api/expr.kt | 8 +- .../jetbrains/kotlinx/dataframe/api/filter.kt | 12 +- .../jetbrains/kotlinx/dataframe/api/first.kt | 20 +- .../kotlinx/dataframe/api/frameCol.kt | 14 +- .../kotlinx/dataframe/api/frameCols.kt | 26 +- .../jetbrains/kotlinx/dataframe/api/last.kt | 20 +- .../jetbrains/kotlinx/dataframe/api/none.kt | 4 +- .../jetbrains/kotlinx/dataframe/api/rename.kt | 14 +- .../jetbrains/kotlinx/dataframe/api/select.kt | 36 +- .../kotlinx/dataframe/api/simplify.kt | 4 +- .../jetbrains/kotlinx/dataframe/api/single.kt | 20 +- .../jetbrains/kotlinx/dataframe/api/take.kt | 36 +- .../jetbrains/kotlinx/dataframe/api/update.kt | 22 +- .../kotlinx/dataframe/api/valueCol.kt | 14 +- .../kotlinx/dataframe/api/valueCols.kt | 24 +- .../kotlinx/dataframe/api/withoutNulls.kt | 14 +- .../CommonTakeAndDropWhileDocs.kt | 6 +- .../DslGrammarTemplateColumnsSelectionDsl.kt | 96 +- .../TakeAndDropColumnsSelectionDslGrammar.kt | 18 +- 69 files changed, 4015 insertions(+), 4015 deletions(-) diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/ColumnsSelectionDsl.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/ColumnsSelectionDsl.kt index 3061c2252..cdb4a2cef 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/ColumnsSelectionDsl.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/ColumnsSelectionDsl.kt @@ -152,60 +152,60 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ *      * * ### Definitions: - * `columnGroupReference: `[String][String]` | `[KProperty][kotlin.reflect.KProperty]`<*>` + * `columnGroupReference: `[`String`][String]` | `[`KProperty`][kotlin.reflect.KProperty]`<*>` * *                                         - * `| `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * - * `colSelector: `[ColumnSelector][org.jetbrains.kotlinx.dataframe.ColumnSelector] + * `colSelector: `[`ColumnSelector`][org.jetbrains.kotlinx.dataframe.ColumnSelector] * - * `colsSelector: `[ColumnsSelector][org.jetbrains.kotlinx.dataframe.ColumnsSelector] + * `colsSelector: `[`ColumnsSelector`][org.jetbrains.kotlinx.dataframe.ColumnsSelector] * - * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] + * `column: `[`ColumnAccessor`][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[`String`][String] * *             - * `| `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<*> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * - * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] + * `columnGroup: `[`SingleColumn`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`String`][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<* | `[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * - * `columnNoAccessor: `[String][String]` | `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `columnNoAccessor: `[`String`][String]` | `[`KProperty`][kotlin.reflect.KProperty]`<*> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * - * `columnOrSet: `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * `columnOrSet: `[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[`columnSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - * `columnSet: `[ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` + * `columnSet: `[`ColumnSet`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` * - * `columnsResolver: `[ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] + * `columnsResolver: `[`ColumnsResolver`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] * - * `condition: `[ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] + * `condition: `[`ColumnFilter`][org.jetbrains.kotlinx.dataframe.ColumnFilter] * * `expression: `[Column Expression][org.jetbrains.kotlinx.dataframe.documentation.ColumnExpression] * - * `ignoreCase: `[Boolean][Boolean] + * `ignoreCase: `[`Boolean`][Boolean] * - * `index: `[Int][Int] + * `index: `[`Int`][Int] * - * `indexRange: `[IntRange][IntRange] + * `indexRange: `[`IntRange`][IntRange] * - * `infer: `[Infer][org.jetbrains.kotlinx.dataframe.api.Infer] + * `infer: `[`Infer`][org.jetbrains.kotlinx.dataframe.api.Infer] * - * `kind: `[ColumnKind][org.jetbrains.kotlinx.dataframe.columns.ColumnKind] + * `kind: `[`ColumnKind`][org.jetbrains.kotlinx.dataframe.columns.ColumnKind] * - * `kType: `[KType][kotlin.reflect.KType] + * `kType: `[`KType`][kotlin.reflect.KType] * - * `name: `[String][String] + * `name: `[`String`][String] * - * `number: `[Int][Int] + * `number: `[`Int`][Int] * - * `regex: `[Regex][Regex] + * `regex: `[`Regex`][Regex] * - * `singleColumn: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` + * `singleColumn: `[`SingleColumn`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` * * `T: Column type` * - * `text: `[String][String] + * `text: `[`String`][String] * *      * @@ -214,61 +214,61 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * *      * - * [column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` `[**..**][org.jetbrains.kotlinx.dataframe.api.ColumnRangeColumnsSelectionDsl.rangeTo]` `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef] + * [`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` `[**`..`**][org.jetbrains.kotlinx.dataframe.api.ColumnRangeColumnsSelectionDsl.rangeTo]` `[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef] * - * `| `**`this`**`/`**`it`**[**`[`**][cols][column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` .. `[**`]`**][cols] + * `| `**`this`**`/`**`it`**[**`[`**][cols][`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` .. `[**`]`**][cols] * - * `| `**`this`**`/`**`it`**[**`[`**][cols]**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**[**`]`**][cols] + * `| `**`this`**`/`**`it`**[**`[`**][cols]**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**[**`]`**][cols] * - * `| `[**all**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]**`()`** + * `| `[**`all`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]**`()`** * - * `| `**`all`**`(`[**Before**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`|`[**After**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`|`[**From**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`|`[**UpTo**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`) ( `**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`**` | `**`{ `**[colSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSelectorDef]**` }`**` )` + * `| `**`all`**`(`[**`Before`**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`|`[**`After`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`|`[**`From`**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`|`[**`UpTo`**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`) ( `**`(`**[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`**` | `**`{ `**[`colSelector`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSelectorDef]**` }`**` )` * - * `| `[**allExcept**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]**` { `**[colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` }`** + * `| `[**`allExcept`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]**` { `**[`colsSelector`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` }`** * - * `| `[**allExcept**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` ..`**`)`** + * `| `[**`allExcept`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]**`(`**[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` ..`**`)`** * - * `| `[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]` `[**and**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` [ `**`{`**` ] `[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]` [ `**`}`**` ] ` + * `| `[`columnOrSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]` `[**`and`**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` [ `**`{`**` ] `[`columnOrSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]` [ `**`}`**` ] ` * - * `| `[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**`.`**[**and**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]**` (`**`|`**`{ `**[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**` }`**`|`**`)`** + * `| `[`columnOrSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]__`.`__[**`and`**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]**` (`**`|`**`{ `**[`columnOrSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**` }`**`|`**`)`** * - * `| (`[**col**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.col]`| `[**valueCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCol]`| `[**frameCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.frameCol]`| `[**colGroup**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`)[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** + * `| (`[**`col`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.col]`| `[**`valueCol`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCol]`| `[**`frameCol`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.frameCol]`| `[**`colGroup`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`)[`**`<`**[`T`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[`index`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** * - * `| (`[**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`| `[**valueCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]`| `[**frameCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`| `[**colGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`) [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` + * `| (`[**`cols`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`| `[**`valueCols`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]`| `[**`frameCols`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`| `[**`colGroups`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`) [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - * `| `[**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` .. | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`,`**` .. | `[indexRange][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexRangeDef]**`)`** + * `| `[**`cols`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`[`**`<`**[`T`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` .. | `[`index`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`,`**` .. | `[`indexRange`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexRangeDef]**`)`** * - * `| `[**colsAtAnyDepth**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` + * `| `[**`colsAtAnyDepth`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - * `| `[**colsInGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` + * `| `[**`colsInGroups`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - * `| `[**colsOf**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**` [ `**`(`**[kType][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.KTypeDef]**`)`**` ] [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` + * `| `[**colsOf**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]**`<`**[`T`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**` [ `**`(`**[`kType`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.KTypeDef]**`)`**` ] [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - * `| `[**colsOfKind**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]**`(`**[kind][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnKindDef]**`,`**` ..`**`)`**` [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` + * `| `[**`colsOfKind`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]**`(`**[`kind`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnKindDef]**`,`**` ..`**`)`**` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - * `| `[**drop**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.drop]`(`[**Last**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.dropLast]`)`**`(`**[number][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** + * `| `[**`drop`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.drop]`(`[**`Last`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.dropLast]`)`**`(`**[`number`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** * - * `| `[**drop**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.dropWhile]`(`[**Last**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.dropLastWhile]`)`[**While**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.dropWhile]**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** + * `| `[**`drop`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.dropWhile]`(`[**`Last`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.dropLastWhile]`)`[**`While`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.dropWhile]**` { `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** * - * `| `[**expr**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.expr]**`(`**`[`[name][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NameDef]**`,`**`][`[infer][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.InferDef]`]`**`) { `**[expression][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnExpressionDef]**` }`** + * `| `[**`expr`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.expr]**`(`**`[`[`name`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NameDef]**`,`**`][`[`infer`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.InferDef]`]`**`) { `**[`expression`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnExpressionDef]**` }`** * - * `| (`[**first**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.first]`| `[**last**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.last]`| `[**single**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.single]`) [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` + * `| (`[**`first`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.first]`| `[**`last`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.last]`| `[**`single`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.single]`) [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - * `| `[**nameContains**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameContains]**`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[regex][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** + * `| `[**`nameContains`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameContains]**`(`**[`text`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[`ignoreCase`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[`regex`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** * - * `| `**`name`**`(`[**Starts**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameEndsWith]`)`**`With`**__`(`__[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** + * `| `__`name`__`(`[**`Starts`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameStartsWith]`|`[**`Ends`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameEndsWith]`)`**`With`**__`(`__[`text`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[`ignoreCase`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** * - * `| `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` `[**named**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.named]`/`[**into**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.into]` `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef] + * `| `[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` `[**named**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.named]`/`[**into**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.into]` `[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef] * - * `| `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]`(`**`.`**[**named**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.named]`|`**`.`**[**into**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.into]`)`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`** + * `| `[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]`(`__`.`__[**named**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.named]`|`__`.`__[**into**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.into]`)`**`(`**[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`** * - * `| `[**none**][org.jetbrains.kotlinx.dataframe.api.NoneColumnsSelectionDsl.none]**`()`** + * `| `[**`none`**][org.jetbrains.kotlinx.dataframe.api.NoneColumnsSelectionDsl.none]**`()`** * - * `| `[**take**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.take]`(`[**Last**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.takeLast]`)`**`(`**[number][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** + * `| `[**`take`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.take]`(`[**`Last`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.takeLast]`)`**`(`**[`number`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** * - * `| `[**take**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.takeWhile]`(`[**Last**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.takeLastWhile]`)`[**While**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.takeWhile]**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** + * `| `[**`take`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.takeWhile]`(`[**`Last`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.takeLastWhile]`)`[**`While`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.takeWhile]**` { `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** * - * `| `[**withoutNulls**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.withoutNulls]**`()`** + * `| `[**`withoutNulls`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.withoutNulls]**`()`** * *      * @@ -277,61 +277,61 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * *      * - * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * [`columnSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     [**`[`**][ColumnsSelectionDsl.col][index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef][**`]`**][ColumnsSelectionDsl.col] + *     [**`[`**][ColumnsSelectionDsl.col][`index`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef][**`]`**][ColumnsSelectionDsl.col] * - *     `| `[**`[`**][cols][index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`,`**` .. | `[indexRange][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexRangeDef][**`]`**][cols]` + *     `| `[**`[`**][cols][`index`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`,`**` .. | `[`indexRange`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexRangeDef][**`]`**][cols]` * - *     `| `[**`[`**][cols]**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**[**`]`**][cols] + *     `| `[**`[`**][cols]**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**[**`]`**][cols] * - *     `| `**`.`**[**all**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]**`()`** + *     `| `__`.`__[**`all`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]**`()`** * - *     `| `**`.all`**`(`[**Before**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`|`[**After**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`|`[**From**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`|`[**UpTo**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`) ( `**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`**` | `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` )` + *     `| `**`.all`**`(`[**`Before`**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`|`[**`After`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`|`[**`From`**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`|`[**`UpTo`**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`) ( `**`(`**[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`**` | `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` )` * - *     `| `**`.`**[**and**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]**` (`**`|`**`{ `**[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**` }`**`|`**`)`** + *     `| `__`.`__[**`and`**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]**` (`**`|`**`{ `**[`columnOrSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**` }`**`|`**`)`** * - *     `| (`**`.`**[**col**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.col]`| `**`.`**[**valueCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCol]`| `**`.`**[**frameCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.frameCol]`| `**`.`**[**colGroup**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`)`**`(`**[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** + *     `| (`__`.`__[**`col`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.col]`| `__`.`__[**`valueCol`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCol]`| `__`.`__[**`frameCol`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.frameCol]`| `__`.`__[**`colGroup`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`)`**`(`**[`index`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** * - *     `| (`**`.`**[**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`| `**`.`**[**valueCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]`| `**`.`**[**frameCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`| `**`.`**[**colGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`) [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` + *     `| (`__`.`__[**`cols`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`| `__`.`__[**`valueCols`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]`| `__`.`__[**`frameCols`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`| `__`.`__[**`colGroups`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`) [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - *     `| `**`.`**[**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]**`(`**[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`,`**` .. | `[indexRange][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexRangeDef]**`)`** + *     `| `__`.`__[**`cols`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]**`(`**[`index`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`,`**` .. | `[`indexRange`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexRangeDef]**`)`** * - *     `| `**`.`**[**colsAtAnyDepth**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` + *     `| `__`.`__[**`colsAtAnyDepth`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - *     `| `**`.`**[**colsInGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` + *     `| `__`.`__[**`colsInGroups`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - *     `| `**`.`**[**colsOf**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**` [ `**`(`**[kType][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.KTypeDef]**`)`**` ] [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` + *     `| `__`.`__[**`colsOf`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]**`<`**[`T`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**` [ `**`(`**[`kType`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.KTypeDef]**`)`**` ] [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - *     `| `**`.`**[**colsOfKind**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]**`(`**[kind][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnKindDef]**`,`**` ..`**`)`**` [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` + *     `| `__`.`__[**`colsOfKind`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]**`(`**[`kind`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnKindDef]**`,`**` ..`**`)`**` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - *     `| `**`.`**[**distinct**][org.jetbrains.kotlinx.dataframe.api.DistinctColumnsSelectionDsl.distinct]**`()`** + *     `| `__`.`__[**`distinct`**][org.jetbrains.kotlinx.dataframe.api.DistinctColumnsSelectionDsl.distinct]**`()`** * - *     `| `**`.`**[**drop**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.drop]`(`[**Last**][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.dropLast]`)`**`(`**[number][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** + *     `| `__`.`__[**`drop`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.drop]`(`[**`Last`**][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.dropLast]`)`**`(`**[`number`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** * - *     `| `**`.`**[**drop**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.dropWhile]`(`[**Last**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.dropLastWhile]`)`[**While**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.dropWhile]**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** + *     `| `__`.`__[**`drop`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.dropWhile]`(`[**`Last`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.dropLastWhile]`)`[**`While`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.dropWhile]**` { `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** * - *     `| `[**except**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.except]` [`**` { `**`] `[columnsResolver][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsResolverDef]` [`**` } `**`]` + *     `| `[**`except`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.except]` [`**` { `**`] `[`columnsResolver`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsResolverDef]` [`**` } `**`]` * - *     `| `[**except**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.except]` `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef] + *     `| `[**`except`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.except]` `[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef] * - *     `| `**`.`**[**except**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.except]**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` ..`**`)`** + *     `| `**`.`**[**`except`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.except]**`(`**[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` ..`**`)`** * - *     `| `**`.`**[**filter**][org.jetbrains.kotlinx.dataframe.api.FilterColumnsSelectionDsl.filter]**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** + *     `| `__`.`__[**`filter`**][org.jetbrains.kotlinx.dataframe.api.FilterColumnsSelectionDsl.filter]**` { `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** * - *     `| (`**`.`**[**first**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.first]`| `**`.`**[**last**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.last]`| `**`.`**[**single**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.single]`) [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` + *     `| (`__`.`__[**`first`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.first]`| `__`.`__[**`last`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.last]`| `__`.`__[**`single`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.single]`) [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - *     `| `**`.name`**`(`[**Starts**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameEndsWith]`)`**`With`**__`(`__[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** + *     `| `__`.name`__`(`[**`Starts`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameStartsWith]`|`[**`Ends`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameEndsWith]`)`**`With`**__`(`__[`text`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[`ignoreCase`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** * - *     `| `**`.`**[**nameContains**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameContains]**`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[regex][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** + *     `| `__`.`__[**`nameContains`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameContains]**`(`**[`text`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[`ignoreCase`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[`regex`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** * - *     `| `**`.`**[**simplify**][org.jetbrains.kotlinx.dataframe.api.SimplifyColumnsSelectionDsl.simplify]**`()`** + *     `| `__`.`__[**`simplify`**][org.jetbrains.kotlinx.dataframe.api.SimplifyColumnsSelectionDsl.simplify]**`()`** * - *     `| `**`.`**[**take**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.take]`(`[**Last**][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.takeLast]`)`**`(`**[number][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** + *     `| `__`.`__[**`take`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.take]`(`[**`Last`**][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.takeLast]`)`**`(`**[`number`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** * - *     `| `**`.`**[**take**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.takeWhile]`(`[**Last**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.takeLastWhile]`)`[**While**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.takeWhile]**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** + *     `| `__`.`__[**`take`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.takeWhile]`(`[**`Last`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.takeLastWhile]`)`[**`While`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.takeWhile]**` { `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** * - *     `| `**`.`**[**withoutNulls**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.withoutNulls]**`()`** + *     `| `__`.`__[**`withoutNulls`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.withoutNulls]**`()`** * *      * @@ -340,73 +340,73 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * *      * - * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] + * [`columnGroup`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     `| `[**`[`**][cols][column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` ..`[**`]`**][cols] + *     `| `[**`[`**][cols][`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` ..`[**`]`**][cols] * - *     `| `[**`[`**][cols]**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**[**`]`**][cols] + *     `| `[**`[`**][cols]**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**[**`]`**][cols] * - *     `| `[**`{`**][ColumnsSelectionDsl.select]` `[colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]` `[**`}`**][ColumnsSelectionDsl.select] + *     `| `[**`{`**][ColumnsSelectionDsl.select]` `[`colsSelector`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]` `[**`}`**][ColumnsSelectionDsl.select] * - *     `| `**`.`**[**allCols**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]**`()`** + *     `| `__`.`__[**`allCols`**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]**`()`** * - *     `| `**`.allCols`**`(`[**Before**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`|`[**After**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`|`[**From**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`|`[**UpTo**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`) ( `**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`**` | `**`{ `**[colSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSelectorDef]**` }`**` )` + *     `| `**`.allCols`**`(`[**`Before`**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`|`[**`After`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`|`[**`From`**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`|`[**`UpTo`**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`) ( `**`(`**[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`**` | `**`{ `**[`colSelector`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSelectorDef]**` }`**` )` * - *     `| `**`.`**[**allColsExcept**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.allColsExcept]**` { `**[colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` } `** + *     `| `__`.`__[**`allColsExcept`**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.allColsExcept]**` { `**[`colsSelector`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` } `** * - *     `| `**`.`**[**allColsExcept**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.allColsExcept]**`(`**[columnNoAccessor][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnNoAccessorDef]**`,`**` ..`**`)`** + *     `| `__`.`__[**`allColsExcept`**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.allColsExcept]**`(`**[`columnNoAccessor`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnNoAccessorDef]**`,`**` ..`**`)`** * - *     `| `**`.`**[**and**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]**` (`**`|`**`{ `**[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**` }`**`|`**`)`** + *     `| `__`.`__[**`and`**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]**` (`**`|`**`{ `**[`columnOrSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**` }`**`|`**`)`** * - *     `| (`**`.`**[**col**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.col]`| `**`.`**[**valueCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCol]`| `**`.`**[**frameCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.frameCol]`| `**`.`**[**colGroup**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`)[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** + *     `| (`__`.`__[**`col`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.col]`| `__`.`__[**`valueCol`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCol]`| `__`.`__[**`frameCol`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.frameCol]`| `__`.`__[**`colGroup`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`)[`**`<`**[`T`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[`index`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** * - *     `| (`**`.`**[**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`| `**`.`**[**valueCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]`| `**`.`**[**frameCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`| `**`.`**[**colGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`) [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` + *     `| (`__`.`__[**`cols`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`| `__`.`__[**`valueCols`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]`| `__`.`__[**`frameCols`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`| `__`.`__[**`colGroups`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`) [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - *     `| `**`.`**[**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` .. | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`,`**` .. | `[indexRange][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexRangeDef]**`)`** + *     `| `__`.`__[**`cols`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`[`**`<`**[`T`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` .. | `[`index`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`,`**` .. | `[`indexRange`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexRangeDef]**`)`** * - *     `| `**`.`**[**colsAtAnyDepth**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` + *     `| `__`.`__[**`colsAtAnyDepth`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - *     `| `**`.`**[**colsInGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` + *     `| `__`.`__[**`colsInGroups`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - *     `| `**`.colsName`**`(`[**Starts**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameStartsWith]`|`[**Ends**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameEndsWith]`)`**`With`**__`(`__[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** + *     `| `__`.colsName`__`(`[**`Starts`**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameStartsWith]`|`[**`Ends`**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameEndsWith]`)`**`With`**__`(`__[`text`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[`ignoreCase`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** * - *     `| `**`.`**[**colsNameContains**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameContains]**`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[regex][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** + *     `| `__`.`__[**`colsNameContains`**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameContains]**`(`**[`text`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[`ignoreCase`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[`regex`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** * - *     `| `**`.`**[**colsOfKind**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]**`(`**[kind][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnKindDef]**`,`**` ..`**`)`**` [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` + *     `| `__`.`__[**`colsOfKind`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]**`(`**[`kind`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnKindDef]**`,`**` ..`**`)`**` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - *     `| `**`.`**[**colsWithoutNulls**][org.jetbrains.kotlinx.dataframe.api.WithoutNullsColumnsSelectionDsl.colsWithoutNulls]**`()`** + *     `| `__`.`__[**`colsWithoutNulls`**][org.jetbrains.kotlinx.dataframe.api.WithoutNullsColumnsSelectionDsl.colsWithoutNulls]**`()`** * - *     `| `**`.`**[**drop**][org.jetbrains.kotlinx.dataframe.api.DropColumnsSelectionDsl.dropCols]`(`[**Last**][org.jetbrains.kotlinx.dataframe.api.DropColumnsSelectionDsl.dropLastCols]`)`[**Cols**][org.jetbrains.kotlinx.dataframe.api.DropColumnsSelectionDsl.dropCols]**`(`**[number][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** + *     `| `__`.`__[**`drop`**][org.jetbrains.kotlinx.dataframe.api.DropColumnsSelectionDsl.dropCols]`(`[**`Last`**][org.jetbrains.kotlinx.dataframe.api.DropColumnsSelectionDsl.dropLastCols]`)`[**`Cols`**][org.jetbrains.kotlinx.dataframe.api.DropColumnsSelectionDsl.dropCols]**`(`**[`number`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** * - *     `| `**`.`**[**drop**][org.jetbrains.kotlinx.dataframe.api.DropColumnsSelectionDsl.dropColsWhile]`(`[**Last**][org.jetbrains.kotlinx.dataframe.api.DropColumnsSelectionDsl.dropLastColsWhile]`)`[**ColsWhile**][org.jetbrains.kotlinx.dataframe.api.DropColumnsSelectionDsl.dropColsWhile]**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** + *     `| `__`.`__[**`drop`**][org.jetbrains.kotlinx.dataframe.api.DropColumnsSelectionDsl.dropColsWhile]`(`[**`Last`**][org.jetbrains.kotlinx.dataframe.api.DropColumnsSelectionDsl.dropLastColsWhile]`)`[**`ColsWhile`**][org.jetbrains.kotlinx.dataframe.api.DropColumnsSelectionDsl.dropColsWhile]**` { `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** * - *     `| `[**exceptNew**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.exceptNew]**` { `**[colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` } EXPERIMENTAL!`** + *     `| `[**`exceptNew`**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.exceptNew]**` { `**[`colsSelector`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` } EXPERIMENTAL!`** * - *     `| `[**exceptNew**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.exceptNew]**`(`**[columnNoAccessor][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnNoAccessorDef]**`,`**` ..`**`) EXPERIMENTAL!`** + *     `| `[**`exceptNew`**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.exceptNew]**`(`**[`columnNoAccessor`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnNoAccessorDef]**`,`**` ..`**`) EXPERIMENTAL!`** * - *     `| (`**`.`**[**firstCol**][org.jetbrains.kotlinx.dataframe.api.FirstColumnsSelectionDsl.firstCol]`| `**`.`**[**lastCol**][org.jetbrains.kotlinx.dataframe.api.LastColumnsSelectionDsl.lastCol]`| `**`.`**[**singleCol**][org.jetbrains.kotlinx.dataframe.api.SingleColumnsSelectionDsl.singleCol]`) [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` + *     `| (`__`.`__[**`firstCol`**][org.jetbrains.kotlinx.dataframe.api.FirstColumnsSelectionDsl.firstCol]`| `__`.`__[**`lastCol`**][org.jetbrains.kotlinx.dataframe.api.LastColumnsSelectionDsl.lastCol]`| `__`.`__[**`singleCol`**][org.jetbrains.kotlinx.dataframe.api.SingleColumnsSelectionDsl.singleCol]`) [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * - *     `| `**`.`**[**select**][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]**` { `**[colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` }`** + *     `| `__`.`__[**`select`**][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]**` { `**[`colsSelector`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` }`** * - *     `| `**`.`**[**take**][org.jetbrains.kotlinx.dataframe.api.TakeColumnsSelectionDsl.takeCols]`(`[**Last**][org.jetbrains.kotlinx.dataframe.api.TakeColumnsSelectionDsl.takeLastCols]`)`[**Cols**][org.jetbrains.kotlinx.dataframe.api.TakeColumnsSelectionDsl.takeCols]**`(`**[number][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** + *     `| `__`.`__[**`take`**][org.jetbrains.kotlinx.dataframe.api.TakeColumnsSelectionDsl.takeCols]`(`[**`Last`**][org.jetbrains.kotlinx.dataframe.api.TakeColumnsSelectionDsl.takeLastCols]`)`[**`Cols`**][org.jetbrains.kotlinx.dataframe.api.TakeColumnsSelectionDsl.takeCols]**`(`**[`number`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** * - *     `| `**`.`**[**take**][org.jetbrains.kotlinx.dataframe.api.TakeColumnsSelectionDsl.takeColsWhile]`(`[**Last**][org.jetbrains.kotlinx.dataframe.api.TakeColumnsSelectionDsl.takeLastColsWhile]`)`[**ColsWhile**][org.jetbrains.kotlinx.dataframe.api.TakeColumnsSelectionDsl.takeColsWhile]**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** + *     `| `__`.`__[**`take`**][org.jetbrains.kotlinx.dataframe.api.TakeColumnsSelectionDsl.takeColsWhile]`(`[**`Last`**][org.jetbrains.kotlinx.dataframe.api.TakeColumnsSelectionDsl.takeLastColsWhile]`)`[**`ColsWhile`**][org.jetbrains.kotlinx.dataframe.api.TakeColumnsSelectionDsl.takeColsWhile]**` { `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** * * *      * * - * [singleColumn][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.SingleColumnDef] + * [`singleColumn`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.SingleColumnDef] * - *     **`.`**[**colsOf**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**` [ `**`(`**[kType][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.KTypeDef]**`)`**` ] [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` + *     __`.`__[**`colsOf`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]**`<`**[`T`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**` [ `**`(`**[`kType`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.KTypeDef]**`)`**` ] [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * * *      * * - * [columnGroupReference][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupNoSingleColumnDef] + * [`columnGroupReference`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupNoSingleColumnDef] * - *     **`.`**[**colsOf**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>(`**[kType][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.KTypeDef]**`)`**` [ `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` + *     __`.`__[**`colsOf`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]**`<`**[`T`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>(`**[`kType`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.KTypeDef]**`)`**` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * * * @@ -465,19 +465,19 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` { someCol `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` `[colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` { someCol `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` `[colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol" `[{][kotlin.String.select]` "colA" and `[expr][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.expr]` { 0 } `[}][kotlin.String.select]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol" `[{][kotlin.String.select]` "colA" and `[expr][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.expr]` { 0 } `[}][kotlin.String.select]` }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myGroupCol"].`[select][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.select]` { "colA" and "colB" } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { it["myGroupCol"].`[asColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.asColumnGroup]`()`[() {][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` "colA" and "colB" `[}][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { it["myGroupCol"].`[asColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.asColumnGroup]`()`[() {][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` "colA" and "colB" `[}][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { myColGroup.`[select][SingleColumn.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][DataFrame.select]` { myColGroup.`[`select`][SingleColumn.select]` { someCol `[`and`][ColumnsSelectionDsl.and]` `[`colsOf`][SingleColumn.colsOf]`<`[`String`][String]`>() } }` * - * `df.`[select][DataFrame.select]` { myColGroup `[{][SingleColumn.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[}][SingleColumn.select]` }` + * `df.`[select][DataFrame.select]` { myColGroup `[`{`][SingleColumn.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[`}`][SingleColumn.select]` }` * * *      @@ -510,19 +510,19 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` { someCol `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` `[colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` { someCol `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` `[colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol" `[{][kotlin.String.select]` "colA" and `[expr][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.expr]` { 0 } `[}][kotlin.String.select]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol" `[{][kotlin.String.select]` "colA" and `[expr][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.expr]` { 0 } `[}][kotlin.String.select]` }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myGroupCol"].`[select][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.select]` { "colA" and "colB" } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { it["myGroupCol"].`[asColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.asColumnGroup]`()`[() {][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` "colA" and "colB" `[}][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { it["myGroupCol"].`[asColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.asColumnGroup]`()`[() {][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` "colA" and "colB" `[}][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { Type::myColGroup.`[select][KProperty.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][DataFrame.select]` { Type::myColGroup.`[`select`][KProperty.select]` { someCol `[`and`][ColumnsSelectionDsl.and]` `[`colsOf`][SingleColumn.colsOf]`<`[`String`][String]`>() } }` * - * `df.`[select][DataFrame.select]` { DataSchemaType::myColGroup `[`{`][KProperty.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[`}`][KProperty.select]` }` + * `df.`[select][DataFrame.select]` { DataSchemaType::myColGroup `[`{`][KProperty.select]` colA `[`and`][ColumnsSelectionDsl.and]` colB `[`}`][KProperty.select]` }` * * ## NOTE: * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you @@ -562,19 +562,19 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` { someCol `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` `[colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` { someCol `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` `[colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol" `[{][kotlin.String.select]` "colA" and `[expr][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.expr]` { 0 } `[}][kotlin.String.select]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol" `[{][kotlin.String.select]` "colA" and `[expr][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.expr]` { 0 } `[}][kotlin.String.select]` }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myGroupCol"].`[select][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.select]` { "colA" and "colB" } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { it["myGroupCol"].`[asColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.asColumnGroup]`()`[() {][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` "colA" and "colB" `[}][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { it["myGroupCol"].`[asColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.asColumnGroup]`()`[() {][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` "colA" and "colB" `[}][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { Type::myColGroup.`[select][KProperty.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][DataFrame.select]` { Type::myColGroup.`[`select`][KProperty.select]` { someCol `[`and`][ColumnsSelectionDsl.and]` `[`colsOf`][SingleColumn.colsOf]`<`[`String`][String]`>() } }` * - * `df.`[select][DataFrame.select]` { DataSchemaType::myColGroup `[`{`][KProperty.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[`}`][KProperty.select]` }` + * `df.`[select][DataFrame.select]` { DataSchemaType::myColGroup `[`{`][KProperty.select]` colA `[`and`][ColumnsSelectionDsl.and]` colB `[`}`][KProperty.select]` }` * * *      @@ -609,19 +609,19 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` { someCol `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` `[colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` { someCol `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` `[colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol" `[{][kotlin.String.select]` "colA" and `[expr][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.expr]` { 0 } `[}][kotlin.String.select]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol" `[{][kotlin.String.select]` "colA" and `[expr][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.expr]` { 0 } `[}][kotlin.String.select]` }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myGroupCol"].`[select][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.select]` { "colA" and "colB" } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { it["myGroupCol"].`[asColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.asColumnGroup]`()`[() {][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` "colA" and "colB" `[}][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { it["myGroupCol"].`[asColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.asColumnGroup]`()`[() {][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` "colA" and "colB" `[}][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { "myColGroup".`[select][String.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][DataFrame.select]` { "myColGroup".`[`select`][String.select]` { someCol `[`and`][ColumnsSelectionDsl.and]` `[`colsOf`][SingleColumn.colsOf]`<`[`String`][String]`>() } }` * - * `df.`[select][DataFrame.select]` { "myColGroup" `[{][String.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[}][String.select]` }` + * `df.`[select][DataFrame.select]` { "myColGroup" `[`{`][String.select]` colA `[`and`][ColumnsSelectionDsl.and]` colB `[`}`][String.select]` }` * * *      @@ -654,23 +654,23 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` { someCol `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` `[colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` { someCol `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` `[colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol" `[{][kotlin.String.select]` "colA" and `[expr][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.expr]` { 0 } `[}][kotlin.String.select]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol" `[{][kotlin.String.select]` "colA" and `[expr][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.expr]` { 0 } `[}][kotlin.String.select]` }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myGroupCol"].`[select][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.select]` { "colA" and "colB" } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { it["myGroupCol"].`[asColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.asColumnGroup]`()`[() {][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` "colA" and "colB" `[}][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { it["myGroupCol"].`[asColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.asColumnGroup]`()`[() {][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` "colA" and "colB" `[}][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { "pathTo"["myColGroup"].`[select][ColumnPath.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][DataFrame.select]` { "pathTo"["myColGroup"].`[`select`][ColumnPath.select]` { someCol `[`and`][ColumnsSelectionDsl.and]` `[`colsOf`][SingleColumn.colsOf]`<`[`String`][String]`>() } }` * - * `df.`[select][DataFrame.select]` { "pathTo"["myColGroup"] `[{][ColumnPath.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[}][ColumnPath.select]` }` + * `df.`[select][DataFrame.select]` { "pathTo"["myColGroup"] `[`{`][ColumnPath.select]` colA `[`and`][ColumnsSelectionDsl.and]` colB `[`}`][ColumnPath.select]` }` * - * `df.`[select][DataFrame.select]` { `[pathOf][pathOf]`("pathTo", "myColGroup").`[select][ColumnPath.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][DataFrame.select]` { `[`pathOf`][pathOf]`("pathTo", "myColGroup").`[`select`][ColumnPath.select]` { someCol `[`and`][ColumnsSelectionDsl.and]` `[`colsOf`][SingleColumn.colsOf]`<`[`String`][String]`>() } }` * - * `df.`[select][DataFrame.select]` { `[pathOf][pathOf]`("pathTo", "myColGroup")`[() {][ColumnPath.select]` someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() `[}][ColumnPath.select]` }` + * `df.`[select][DataFrame.select]` { `[`pathOf`][pathOf]`("pathTo", "myColGroup")`[`() {`][ColumnPath.select]` someCol `[`and`][ColumnsSelectionDsl.and]` `[`colsOf`][SingleColumn.colsOf]`<`[`String`][String]`>() `[`}`][ColumnPath.select]` }` * * *      diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/Nulls.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/Nulls.kt index cd54fe829..0947c1eb9 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/Nulls.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/Nulls.kt @@ -31,34 +31,34 @@ internal interface FillNulls { *      * * - * [**fillNulls**][fillNulls]**` { `**[columns][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns]**` }`** + * [**fillNulls**][fillNulls]**` { `**[`columns`][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns]**` }`** * *      - * `[ .`[**where**][org.jetbrains.kotlinx.dataframe.api.Update.where]**` { `**[rowValueCondition][org.jetbrains.kotlinx.dataframe.documentation.SelectingRows.RowValueCondition.WithExample]**` } `**`]` + * `[ `__`.`__[**`where`**][org.jetbrains.kotlinx.dataframe.api.Update.where]**` { `**[`rowValueCondition`][org.jetbrains.kotlinx.dataframe.documentation.SelectingRows.RowValueCondition.WithExample]**` } `**`]` * *      - * `[ .`[**at**][org.jetbrains.kotlinx.dataframe.api.Update.at]**`(`**[rowIndices][org.jetbrains.kotlinx.dataframe.api.CommonUpdateAtFunctionDoc.RowIndicesParam]**`)`**` ]` + * `[ `__`.`__[**`at`**][org.jetbrains.kotlinx.dataframe.api.Update.at]**`(`**[`rowIndices`][org.jetbrains.kotlinx.dataframe.api.CommonUpdateAtFunctionDoc.RowIndicesParam]**`)`**` ]` * *      - * `.`[**with**][org.jetbrains.kotlinx.dataframe.api.Update.with]**` { `**[rowExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** + * __`.`__[**`with`**][org.jetbrains.kotlinx.dataframe.api.Update.with]**` { `**[`rowExpression`][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** * *      - * `| .`[**notNull**][org.jetbrains.kotlinx.dataframe.api.Update.notNull]**` { `**[rowExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** + * `| `__`.`__[**`notNull`**][org.jetbrains.kotlinx.dataframe.api.Update.notNull]**` { `**[`rowExpression`][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** * *      - * `| .`[**perCol**][org.jetbrains.kotlinx.dataframe.api.Update.perCol]**` { `**[colExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenColumn.ColumnExpression.WithExample]**` }`** + * `| `__`.`__[**`perCol`**][org.jetbrains.kotlinx.dataframe.api.Update.perCol]**` { `**[`colExpression`][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenColumn.ColumnExpression.WithExample]**` }`** * *      - * `| .`[**perRowCol**][org.jetbrains.kotlinx.dataframe.api.Update.perRowCol]**` { `**[rowColExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRowAndColumn.RowColumnExpression.WithExample]**` }`** + * `| `__`.`__[**`perRowCol`**][org.jetbrains.kotlinx.dataframe.api.Update.perRowCol]**` { `**[`rowColExpression`][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRowAndColumn.RowColumnExpression.WithExample]**` }`** * *      - * `| .`[**withNull**][org.jetbrains.kotlinx.dataframe.api.Update.withNull]**`()`** + * `| `__`.`__[**`withNull`**][org.jetbrains.kotlinx.dataframe.api.Update.withNull]**`()`** * *      - * `| .`[**withZero**][org.jetbrains.kotlinx.dataframe.api.Update.withZero]**`()`** + * `| `__`.`__[**`withZero`**][org.jetbrains.kotlinx.dataframe.api.Update.withZero]**`()`** * *      - * `| .`[**asFrame**][org.jetbrains.kotlinx.dataframe.api.Update.asFrame]**` { `**[dataFrameExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenDataFrame.DataFrameExpression.WithExample]**` }`** + * `| `__`.`__[**`asFrame`**][org.jetbrains.kotlinx.dataframe.api.Update.asFrame]**` { `**[`dataFrameExpression`][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenDataFrame.DataFrameExpression.WithExample]**` }`** * */ interface Grammar @@ -329,34 +329,34 @@ internal interface FillNaNs { *      * * - * [fillNaNs][fillNaNs]**` { `**[columns][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns]**` }`** + * [fillNaNs][fillNaNs]**` { `**[`columns`][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns]**` }`** * *      - * `[ .`[**where**][org.jetbrains.kotlinx.dataframe.api.Update.where]**` { `**[rowValueCondition][org.jetbrains.kotlinx.dataframe.documentation.SelectingRows.RowValueCondition.WithExample]**` } `**`]` + * `[ `__`.`__[**`where`**][org.jetbrains.kotlinx.dataframe.api.Update.where]**` { `**[`rowValueCondition`][org.jetbrains.kotlinx.dataframe.documentation.SelectingRows.RowValueCondition.WithExample]**` } `**`]` * *      - * `[ .`[**at**][org.jetbrains.kotlinx.dataframe.api.Update.at]**`(`**[rowIndices][org.jetbrains.kotlinx.dataframe.api.CommonUpdateAtFunctionDoc.RowIndicesParam]**`)`**` ]` + * `[ `__`.`__[**`at`**][org.jetbrains.kotlinx.dataframe.api.Update.at]**`(`**[`rowIndices`][org.jetbrains.kotlinx.dataframe.api.CommonUpdateAtFunctionDoc.RowIndicesParam]**`)`**` ]` * *      - * `.`[**with**][org.jetbrains.kotlinx.dataframe.api.Update.with]**` { `**[rowExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** + * __`.`__[**`with`**][org.jetbrains.kotlinx.dataframe.api.Update.with]**` { `**[`rowExpression`][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** * *      - * `| .`[**notNull**][org.jetbrains.kotlinx.dataframe.api.Update.notNull]**` { `**[rowExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** + * `| `__`.`__[**`notNull`**][org.jetbrains.kotlinx.dataframe.api.Update.notNull]**` { `**[`rowExpression`][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** * *      - * `| .`[**perCol**][org.jetbrains.kotlinx.dataframe.api.Update.perCol]**` { `**[colExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenColumn.ColumnExpression.WithExample]**` }`** + * `| `__`.`__[**`perCol`**][org.jetbrains.kotlinx.dataframe.api.Update.perCol]**` { `**[`colExpression`][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenColumn.ColumnExpression.WithExample]**` }`** * *      - * `| .`[**perRowCol**][org.jetbrains.kotlinx.dataframe.api.Update.perRowCol]**` { `**[rowColExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRowAndColumn.RowColumnExpression.WithExample]**` }`** + * `| `__`.`__[**`perRowCol`**][org.jetbrains.kotlinx.dataframe.api.Update.perRowCol]**` { `**[`rowColExpression`][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRowAndColumn.RowColumnExpression.WithExample]**` }`** * *      - * `| .`[**withNull**][org.jetbrains.kotlinx.dataframe.api.Update.withNull]**`()`** + * `| `__`.`__[**`withNull`**][org.jetbrains.kotlinx.dataframe.api.Update.withNull]**`()`** * *      - * `| .`[**withZero**][org.jetbrains.kotlinx.dataframe.api.Update.withZero]**`()`** + * `| `__`.`__[**`withZero`**][org.jetbrains.kotlinx.dataframe.api.Update.withZero]**`()`** * *      - * `| .`[**asFrame**][org.jetbrains.kotlinx.dataframe.api.Update.asFrame]**` { `**[dataFrameExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenDataFrame.DataFrameExpression.WithExample]**` }`** + * `| `__`.`__[**`asFrame`**][org.jetbrains.kotlinx.dataframe.api.Update.asFrame]**` { `**[`dataFrameExpression`][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenDataFrame.DataFrameExpression.WithExample]**` }`** * */ interface Grammar @@ -603,34 +603,34 @@ internal interface FillNA { *      * * - * [fillNA][fillNA]**` { `**[columns][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns]**` }`** + * [fillNA][fillNA]**` { `**[`columns`][org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns]**` }`** * *      - * `[ .`[**where**][org.jetbrains.kotlinx.dataframe.api.Update.where]**` { `**[rowValueCondition][org.jetbrains.kotlinx.dataframe.documentation.SelectingRows.RowValueCondition.WithExample]**` } `**`]` + * `[ `__`.`__[**`where`**][org.jetbrains.kotlinx.dataframe.api.Update.where]**` { `**[`rowValueCondition`][org.jetbrains.kotlinx.dataframe.documentation.SelectingRows.RowValueCondition.WithExample]**` } `**`]` * *      - * `[ .`[**at**][org.jetbrains.kotlinx.dataframe.api.Update.at]**`(`**[rowIndices][org.jetbrains.kotlinx.dataframe.api.CommonUpdateAtFunctionDoc.RowIndicesParam]**`)`**` ]` + * `[ `__`.`__[**`at`**][org.jetbrains.kotlinx.dataframe.api.Update.at]**`(`**[`rowIndices`][org.jetbrains.kotlinx.dataframe.api.CommonUpdateAtFunctionDoc.RowIndicesParam]**`)`**` ]` * *      - * `.`[**with**][org.jetbrains.kotlinx.dataframe.api.Update.with]**` { `**[rowExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** + * __`.`__[**`with`**][org.jetbrains.kotlinx.dataframe.api.Update.with]**` { `**[`rowExpression`][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** * *      - * `| .`[**notNull**][org.jetbrains.kotlinx.dataframe.api.Update.notNull]**` { `**[rowExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** + * `| `__`.`__[**`notNull`**][org.jetbrains.kotlinx.dataframe.api.Update.notNull]**` { `**[`rowExpression`][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** * *      - * `| .`[**perCol**][org.jetbrains.kotlinx.dataframe.api.Update.perCol]**` { `**[colExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenColumn.ColumnExpression.WithExample]**` }`** + * `| `__`.`__[**`perCol`**][org.jetbrains.kotlinx.dataframe.api.Update.perCol]**` { `**[`colExpression`][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenColumn.ColumnExpression.WithExample]**` }`** * *      - * `| .`[**perRowCol**][org.jetbrains.kotlinx.dataframe.api.Update.perRowCol]**` { `**[rowColExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRowAndColumn.RowColumnExpression.WithExample]**` }`** + * `| `__`.`__[**`perRowCol`**][org.jetbrains.kotlinx.dataframe.api.Update.perRowCol]**` { `**[`rowColExpression`][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenRowAndColumn.RowColumnExpression.WithExample]**` }`** * *      - * `| .`[**withNull**][org.jetbrains.kotlinx.dataframe.api.Update.withNull]**`()`** + * `| `__`.`__[**`withNull`**][org.jetbrains.kotlinx.dataframe.api.Update.withNull]**`()`** * *      - * `| .`[**withZero**][org.jetbrains.kotlinx.dataframe.api.Update.withZero]**`()`** + * `| `__`.`__[**`withZero`**][org.jetbrains.kotlinx.dataframe.api.Update.withZero]**`()`** * *      - * `| .`[**asFrame**][org.jetbrains.kotlinx.dataframe.api.Update.asFrame]**` { `**[dataFrameExpression][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenDataFrame.DataFrameExpression.WithExample]**` }`** + * `| `__`.`__[**`asFrame`**][org.jetbrains.kotlinx.dataframe.api.Update.asFrame]**` { `**[`dataFrameExpression`][org.jetbrains.kotlinx.dataframe.documentation.ExpressionsGivenDataFrame.DataFrameExpression.WithExample]**` }`** * */ interface Grammar diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/all.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/all.kt index b74eadf86..977ccfb73 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/all.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/all.kt @@ -101,29 +101,29 @@ public interface AllColumnsSelectionDsl { *      * * ### Definitions: - * `columnSet: `[ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` + * `columnSet: `[`ColumnSet`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` * *      * - * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] + * `columnGroup: `[`SingleColumn`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`String`][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<* | `[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] + * `column: `[`ColumnAccessor`][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[`String`][String] * *             - * `| `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<*> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `colSelector: `[ColumnSelector][org.jetbrains.kotlinx.dataframe.ColumnSelector] + * `colSelector: `[`ColumnSelector`][org.jetbrains.kotlinx.dataframe.ColumnSelector] * *      * - * `condition: `[ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] + * `condition: `[`ColumnFilter`][org.jetbrains.kotlinx.dataframe.ColumnFilter] * *      * @@ -132,9 +132,9 @@ public interface AllColumnsSelectionDsl { * *      * - * [**all**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]**`()`** + * [**`all`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]**`()`** * - * `| `**`all`**`(`[**Before**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`|`[**After**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`|`[**From**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`|`[**UpTo**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`) ( `**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`**` | `**`{ `**[colSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSelectorDef]**` }`**` )` + * `| `**`all`**`(`[**`Before`**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`|`[**`After`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`|`[**`From`**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`|`[**`UpTo`**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`) ( `**`(`**[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`**` | `**`{ `**[`colSelector`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSelectorDef]**` }`**` )` * *      * @@ -143,11 +143,11 @@ public interface AllColumnsSelectionDsl { * *      * - * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * [`columnSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     **`.`**[**all**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]**`()`** + *     __`.`__[**`all`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]**`()`** * - *     `| .`**`all`**`(`[**Before**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`|`[**After**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`|`[**From**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`|`[**UpTo**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`) ( `**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`**` | `**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` )` + *     `| `**`.all`**`(`[**`Before`**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`|`[**`After`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`|`[**`From`**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`|`[**`UpTo`**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`) ( `**`(`**[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`**` | `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` )` * *      * @@ -156,11 +156,11 @@ public interface AllColumnsSelectionDsl { * *      * - * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] + * [`columnGroup`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     **`.`**[**allCols**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]**`()`** + *     __`.`__[**`allCols`**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]**`()`** * - *     `| .`**`allCols`**`(`[**Before**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`|`[**After**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`|`[**From**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`|`[**UpTo**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`) ( `**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`**` | `**`{ `**[colSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSelectorDef]**` }`**` )` + *     `| `**`.allCols`**`(`[**`Before`**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`|`[**`After`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`|`[**`From`**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`|`[**`UpTo`**][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`) ( `**`(`**[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`**` | `**`{ `**[`colSelector`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSelectorDef]**` }`**` )` * * * @@ -177,25 +177,25 @@ public interface AllColumnsSelectionDsl { */ public interface Grammar { - /** [**all**][ColumnsSelectionDsl.all] */ + /** [**`all`**][ColumnsSelectionDsl.all] */ public interface PlainDslName - /** **`.`**[**all**][ColumnsSelectionDsl.all] */ + /** __`.`__[**`all`**][ColumnsSelectionDsl.all] */ public interface ColumnSetName - /** **`.`**[**allCols**][ColumnsSelectionDsl.allCols] */ + /** __`.`__[**`allCols`**][ColumnsSelectionDsl.allCols] */ public interface ColumnGroupName - /** [**Before**][ColumnsSelectionDsl.allColsBefore] */ + /** [**`Before`**][ColumnsSelectionDsl.allColsBefore] */ public interface Before - /** [**After**][ColumnsSelectionDsl.allAfter] */ + /** [**`After`**][ColumnsSelectionDsl.allAfter] */ public interface After - /** [**From**][ColumnsSelectionDsl.allColsFrom] */ + /** [**`From`**][ColumnsSelectionDsl.allColsFrom] */ public interface From - /** [**UpTo**][ColumnsSelectionDsl.allColsUpTo] */ + /** [**`UpTo`**][ColumnsSelectionDsl.allColsUpTo] */ public interface UpTo } @@ -222,13 +222,13 @@ public interface AllColumnsSelectionDsl { * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[move][org.jetbrains.kotlinx.dataframe.DataFrame.move]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() }.`[under][org.jetbrains.kotlinx.dataframe.api.MoveClause.under]`("info")` + * `df.`[move][org.jetbrains.kotlinx.dataframe.DataFrame.move]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() }.`[under][org.jetbrains.kotlinx.dataframe.api.MoveClause.under]`("info")` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroup.`[allCols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allCols]`() }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { "a" in `[name][ColumnWithPath.name]` }.`[all][ColumnSet.all]`() }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { "a" in `[name][ColumnWithPath.name]` }.`[all][ColumnSet.all]`() }` * *      * @@ -236,19 +236,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @see [ColumnsSelectionDsl.rangeTo] @@ -278,29 +278,29 @@ public interface AllColumnsSelectionDsl { * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[move][org.jetbrains.kotlinx.dataframe.DataFrame.move]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() }.`[under][org.jetbrains.kotlinx.dataframe.api.MoveClause.under]`("info")` + * `df.`[move][org.jetbrains.kotlinx.dataframe.DataFrame.move]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() }.`[under][org.jetbrains.kotlinx.dataframe.api.MoveClause.under]`("info")` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroup.`[allCols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allCols]`() }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[all][ColumnsSelectionDsl.all]`() }` + * `df.`[select][DataFrame.select]` { `[all][ColumnsSelectionDsl.all]`() }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @see [ColumnsSelectionDsl.rangeTo] @@ -329,7 +329,7 @@ public interface AllColumnsSelectionDsl { * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[move][org.jetbrains.kotlinx.dataframe.DataFrame.move]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() }.`[under][org.jetbrains.kotlinx.dataframe.api.MoveClause.under]`("info")` + * `df.`[move][org.jetbrains.kotlinx.dataframe.DataFrame.move]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() }.`[under][org.jetbrains.kotlinx.dataframe.api.MoveClause.under]`("info")` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroup.`[allCols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allCols]`() }` * @@ -339,19 +339,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @see [ColumnsSelectionDsl.rangeTo] @@ -380,7 +380,7 @@ public interface AllColumnsSelectionDsl { * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[move][org.jetbrains.kotlinx.dataframe.DataFrame.move]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() }.`[under][org.jetbrains.kotlinx.dataframe.api.MoveClause.under]`("info")` + * `df.`[move][org.jetbrains.kotlinx.dataframe.DataFrame.move]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() }.`[under][org.jetbrains.kotlinx.dataframe.api.MoveClause.under]`("info")` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroup.`[allCols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allCols]`() }` * @@ -390,19 +390,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @see [ColumnsSelectionDsl.rangeTo] @@ -431,7 +431,7 @@ public interface AllColumnsSelectionDsl { * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[move][org.jetbrains.kotlinx.dataframe.DataFrame.move]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() }.`[under][org.jetbrains.kotlinx.dataframe.api.MoveClause.under]`("info")` + * `df.`[move][org.jetbrains.kotlinx.dataframe.DataFrame.move]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() }.`[under][org.jetbrains.kotlinx.dataframe.api.MoveClause.under]`("info")` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroup.`[allCols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allCols]`() }` * @@ -441,19 +441,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @see [ColumnsSelectionDsl.rangeTo] @@ -482,7 +482,7 @@ public interface AllColumnsSelectionDsl { * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[move][org.jetbrains.kotlinx.dataframe.DataFrame.move]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() }.`[under][org.jetbrains.kotlinx.dataframe.api.MoveClause.under]`("info")` + * `df.`[move][org.jetbrains.kotlinx.dataframe.DataFrame.move]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`() }.`[under][org.jetbrains.kotlinx.dataframe.api.MoveClause.under]`("info")` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroup.`[allCols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.allCols]`() }` * @@ -492,19 +492,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @see [ColumnsSelectionDsl.rangeTo] @@ -542,11 +542,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -554,19 +554,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -603,31 +603,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allAfter][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allAfter]` { myColumn `[in][String.contains]` it.`[name][ColumnWithPath.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allAfter][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allAfter]` { myColumn `[in][String.contains]` it.`[name][ColumnWithPath.name]` } }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -664,31 +664,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allAfter][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allAfter]`("pathTo"["myColumn"]) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allAfter][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allAfter]`("pathTo"["myColumn"]) }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -725,31 +725,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allAfter][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allAfter]`("myColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allAfter][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allAfter]`("myColumn") }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -785,31 +785,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allAfter][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allAfter]`(myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allAfter][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allAfter]`(myColumn) }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -845,31 +845,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allAfter][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allAfter]`(Type::myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allAfter][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allAfter]`(Type::myColumn) }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -907,31 +907,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]` { myColumn } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]` { myColumn } }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -967,31 +967,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`("pathTo"["myColumn"]) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`("pathTo"["myColumn"]) }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -1027,31 +1027,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`("myColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`("myColumn") }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -1087,31 +1087,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`(myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`(myColumn) }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -1147,31 +1147,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`(Type::myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allAfter]`(Type::myColumn) }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -1209,11 +1209,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -1221,19 +1221,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -1274,11 +1274,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -1286,19 +1286,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -1342,11 +1342,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -1354,19 +1354,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -1402,11 +1402,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -1414,19 +1414,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -1462,11 +1462,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -1474,19 +1474,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -1524,11 +1524,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -1536,19 +1536,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -1584,11 +1584,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -1596,19 +1596,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -1644,11 +1644,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -1656,19 +1656,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -1704,11 +1704,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -1716,19 +1716,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -1764,11 +1764,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -1776,19 +1776,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -1827,11 +1827,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -1844,19 +1844,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -1896,11 +1896,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -1913,19 +1913,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -1963,11 +1963,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -1980,19 +1980,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -2028,11 +2028,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -2045,19 +2045,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -2093,11 +2093,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -2110,19 +2110,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -2158,11 +2158,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -2175,19 +2175,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -2225,11 +2225,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -2237,19 +2237,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -2285,11 +2285,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -2297,19 +2297,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -2345,11 +2345,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -2357,19 +2357,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -2405,11 +2405,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -2417,19 +2417,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -2465,11 +2465,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsAfter][SingleColumn.allColsAfter]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allAfter][ColumnSet.allAfter]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -2477,19 +2477,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns after [column], excluding [column] itself. @@ -2530,11 +2530,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -2542,19 +2542,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -2591,31 +2591,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allFrom][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allFrom]` { myColumn `[in][String.contains]` it.`[name][ColumnWithPath.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allFrom][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allFrom]` { myColumn `[in][String.contains]` it.`[name][ColumnWithPath.name]` } }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -2652,31 +2652,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allFrom][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allFrom]`("pathTo"["myColumn"]) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allFrom][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allFrom]`("pathTo"["myColumn"]) }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -2713,31 +2713,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allFrom][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allFrom]`("myColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allFrom][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allFrom]`("myColumn") }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -2773,31 +2773,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allFrom][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allFrom]`(myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allFrom][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allFrom]`(myColumn) }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -2833,31 +2833,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allFrom][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allFrom]`(Type::myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allFrom][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allFrom]`(Type::myColumn) }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -2895,31 +2895,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allFrom]` { myColumn } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allFrom]` { myColumn } }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -2955,31 +2955,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allFrom]`("pathTo"["myColumn"]) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allFrom]`("pathTo"["myColumn"]) }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -3015,31 +3015,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allFrom]`("myColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allFrom]`("myColumn") }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -3075,31 +3075,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allFrom]`(myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allFrom]`(myColumn) }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -3135,31 +3135,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allFrom]`(Type::myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allFrom]`(Type::myColumn) }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -3197,11 +3197,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -3209,19 +3209,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -3262,11 +3262,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -3274,19 +3274,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -3330,11 +3330,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -3342,19 +3342,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -3390,11 +3390,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -3402,19 +3402,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -3450,11 +3450,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -3462,19 +3462,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -3512,11 +3512,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -3524,19 +3524,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -3572,11 +3572,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -3584,19 +3584,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -3632,11 +3632,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -3644,19 +3644,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -3692,11 +3692,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -3704,19 +3704,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -3752,11 +3752,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -3764,19 +3764,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -3815,11 +3815,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -3832,19 +3832,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -3884,11 +3884,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -3901,19 +3901,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -3951,11 +3951,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -3968,19 +3968,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -4016,11 +4016,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -4033,19 +4033,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -4081,11 +4081,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -4098,19 +4098,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -4146,11 +4146,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -4163,19 +4163,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -4213,11 +4213,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -4225,19 +4225,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -4273,11 +4273,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -4285,19 +4285,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -4333,11 +4333,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -4345,19 +4345,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -4393,11 +4393,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -4405,19 +4405,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -4453,11 +4453,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsFrom][SingleColumn.allColsFrom]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allFrom][ColumnSet.allFrom]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -4465,19 +4465,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns from [column], including [column] itself. @@ -4518,11 +4518,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -4530,19 +4530,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -4579,31 +4579,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allBefore][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allBefore]` { myColumn `[in][String.contains]` it.`[name][ColumnWithPath.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allBefore][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allBefore]` { myColumn `[in][String.contains]` it.`[name][ColumnWithPath.name]` } }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -4640,31 +4640,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allBefore][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allBefore]`("pathTo"["myColumn"]) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allBefore][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allBefore]`("pathTo"["myColumn"]) }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -4701,31 +4701,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allBefore][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allBefore]`("myColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allBefore][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allBefore]`("myColumn") }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -4761,31 +4761,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allBefore][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allBefore]`(myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allBefore][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allBefore]`(myColumn) }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -4821,31 +4821,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allBefore][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allBefore]`(Type::myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allBefore][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allBefore]`(Type::myColumn) }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -4883,31 +4883,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allBefore]` { myColumn } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allBefore]` { myColumn } }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -4943,31 +4943,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allBefore]`("pathTo"["myColumn"]) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allBefore]`("pathTo"["myColumn"]) }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -5003,31 +5003,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allBefore]`("myColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allBefore]`("myColumn") }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -5063,31 +5063,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allBefore]`(myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allBefore]`(myColumn) }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -5123,31 +5123,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allBefore]`(Type::myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allBefore]`(Type::myColumn) }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -5185,11 +5185,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -5197,19 +5197,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -5250,11 +5250,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -5262,19 +5262,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -5315,11 +5315,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -5327,19 +5327,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -5375,11 +5375,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -5387,19 +5387,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -5435,11 +5435,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -5447,19 +5447,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -5497,11 +5497,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -5509,19 +5509,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -5557,11 +5557,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -5569,19 +5569,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -5617,11 +5617,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -5629,19 +5629,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -5677,11 +5677,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -5689,19 +5689,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -5737,11 +5737,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -5749,19 +5749,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -5800,11 +5800,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -5817,19 +5817,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -5869,11 +5869,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -5886,19 +5886,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -5936,11 +5936,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -5953,19 +5953,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -6001,11 +6001,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -6018,19 +6018,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -6066,11 +6066,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -6083,19 +6083,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -6131,11 +6131,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -6148,19 +6148,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -6198,11 +6198,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -6210,19 +6210,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -6258,11 +6258,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -6270,19 +6270,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -6318,11 +6318,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -6330,19 +6330,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -6378,11 +6378,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -6390,19 +6390,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -6438,11 +6438,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsBefore][SingleColumn.allColsBefore]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allBefore][ColumnSet.allBefore]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -6450,19 +6450,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns before [column], excluding [column] itself. @@ -6503,11 +6503,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -6515,19 +6515,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. @@ -6564,31 +6564,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allUpTo][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allUpTo]` { myColumn `[in][String.contains]` it.`[name][ColumnWithPath.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allUpTo][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allUpTo]` { myColumn `[in][String.contains]` it.`[name][ColumnWithPath.name]` } }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. @@ -6625,31 +6625,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allUpTo][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allUpTo]`("pathTo"["myColumn"]) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allUpTo][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allUpTo]`("pathTo"["myColumn"]) }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. @@ -6686,31 +6686,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allUpTo][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allUpTo]`("myColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allUpTo][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allUpTo]`("myColumn") }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. @@ -6746,31 +6746,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allUpTo][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allUpTo]`(myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allUpTo][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allUpTo]`(myColumn) }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. @@ -6806,31 +6806,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allUpTo][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allUpTo]`(Type::myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { .. }.`[allUpTo][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.allUpTo]`(Type::myColumn) }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. @@ -6868,31 +6868,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]` { myColumn } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]` { myColumn } }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. @@ -6928,31 +6928,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`("pathTo"["myColumn"]) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`("pathTo"["myColumn"]) }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. @@ -6988,31 +6988,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`("myColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`("myColumn") }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. @@ -7048,31 +7048,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(myColumn) }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. @@ -7108,31 +7108,31 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(Type::myColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(Type::myColumn) }` * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. @@ -7170,11 +7170,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -7182,19 +7182,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. @@ -7235,11 +7235,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -7247,19 +7247,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. @@ -7303,11 +7303,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -7315,19 +7315,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. @@ -7363,11 +7363,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -7375,19 +7375,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. @@ -7423,11 +7423,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -7435,19 +7435,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. @@ -7485,11 +7485,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -7497,19 +7497,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. @@ -7545,11 +7545,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -7557,19 +7557,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. @@ -7605,11 +7605,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -7617,19 +7617,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. @@ -7665,11 +7665,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -7677,19 +7677,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. @@ -7725,11 +7725,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -7737,19 +7737,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. @@ -7788,11 +7788,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -7805,19 +7805,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. @@ -7857,11 +7857,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -7874,19 +7874,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. @@ -7924,11 +7924,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -7941,19 +7941,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. @@ -7989,11 +7989,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -8006,19 +8006,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. @@ -8054,11 +8054,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -8071,19 +8071,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. @@ -8119,11 +8119,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -8136,19 +8136,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. @@ -8186,11 +8186,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -8198,19 +8198,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. @@ -8246,11 +8246,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -8258,19 +8258,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. @@ -8306,11 +8306,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -8318,19 +8318,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. @@ -8366,11 +8366,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -8378,19 +8378,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. @@ -8426,11 +8426,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allUpTo]`("someColumn") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroup][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[allColsUpTo][SingleColumn.allColsUpTo]`(someColumn) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[allUpTo][ColumnSet.allUpTo]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -8438,19 +8438,19 @@ public interface AllColumnsSelectionDsl { * * #### Flavors of All (Cols): * - * - [all(Cols)][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column * * @return A new [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing all columns up to [column], including [column] itself. diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/allExcept.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/allExcept.kt index 00015b7d8..0fae38844 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/allExcept.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/allExcept.kt @@ -55,33 +55,33 @@ public interface AllExceptColumnsSelectionDsl { *      * * ### Definitions: - * `columnSet: `[ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` + * `columnSet: `[`ColumnSet`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` * *      * - * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] + * `columnGroup: `[`SingleColumn`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`String`][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<* | `[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `colsSelector: `[ColumnsSelector][org.jetbrains.kotlinx.dataframe.ColumnsSelector] + * `colsSelector: `[`ColumnsSelector`][org.jetbrains.kotlinx.dataframe.ColumnsSelector] * *      * - * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] + * `column: `[`ColumnAccessor`][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[`String`][String] * *             - * `| `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<*> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `columnNoAccessor: `[String][String]` | `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `columnNoAccessor: `[`String`][String]` | `[`KProperty`][kotlin.reflect.KProperty]`<*> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `columnsResolver: `[ColumnsResolver][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] + * `columnsResolver: `[`ColumnsResolver`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] * *      * @@ -90,9 +90,9 @@ public interface AllExceptColumnsSelectionDsl { * *      * - * [**allExcept**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]**` { `**[colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` }`** + * [**`allExcept`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]**` { `**[`colsSelector`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` }`** * - * `| `[**allExcept**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` ..`**`)`** + * `| `[**`allExcept`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.allExcept]**`(`**[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` ..`**`)`** * *      * @@ -101,13 +101,13 @@ public interface AllExceptColumnsSelectionDsl { * *      * - * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * [`columnSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     [**except**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.except]` [`**` { `**`] `[columnsResolver][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsResolverDef]` [`**` } `**`]` + *     [**`except`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.except]` [`**` { `**`] `[`columnsResolver`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsResolverDef]` [`**` } `**`]` * - *     `| `[**except**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.except]` `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef] + *     `| `[**`except`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.except]` `[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef] * - *     `| `**`.`**[**except**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.except]**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` ..`**`)`** + *     `| `**`.`**[**`except`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.except]**`(`**[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` ..`**`)`** * *      * @@ -116,15 +116,15 @@ public interface AllExceptColumnsSelectionDsl { * *      * - * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] + * [`columnGroup`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     **`.`**[**allColsExcept**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.allColsExcept]**` { `**[colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` } `** + *     __`.`__[**`allColsExcept`**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.allColsExcept]**` { `**[`colsSelector`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` } `** * - *     `| `**`.`**[**allColsExcept**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.allColsExcept]**`(`**[columnNoAccessor][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnNoAccessorDef]**`,`**` ..`**`)`** + *     `| `__`.`__[**`allColsExcept`**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.allColsExcept]**`(`**[`columnNoAccessor`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnNoAccessorDef]**`,`**` ..`**`)`** * - *     `| `[**exceptNew**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.exceptNew]**` { `**[colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` } EXPERIMENTAL!`** + *     `| `[**`exceptNew`**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.exceptNew]**` { `**[`colsSelector`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` } EXPERIMENTAL!`** * - *     `| `[**exceptNew**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.exceptNew]**`(`**[columnNoAccessor][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnNoAccessorDef]**`,`**` ..`**`) EXPERIMENTAL!`** + *     `| `[**`exceptNew`**][org.jetbrains.kotlinx.dataframe.api.AllExceptColumnsSelectionDsl.exceptNew]**`(`**[`columnNoAccessor`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnNoAccessorDef]**`,`**` ..`**`) EXPERIMENTAL!`** * * * @@ -139,16 +139,16 @@ public interface AllExceptColumnsSelectionDsl { */ public interface Grammar { - /** [**allExcept**][ColumnsSelectionDsl.allExcept] */ + /** [**`allExcept`**][ColumnsSelectionDsl.allExcept] */ public interface PlainDslName - /** [**except**][ColumnsSelectionDsl.except] */ + /** [**`except`**][ColumnsSelectionDsl.except] */ public interface ColumnSetName - /** **`.`**[**allColsExcept**][ColumnsSelectionDsl.allColsExcept] */ + /** __`.`__[**`allColsExcept`**][ColumnsSelectionDsl.allColsExcept] */ public interface ColumnGroupName - /** [**exceptNew**][ColumnsSelectionDsl.exceptNew] */ + /** [**`exceptNew`**][ColumnsSelectionDsl.exceptNew] */ public interface ColumnGroupExperimentalName } @@ -162,11 +162,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][ColumnSet] * This function can be explained the easiest with [ColumnSets][ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][DataFrame.select]` { `[colsOf][colsOf]`<`[Int][Int]`>() `[except][ColumnSet.except]` (age `[and][ColumnsSelectionDsl.and]` height) }` + * `df.`[select][DataFrame.select]` { `[colsOf][colsOf]`<`[Int][Int]`>() `[except][ColumnSet.except]` (age `[and][ColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet] created by `age `[and][ColumnsSelectionDsl.and]` height` from the [ColumnSet] created by [colsOf][colsOf]`<`[Int][Int]`>()`. * @@ -259,11 +259,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -357,11 +357,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -455,11 +455,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -548,11 +548,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -641,11 +641,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -734,11 +734,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -827,11 +827,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -920,11 +920,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -1013,11 +1013,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -1106,11 +1106,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -1199,11 +1199,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -1296,11 +1296,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -1393,11 +1393,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -1486,11 +1486,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -1578,11 +1578,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -1670,11 +1670,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -1762,11 +1762,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -1858,11 +1858,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -1997,11 +1997,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -2107,11 +2107,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -2201,11 +2201,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -2295,11 +2295,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -2393,11 +2393,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -2503,11 +2503,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -2597,11 +2597,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -2691,11 +2691,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -2789,11 +2789,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -2890,11 +2890,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -3006,11 +3006,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -3100,11 +3100,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -3194,11 +3194,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -3292,11 +3292,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -3402,11 +3402,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -3496,11 +3496,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -3590,11 +3590,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] * This function can be explained the easiest with [ColumnSets][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>() `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` (age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by `age `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` height` from the [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] created by [colsOf][org.jetbrains.kotlinx.dataframe.api.colsOf]`<`[Int][Int]`>()`. * @@ -3688,13 +3688,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]`(colGroup) `[except][ColumnSet.except]` colGroup.col }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]`(colGroup) `[except][ColumnSet.except]` colGroup.col }` * - * `df.`[select][DataFrame.select]` { colGroup `[exceptNew][SingleColumn.except]` { col } }` + * `df.`[select][DataFrame.select]` { colGroup `[exceptNew][SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except] functions @@ -3712,13 +3712,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -3756,13 +3756,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -3782,13 +3782,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -3808,13 +3808,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -3834,13 +3834,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -3860,13 +3860,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -3886,13 +3886,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -3912,13 +3912,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -3956,13 +3956,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -3982,13 +3982,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -4008,13 +4008,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -4034,13 +4034,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -4060,13 +4060,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -4086,13 +4086,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -4112,13 +4112,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -4141,13 +4141,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -4187,13 +4187,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -4213,13 +4213,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -4239,13 +4239,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -4267,13 +4267,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -4295,13 +4295,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -4321,13 +4321,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -4347,13 +4347,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -4375,13 +4375,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -4403,13 +4403,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -4429,13 +4429,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -4455,13 +4455,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -4483,13 +4483,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -4511,13 +4511,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -4555,13 +4555,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -4581,13 +4581,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -4607,13 +4607,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -4637,13 +4637,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions @@ -4663,13 +4663,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup) `[except][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.except]` colGroup.col }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { colGroup `[exceptNew][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][org.jetbrains.kotlinx.dataframe.api.ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.except] functions diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt index c42d525f2..9821120ec 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt @@ -37,25 +37,25 @@ public interface AndColumnsSelectionDsl { *      * * ### Definitions: - * `columnSet: `[ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` + * `columnSet: `[`ColumnSet`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` * *      * - * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] + * `columnGroup: `[`SingleColumn`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`String`][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<* | `[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] + * `column: `[`ColumnAccessor`][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[`String`][String] * *             - * `| `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<*> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `columnOrSet: `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * `columnOrSet: `[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[`columnSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * *      * @@ -64,9 +64,9 @@ public interface AndColumnsSelectionDsl { * *      * - * [columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]` `[**and**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` [ `**`{`**` ] `[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]` [ `**`}`**` ]` + * [`columnOrSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]` `[**`and`**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` [ `**`{`**` ] `[`columnOrSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]` [ `**`}`**` ]` * - * `| `[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**`.`**[**and**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]**` (`**`|`**`{ `**[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**` }`**`|`**`)`** + * `| `[`columnOrSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]__`.`__[**`and`**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]**` (`**`|`**`{ `**[`columnOrSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**` }`**`|`**`)`** * *      * @@ -75,9 +75,9 @@ public interface AndColumnsSelectionDsl { * *      * - * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * [`columnSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     **`.`**[**and**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]**` (`**`|`**`{ `**[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**` }`**`|`**`)`** + *     __`.`__[**`and`**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]**` (`**`|`**`{ `**[`columnOrSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**` }`**`|`**`)`** * *      * @@ -86,9 +86,9 @@ public interface AndColumnsSelectionDsl { * *      * - * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] + * [`columnGroup`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     **`.`**[**and**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]**` (`**`|`**`{ `**[columnOrSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**` }`**`|`**`)`** + *     __`.`__[**`and`**][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]**` (`**`|`**`{ `**[`columnOrSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnOrColumnSetDef]**` }`**`|`**`)`** * * * @@ -105,10 +105,10 @@ public interface AndColumnsSelectionDsl { */ public interface Grammar { - /** [**and**][ColumnsSelectionDsl.and] */ + /** [**`and`**][ColumnsSelectionDsl.and] */ public interface InfixName - /** **`.`**[**and**][ColumnsSelectionDsl.and] */ + /** __`.`__[**`and`**][ColumnsSelectionDsl.and] */ public interface Name } @@ -122,19 +122,19 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][DataFrame.groupBy]` { "colA" `[and][String.and]` colB }` + * `df.`[`groupBy`][DataFrame.groupBy]` { "colA" `[`and`][String.and]` colB }` * - * `df.`[select][DataFrame.select]` {` + * `df.`[`select`][DataFrame.select]` {` * - *     [colsOf][SingleColumn.colsOf]`<`[String][String]`>() `[and][ColumnSet.and]` {` + *     [`colsOf`][SingleColumn.colsOf]`<`[`String`][String]`>() `[`and`][ColumnSet.and]` {` * - *         [colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][DataColumn.name]` }` + *         [`colsAtAnyDepth`][ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[`in`][String.contains]` it.`[`name`][DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][DataFrame.select]` { "colC" `[and][String.and]` Type::colB `[and][KProperty.and]` "pathTo"["colC"] `[and][ColumnPath.and]` colD }` + * `df.`[`select`][DataFrame.select]` { "colC" `[`and`][String.and]` Type::colB `[`and`][KProperty.and]` "pathTo"["colC"] `[`and`][ColumnPath.and]` colD }` * * #### Example for this overload: * @@ -160,23 +160,23 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` + * `df.`[`groupBy`][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[`and`][kotlin.String.and]` colB }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` * - *     [colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` + *     [`colsOf`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[`String`][String]`>() `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` * - *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` + *         [`colsAtAnyDepth`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[`and`][kotlin.String.and]` Type::colB `[`and`][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` * * #### Example for this overload: * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { ... } `[and][ColumnsResolver.and]` `` }` + * `df.`[select][DataFrame.select]` { `[`cols`][ColumnsSelectionDsl.cols]` { ... } `[`and`][ColumnsResolver.and]` `` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -195,23 +195,23 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` + * `df.`[`groupBy`][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[`and`][kotlin.String.and]` colB }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` * - *     [colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` + *     [`colsOf`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[`String`][String]`>() `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` * - *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` + *         [`colsAtAnyDepth`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[`and`][kotlin.String.and]` Type::colB `[`and`][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { ... } `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>()`` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { ... } `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` `[`colsOf`][SingleColumn.colsOf]`<`[`Int`][Int]`>()`` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -227,23 +227,23 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` + * `df.`[`groupBy`][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[`and`][kotlin.String.and]` colB }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` * - *     [colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` + *     [`colsOf`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[`String`][String]`>() `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` * - *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` + *         [`colsAtAnyDepth`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[`and`][kotlin.String.and]` Type::colB `[`and`][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { ... } `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` ``{ colA `[/][DataColumn.div]` 2.0 `[named][ColumnReference.named]` "half colA" }`` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { ... } `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` ``{ colA `[`/`][DataColumn.div]` 2.0 `[`named`][ColumnReference.named]` "half colA" }`` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -259,23 +259,23 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` + * `df.`[`groupBy`][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[`and`][kotlin.String.and]` colB }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` * - *     [colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` + *     [`colsOf`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[`String`][String]`>() `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` * - *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` + *         [`colsAtAnyDepth`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[`and`][kotlin.String.and]` Type::colB `[`and`][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { ... } `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` ``"colB"`` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { ... } `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` ``"colB"`` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -291,23 +291,23 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` + * `df.`[`groupBy`][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[`and`][kotlin.String.and]` colB }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` * - *     [colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` + *     [`colsOf`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[`String`][String]`>() `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` * - *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` + *         [`colsAtAnyDepth`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[`and`][kotlin.String.and]` Type::colB `[`and`][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { ... } `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` ``Type::colB`` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { ... } `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` ``Type::colB`` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -328,23 +328,23 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` + * `df.`[`groupBy`][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[`and`][kotlin.String.and]` colB }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` * - *     [colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` + *     [`colsOf`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[`String`][String]`>() `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` * - *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` + *         [`colsAtAnyDepth`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[`and`][kotlin.String.and]` Type::colB `[`and`][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` * * #### Example for this overload: * - * `df.`[select][DataFrame.select]` { "colA" `[and][String.and]` `` }` + * `df.`[select][DataFrame.select]` { "colA" `[`and`][String.and]` `` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -363,23 +363,23 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` + * `df.`[`groupBy`][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[`and`][kotlin.String.and]` colB }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` * - *     [colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` + *     [`colsOf`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[`String`][String]`>() `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` * - *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` + *         [`colsAtAnyDepth`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[`and`][kotlin.String.and]` Type::colB `[`and`][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[and][kotlin.String.and]` `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>()`` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[`and`][kotlin.String.and]` `[`colsOf`][SingleColumn.colsOf]`<`[`Int`][Int]`>()`` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -395,23 +395,23 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` + * `df.`[`groupBy`][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[`and`][kotlin.String.and]` colB }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` * - *     [colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` + *     [`colsOf`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[`String`][String]`>() `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` * - *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` + *         [`colsAtAnyDepth`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[`and`][kotlin.String.and]` Type::colB `[`and`][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[and][kotlin.String.and]` ``{ colA `[/][DataColumn.div]` 2.0 `[named][ColumnReference.named]` "half colA" }`` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[`and`][kotlin.String.and]` ``{ colA `[`/`][DataColumn.div]` 2.0 `[`named`][ColumnReference.named]` "half colA" }`` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -427,23 +427,23 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` + * `df.`[`groupBy`][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[`and`][kotlin.String.and]` colB }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` * - *     [colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` + *     [`colsOf`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[`String`][String]`>() `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` * - *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` + *         [`colsAtAnyDepth`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[`and`][kotlin.String.and]` Type::colB `[`and`][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[and][kotlin.String.and]` ``"colB"`` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[`and`][kotlin.String.and]` ``"colB"`` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -459,23 +459,23 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` + * `df.`[`groupBy`][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[`and`][kotlin.String.and]` colB }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` * - *     [colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` + *     [`colsOf`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[`String`][String]`>() `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` * - *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` + *         [`colsAtAnyDepth`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[`and`][kotlin.String.and]` Type::colB `[`and`][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[and][kotlin.String.and]` ``Type::colB`` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[`and`][kotlin.String.and]` ``Type::colB`` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -496,23 +496,23 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` + * `df.`[`groupBy`][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[`and`][kotlin.String.and]` colB }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` * - *     [colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` + *     [`colsOf`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[`String`][String]`>() `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` * - *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` + *         [`colsAtAnyDepth`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[`and`][kotlin.String.and]` Type::colB `[`and`][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` * * #### Example for this overload: * - * `df.`[select][DataFrame.select]` { Type::colA `[and][KProperty.and]` `` }` + * `df.`[select][DataFrame.select]` { Type::colA `[`and`][KProperty.and]` `` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -531,23 +531,23 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` + * `df.`[`groupBy`][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[`and`][kotlin.String.and]` colB }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` * - *     [colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` + *     [`colsOf`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[`String`][String]`>() `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` * - *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` + *         [`colsAtAnyDepth`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[`and`][kotlin.String.and]` Type::colB `[`and`][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::colA `[and][kotlin.reflect.KProperty.and]` `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>()`` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::colA `[`and`][kotlin.reflect.KProperty.and]` `[`colsOf`][SingleColumn.colsOf]`<`[`Int`][Int]`>()`` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -563,23 +563,23 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` + * `df.`[`groupBy`][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[`and`][kotlin.String.and]` colB }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` * - *     [colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` + *     [`colsOf`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[`String`][String]`>() `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` * - *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` + *         [`colsAtAnyDepth`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[`and`][kotlin.String.and]` Type::colB `[`and`][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::colA `[and][kotlin.reflect.KProperty.and]` ``{ colA `[/][DataColumn.div]` 2.0 `[named][ColumnReference.named]` "half colA" }`` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::colA `[`and`][kotlin.reflect.KProperty.and]` ``{ colA `[/][DataColumn.div]` 2.0 `[`named`][ColumnReference.named]` "half colA" }`` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -596,23 +596,23 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` + * `df.`[`groupBy`][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[`and`][kotlin.String.and]` colB }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` * - *     [colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` + *     [`colsOf`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[`String`][String]`>() `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` * - *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` + *         [`colsAtAnyDepth`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[`and`][kotlin.String.and]` Type::colB `[`and`][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::colA `[and][kotlin.reflect.KProperty.and]` ``"colB"`` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::colA `[`and`][kotlin.reflect.KProperty.and]` ``"colB"`` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. @@ -628,23 +628,23 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[and][kotlin.String.and]` colB }` + * `df.`[`groupBy`][org.jetbrains.kotlinx.dataframe.DataFrame.groupBy]` { "colA" `[`and`][kotlin.String.and]` colB }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` {` * - *     [colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` + *     [`colsOf`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[`String`][String]`>() `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` {` * - *         [colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` + *         [`colsAtAnyDepth`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }` * *     `}` * * `}` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[and][kotlin.String.and]` Type::colB `[and][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[and][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colC" `[`and`][kotlin.String.and]` Type::colB `[`and`][kotlin.reflect.KProperty.and]` "pathTo"["colC"] `[`and`][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver.and]` colD }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::colA `[and][kotlin.reflect.KProperty.and]` ``Type::colB`` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::colA `[`and`][kotlin.reflect.KProperty.and]` ``Type::colB`` }` * * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] that contains all the columns from the [ColumnsResolvers][org.jetbrains.kotlinx.dataframe.columns.ColumnsResolver] on the left * and right side of the [and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and] operator. diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/col.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/col.kt index 835d0c482..095f75bff 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/col.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/col.kt @@ -43,25 +43,25 @@ public interface ColColumnsSelectionDsl { *      * * ### Definitions: - * `columnSet: `[ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` + * `columnSet: `[`ColumnSet`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` * *      * - * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] + * `columnGroup: `[`SingleColumn`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`String`][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<* | `[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] + * `column: `[`ColumnAccessor`][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[`String`][String] * *             - * `| `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<*> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `index: `[Int][Int] + * `index: `[`Int`][Int] * *      * @@ -74,7 +74,7 @@ public interface ColColumnsSelectionDsl { * *      * - * [**col**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.col]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** + * [**`col`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.col]`[`**`<`**[`T`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[`index`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** * *      * @@ -83,9 +83,9 @@ public interface ColColumnsSelectionDsl { * *      * - * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * [`columnSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     **`.`**[**col**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.col]**`(`**[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`**` | `[**`[`**][ColumnsSelectionDsl.col][index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef][**`]`**][ColumnsSelectionDsl.col] + *     __`.`__[**`col`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.col]**`(`**[`index`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`**` | `[**`[`**][ColumnsSelectionDsl.col][`index`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef][**`]`**][ColumnsSelectionDsl.col] * *      * @@ -94,9 +94,9 @@ public interface ColColumnsSelectionDsl { * *      * - * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] + * [`columnGroup`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     **`.`**[**col**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.col]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** + *     __`.`__[**`col`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.col]`[`**`<`**[`T`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[`index`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** * * * @@ -113,13 +113,13 @@ public interface ColColumnsSelectionDsl { */ public interface Grammar { - /** [**col**][ColumnsSelectionDsl.col] */ + /** [**`col`**][ColumnsSelectionDsl.col] */ public interface PlainDslName - /** **`.`**[**col**][ColumnsSelectionDsl.col] */ + /** __`.`__[**`col`**][ColumnsSelectionDsl.col] */ public interface ColumnSetName - /** **`.`**[**col**][ColumnsSelectionDsl.col] */ + /** __`.`__[**`col`**][ColumnsSelectionDsl.col] */ public interface ColumnGroupName } diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroup.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroup.kt index 7a4e5f6c1..5ef419010 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroup.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroup.kt @@ -43,25 +43,25 @@ public interface ColGroupColumnsSelectionDsl { *      * * ### Definitions: - * `columnSet: `[ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` + * `columnSet: `[`ColumnSet`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` * *      * - * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] + * `columnGroup: `[`SingleColumn`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`String`][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<* | `[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] + * `column: `[`ColumnAccessor`][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[`String`][String] * *             - * `| `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<*> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `index: `[Int][Int] + * `index: `[`Int`][Int] * *      * @@ -74,7 +74,7 @@ public interface ColGroupColumnsSelectionDsl { * *      * - * [**colGroup**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** + * [**`colGroup`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`[`**`<`**[`T`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[`index`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** * *      * @@ -83,9 +83,9 @@ public interface ColGroupColumnsSelectionDsl { * *      * - * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * [`columnSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     **`.`**[**colGroup**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]**`(`**[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** + *     __`.`__[**`colGroup`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]**`(`**[`index`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** * *      * @@ -94,9 +94,9 @@ public interface ColGroupColumnsSelectionDsl { * *      * - * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] + * [`columnGroup`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     **`.`**[**colGroup**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** + *     __`.`__[**`colGroup`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroup]`[`**`<`**[`T`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[`index`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** * * * @@ -113,13 +113,13 @@ public interface ColGroupColumnsSelectionDsl { */ public interface Grammar { - /** [**colGroup**][ColumnsSelectionDsl.colGroup] */ + /** [**`colGroup`**][ColumnsSelectionDsl.colGroup] */ public interface PlainDslName - /** **`.`**[**colGroup**][ColumnsSelectionDsl.colGroup] */ + /** __`.`__[**`colGroup`**][ColumnsSelectionDsl.colGroup] */ public interface ColumnSetName - /** **`.`**[**colGroup**][ColumnsSelectionDsl.colGroup] */ + /** __`.`__[**`colGroup`**][ColumnsSelectionDsl.colGroup] */ public interface ColumnGroupName } diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroups.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroups.kt index 782a93f23..0023ad11e 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroups.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroups.kt @@ -42,18 +42,18 @@ public interface ColGroupsColumnsSelectionDsl { *      * * ### Definitions: - * `columnSet: `[ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` + * `columnSet: `[`ColumnSet`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` * *      * - * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] + * `columnGroup: `[`SingleColumn`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`String`][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<* | `[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `condition: `[ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] + * `condition: `[`ColumnFilter`][org.jetbrains.kotlinx.dataframe.ColumnFilter] * *      * @@ -62,7 +62,7 @@ public interface ColGroupsColumnsSelectionDsl { * *      * - * [**colGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + * [**`colGroups`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * *      * @@ -71,9 +71,9 @@ public interface ColGroupsColumnsSelectionDsl { * *      * - * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * [`columnSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     **`.`**[**colGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     __`.`__[**`colGroups`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * *      * @@ -82,9 +82,9 @@ public interface ColGroupsColumnsSelectionDsl { * *      * - * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] + * [`columnGroup`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     **`.`**[**colGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     __`.`__[**`colGroups`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * * * @@ -101,13 +101,13 @@ public interface ColGroupsColumnsSelectionDsl { */ public interface Grammar { - /** [**colGroups**][ColumnsSelectionDsl.colGroups] */ + /** [**`colGroups`**][ColumnsSelectionDsl.colGroups] */ public interface PlainDslName - /** **`.`**[**colGroups**][ColumnsSelectionDsl.colGroups] */ + /** __`.`__[**`colGroups`**][ColumnsSelectionDsl.colGroups] */ public interface ColumnSetName - /** **`.`**[**colGroups**][ColumnsSelectionDsl.colGroups] */ + /** __`.`__[**`colGroups`**][ColumnsSelectionDsl.colGroups] */ public interface ColumnGroupName } @@ -124,9 +124,9 @@ public interface ColGroupsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][DataFrame.select]` { `[colGroups][ColumnsSelectionDsl.colGroups]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[colGroups][ColumnsSelectionDsl.colGroups]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]`().`[colGroups][ColumnsSelectionDsl.colGroups]`() }` + * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]`().`[colGroups][ColumnsSelectionDsl.colGroups]`() }` * * `df.`[select][DataFrame.select]` { "myColGroup".`[colGroups][String.colGroups]`() }` * @@ -160,19 +160,19 @@ public interface ColGroupsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`() }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[colGroups][kotlin.String.colGroups]`() }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") }.`[colGroups][ColumnSet.colGroups]`() }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") }.`[colGroups][ColumnSet.colGroups]`() }` * * `// NOTE: This can be shortened to just:` * - * `df.`[select][DataFrame.select]` { `[colGroups][ColumnsSelectionDsl.colGroups]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[colGroups][ColumnsSelectionDsl.colGroups]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * * @param [filter] An optional [predicate][org.jetbrains.kotlinx.dataframe.Predicate] to filter the column groups by. * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] of [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup]. @@ -197,17 +197,17 @@ public interface ColGroupsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`() }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[colGroups][kotlin.String.colGroups]`() }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[colGroups][ColumnsSelectionDsl.colGroups]`() }` + * `df.`[select][DataFrame.select]` { `[colGroups][ColumnsSelectionDsl.colGroups]`() }` * - * `df.`[select][DataFrame.select]` { `[colGroups][ColumnsSelectionDsl.colGroups]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[colGroups][ColumnsSelectionDsl.colGroups]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * * @param [filter] An optional [predicate][org.jetbrains.kotlinx.dataframe.Predicate] to filter the column groups by. * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] of [ColumnGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup]. @@ -232,9 +232,9 @@ public interface ColGroupsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`() }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[colGroups][kotlin.String.colGroups]`() }` * @@ -267,9 +267,9 @@ public interface ColGroupsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`() }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[colGroups][kotlin.String.colGroups]`() }` * @@ -302,15 +302,15 @@ public interface ColGroupsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`() }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[colGroups][kotlin.String.colGroups]`() }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[colGroup][ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[colGroups][SingleColumn.colGroups]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[colGroup][ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[colGroups][SingleColumn.colGroups]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * * `df.`[select][DataFrame.select]` { DataSchemaType::myColGroup.`[colGroups][KProperty.colGroups]`() }` * @@ -337,9 +337,9 @@ public interface ColGroupsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`() }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[colGroups][kotlin.String.colGroups]`() }` * diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/cols.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/cols.kt index 08bbd312e..b41710436 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/cols.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/cols.kt @@ -41,29 +41,29 @@ public interface ColsColumnsSelectionDsl { *      * * ### Definitions: - * `columnSet: `[ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` + * `columnSet: `[`ColumnSet`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` * *      * - * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] + * `columnGroup: `[`SingleColumn`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`String`][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<* | `[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] + * `column: `[`ColumnAccessor`][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[`String`][String] * *             - * `| `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<*> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `index: `[Int][Int] + * `index: `[`Int`][Int] * *      * - * `condition: `[ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] + * `condition: `[`ColumnFilter`][org.jetbrains.kotlinx.dataframe.ColumnFilter] * *      * @@ -71,7 +71,7 @@ public interface ColsColumnsSelectionDsl { * *      * - * `indexRange: `[IntRange][IntRange] + * `indexRange: `[`IntRange`][IntRange] * *      * @@ -83,13 +83,13 @@ public interface ColsColumnsSelectionDsl { * *      * - * [**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` .. | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`,`**` .. | `[indexRange][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexRangeDef]**`)`** + * [**`cols`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`[`**`<`**[`T`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` .. | `[`index`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`,`**` .. | `[`indexRange`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexRangeDef]**`)`** * - * `|` [**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` [ `**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` } `**`]` + * `| `[**`cols`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` [ `**` { `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` } `**`]` * - * `|` **`this`**`/`**`it`** [**`[`**][cols]**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**[**`]`**][cols] + * `| `**`this`**`/`**`it `**[**`[`**][cols]**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**[**`]`**][cols] * - * `|` **`this`**`/`**`it`** [**`[`**][cols][column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` .. `[**`]`**][cols] + * `| `**`this`**`/`**`it `**[**`[`**][cols][`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` .. `[**`]`**][cols] * *      * @@ -98,15 +98,15 @@ public interface ColsColumnsSelectionDsl { * *      * - * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * [`columnSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     **`.`**[**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]**`(`**[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`,`**` .. | `[indexRange][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexRangeDef]**`)`** + *     __`.`__[**`cols`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]**`(`**[`index`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`,`**` .. | `[`indexRange`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexRangeDef]**`)`** * - *     `| `**`.`**[**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` [ `**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` } `**`]` + *     `| `__`.`__[**`cols`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` [ `**` { `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` } `**`]` * - *     `| `[**`[`**][cols]**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**[**`]`**][cols] + *     `| `[**`[`**][cols]**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**[**`]`**][cols] * - *     `| `[**`[`**][cols][index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`,`**` .. | `[indexRange][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexRangeDef][**`]`**][cols]` + *     `| `[**`[`**][cols][`index`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`,`**` .. | `[`indexRange`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexRangeDef][**`]`**][cols]` * *      * @@ -115,15 +115,15 @@ public interface ColsColumnsSelectionDsl { * *      * - * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] + * [`columnGroup`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     **`.`**[**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` .. | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`,`**` .. | `[indexRange][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexRangeDef]**`)`** + *     __`.`__[**`cols`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`[`**`<`**[`T`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` .. | `[`index`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`,`**` .. | `[`indexRange`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexRangeDef]**`)`** * - *     `| `**`.`**[**cols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` [ `**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` } `**`]` + *     `| `__`.`__[**`cols`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` [ `**` { `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` } `**`]` * - *     `| `[**`[`**][cols]**`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**[**`]`**][cols] + *     `| `[**`[`**][cols]**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**[**`]`**][cols] * - *     `| `[**`[`**][cols][column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` ..`[**`]`**][cols] + *     `| `[**`[`**][cols][`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`,`**` ..`[**`]`**][cols] * * * @@ -140,13 +140,13 @@ public interface ColsColumnsSelectionDsl { */ public interface Grammar { - /** [**cols**][ColumnsSelectionDsl.cols] */ + /** [**`cols`**][ColumnsSelectionDsl.cols] */ public interface PlainDslName - /** **`.`**[**cols**][ColumnsSelectionDsl.cols] */ + /** __`.`__[**`cols`**][ColumnsSelectionDsl.cols] */ public interface ColumnSetName - /** **`.`**[**cols**][ColumnsSelectionDsl.cols] */ + /** __`.`__[**`cols`**][ColumnsSelectionDsl.cols] */ public interface ColumnGroupName } @@ -160,16 +160,16 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols] directly, you can also use the [get][ColumnSet.get] operator in most cases. + * Aside from calling [cols] directly, you can also use the [`get`][ColumnSet.get] operator in most cases. * * ### Check out: [Grammar] * * #### For example: - * `df.`[remove][DataFrame.remove]` { `[cols][ColumnsSelectionDsl.cols]` { it.`[hasNulls][DataColumn.hasNulls]`() } }` + * `df.`[`remove`][DataFrame.remove]` { `[`cols`][ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][DataColumn.hasNulls]`() } }` * - * `df.`[select][DataFrame.select]` { myGroupCol.`[cols][SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][DataFrame.select]` { myGroupCol.`[`cols`][SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][ColumnSet.cols]`1, 3, 5`[`]`][ColumnSet.cols]` }` + * `df.`[`select`][DataFrame.select]` { `[`colsOf`][ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][ColumnSet.cols]`1, 3, 5`[`]`][ColumnSet.cols]` }` * * #### Examples for this overload: * @@ -188,16 +188,16 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * @@ -229,16 +229,16 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * @@ -270,11 +270,11 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][DataFrame.select]` { `[cols][SingleColumn.cols]`(1, 3, 2) }` + * `df.`[`select`][DataFrame.select]` { `[`cols`][SingleColumn.cols]`(1, 3, 2) }` * - * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][SingleColumn.get]`5, 1, 2`[`]`][SingleColumn.get]` }` + * `df.`[`select`][DataFrame.select]` { `[`colsOf`][ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][SingleColumn.get]`5, 1, 2`[`]`][SingleColumn.get]` }` * - * `df.`[select][DataFrame.select]` { "myColumnGroup".`[cols][String.cols]`(0, 2) }` + * `df.`[`select`][DataFrame.select]` { "myColumnGroup".`[`cols`][String.cols]`(0, 2) }` * * #### Examples for this overload: * @@ -301,11 +301,11 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][DataFrame.select]` { `[cols][SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][DataFrame.select]` { `[`cols`][SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][ColumnSet.cols]` }` + * `df.`[`select`][DataFrame.select]` { `[`colsOf`][ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][ColumnSet.cols]` }` * - * `df.`[select][DataFrame.select]` { "myColGroup".`[cols][String.cols]`(0`[`..`][Int.rangeTo]`2) }` + * `df.`[`select`][DataFrame.select]` { "myColGroup".`[`cols`][String.cols]`(0`[`..`][Int.rangeTo]`2) }` * * #### Examples for this overload: * @@ -334,28 +334,28 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `// although these can be shortened to just the `[colsOf<>{ }][ColumnsSelectionDsl.colsOf]` call` + * `// although these can be shortened to just the `[`colsOf<>{ }`][ColumnsSelectionDsl.colsOf]` call` * - * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[String][String]`>().`[cols][ColumnSet.cols]` { "e" `[in][String.contains]` it.`[name][ColumnPath.name]`() } }` + * `df.`[`select`][DataFrame.select]` { `[`colsOf`][ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>().`[`cols`][ColumnSet.cols]` { "e" `[`in`][String.contains]` it.`[`name`][ColumnPath.name]`() } }` * - * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][ColumnSet.cols]`{ it.`[any][ColumnWithPath.any]` { it == "Alice" } }`[`]`][ColumnSet.cols]` }` + * `df.`[`select`][DataFrame.select]` { `[`colsOf`][ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][ColumnSet.cols]`{ it.`[`any`][ColumnWithPath.any]` { it == "Alice" } }`[`]`][ColumnSet.cols]` }` * - * `// identity call, same as `[all][ColumnsSelectionDsl.all]`()` + * `// identity call, same as `[`all`][ColumnsSelectionDsl.all]`()` * - * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[String][String]`>().`[cols][ColumnSet.cols]`() }` + * `df.`[`select`][DataFrame.select]` { `[`colsOf`][ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>().`[`cols`][ColumnSet.cols]`() }` * * * #### Filter vs. Cols: @@ -384,28 +384,28 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `// although these can be shortened to just the `[colsOf<>{ }][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]` call` + * `// although these can be shortened to just the `[`colsOf<>{ }`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]` call` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>().`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` { "e" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.name]`() } }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>().`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` { "e" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.name]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`{ it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } }`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`{ it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } }`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * - * `// identity call, same as `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`()` + * `// identity call, same as `[`all`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`()` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>().`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`() }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>().`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`() }` * * * #### Filter vs. Cols: @@ -436,28 +436,28 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `// although these can be shortened to just the `[colsOf<>{ }][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]` call` + * `// although these can be shortened to just the `[`colsOf<>{ }`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]` call` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>().`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` { "e" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.name]`() } }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>().`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` { "e" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.name]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`{ it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } }`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`{ it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } }`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * - * `// identity call, same as `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`()` + * `// identity call, same as `[`all`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`()` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>().`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`() }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>().`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`() }` * * * #### Filter vs. Cols: @@ -488,26 +488,26 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { "e" `[in][String.contains]` it.`[name][ColumnPath.name]`() } }` + * `df.`[`select`][DataFrame.select]` { `[`cols`][ColumnsSelectionDsl.cols]` { "e" `[`in`][String.contains]` it.`[`name`][ColumnPath.name]`() } }` * - * `df.`[select][DataFrame.select]` { this`[`[`][ColumnsSelectionDsl.cols]`{ it.`[any][ColumnWithPath.any]` { it == "Alice" } }`[`]`][ColumnsSelectionDsl.cols]` }` + * `df.`[`select`][DataFrame.select]` { this`[`[`][ColumnsSelectionDsl.cols]`{ it.`[`any`][ColumnWithPath.any]` { it == "Alice" } }`[`]`][ColumnsSelectionDsl.cols]` }` * - * `// same as `[all][ColumnsSelectionDsl.all]`()` + * `// same as `[`all`][ColumnsSelectionDsl.all]`()` * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]`() }` + * `df.`[`select`][DataFrame.select]` { `[`cols`][ColumnsSelectionDsl.cols]`() }` * * *      @@ -539,26 +539,26 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "e" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.name]`() } }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "e" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.name]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { this`[`[`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`{ it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } }`[`]`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { this`[`[`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`{ it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } }`[`]`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` }` * - * `// same as `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`()` + * `// same as `[`all`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`()` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`() }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`() }` * * *      @@ -591,26 +591,26 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "e" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.name]`() } }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "e" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.name]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { this`[`[`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`{ it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } }`[`]`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { this`[`[`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`{ it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } }`[`]`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` }` * - * `// same as `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`()` + * `// same as `[`all`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`()` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`() }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`() }` * * *      @@ -644,26 +644,26 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { myColumnGroup`.[cols][SingleColumn.cols]` { "e" `[in][String.contains]` it.`[name][ColumnPath.name]`() } }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup`.[`cols`][SingleColumn.cols]` { "e" `[`in`][String.contains]` it.`[`name`][ColumnPath.name]`() } }` * - * `// same as `[allCols][ColumnsSelectionDsl.allCols]`()` + * `// same as `[`allCols`][ColumnsSelectionDsl.allCols]`()` * - * `df.`[select][DataFrame.select]` { myColumnGroup.`[cols][SingleColumn.cols]`() }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup.`[`cols`][SingleColumn.cols]`() }` * - * `df.`[select][DataFrame.select]` { myColumnGroup`[`[`][SingleColumn.cols]`{ ... }`[`]`][SingleColumn.cols]` }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup`[`[`][SingleColumn.cols]`{ ... }`[`]`][SingleColumn.cols]` }` * *      * @@ -694,26 +694,26 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup`.[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` { "e" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.name]`() } }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup`.[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` { "e" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.name]`() } }` * - * `// same as `[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()` + * `// same as `[`allCols`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`() }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`() }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`{ ... }`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`{ ... }`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` * *      * @@ -746,26 +746,26 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup`.[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` { "e" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.name]`() } }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup`.[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` { "e" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.name]`() } }` * - * `// same as `[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()` + * `// same as `[`allCols`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`() }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`() }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`{ ... }`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`{ ... }`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` * *      * @@ -799,26 +799,26 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { "myGroupCol".`[cols][String.cols]` { "e" `[in][String.contains]` it.`[name][ColumnPath.name]`() } }` + * `df.`[`select`][DataFrame.select]` { "myGroupCol".`[`cols`][String.cols]` { "e" `[`in`][String.contains]` it.`[`name`][ColumnPath.name]`() } }` * - * `df.`[select][DataFrame.select]` { "myGroupCol"`[`[`][String.cols]`{ it.`[any][ColumnWithPath.any]` { it == "Alice" } }`[`]`][String.cols]` }` + * `df.`[`select`][DataFrame.select]` { "myGroupCol"`[`[`][String.cols]`{ it.`[`any`][ColumnWithPath.any]` { it == "Alice" } }`[`]`][String.cols]` }` * - * `// same as `[allCols][ColumnsSelectionDsl.allCols]`()` + * `// same as `[`allCols`][ColumnsSelectionDsl.allCols]`()` * - * `df.`[select][DataFrame.select]` { "myGroupCol".`[cols][String.cols]`() }` + * `df.`[`select`][DataFrame.select]` { "myGroupCol".`[`cols`][String.cols]`() }` * * * #### Filter vs. Cols: @@ -845,26 +845,26 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol".`[cols][kotlin.String.cols]` { "e" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.name]`() } }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol".`[`cols`][kotlin.String.cols]` { "e" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.name]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol"`[`[`][kotlin.String.cols]`{ it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } }`[`]`][kotlin.String.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol"`[`[`][kotlin.String.cols]`{ it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } }`[`]`][kotlin.String.cols]` }` * - * `// same as `[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()` + * `// same as `[`allCols`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol".`[cols][kotlin.String.cols]`() }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol".`[`cols`][kotlin.String.cols]`() }` * * * #### Filter vs. Cols: @@ -893,26 +893,26 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol".`[cols][kotlin.String.cols]` { "e" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.name]`() } }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol".`[`cols`][kotlin.String.cols]` { "e" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.name]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol"`[`[`][kotlin.String.cols]`{ it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } }`[`]`][kotlin.String.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol"`[`[`][kotlin.String.cols]`{ it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } }`[`]`][kotlin.String.cols]` }` * - * `// same as `[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()` + * `// same as `[`allCols`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol".`[cols][kotlin.String.cols]`() }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol".`[`cols`][kotlin.String.cols]`() }` * * * #### Filter vs. Cols: @@ -942,26 +942,26 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { Type::columnGroup.`[cols][KProperty.cols]` { "e" `[in][String.contains]` it.`[name][ColumnPath.name]`() } }` + * `df.`[`select`][DataFrame.select]` { Type::columnGroup.`[`cols`][KProperty.cols]` { "e" `[`in`][String.contains]` it.`[`name`][ColumnPath.name]`() } }` * - * `df.`[select][DataFrame.select]` { Type::columnGroup`[`[`][SingleColumn.cols]`{ it.`[any][ColumnWithPath.any]` { it == "Alice" } }`[`]`][SingleColumn.cols]` }` + * `df.`[`select`][DataFrame.select]` { Type::columnGroup`[`[`][SingleColumn.cols]`{ it.`[`any`][ColumnWithPath.any]` { it == "Alice" } }`[`]`][SingleColumn.cols]` }` * - * `// same as `[allCols][ColumnsSelectionDsl.allCols]`()` + * `// same as `[`allCols`][ColumnsSelectionDsl.allCols]`()` * - * `df.`[select][DataFrame.select]` { Type::columnGroup.`[cols][SingleColumn.cols]`() }` + * `df.`[`select`][DataFrame.select]` { Type::columnGroup.`[`cols`][SingleColumn.cols]`() }` * * * #### Filter vs. Cols: @@ -989,26 +989,26 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::columnGroup.`[cols][kotlin.reflect.KProperty.cols]` { "e" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.name]`() } }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::columnGroup.`[`cols`][kotlin.reflect.KProperty.cols]` { "e" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.name]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::columnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`{ it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } }`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::columnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`{ it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } }`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` * - * `// same as `[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()` + * `// same as `[`allCols`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::columnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`() }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::columnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`() }` * * * #### Filter vs. Cols: @@ -1037,26 +1037,26 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::columnGroup.`[cols][kotlin.reflect.KProperty.cols]` { "e" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.name]`() } }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::columnGroup.`[`cols`][kotlin.reflect.KProperty.cols]` { "e" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.name]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::columnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`{ it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } }`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::columnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`{ it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } }`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` * - * `// same as `[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()` + * `// same as `[`allCols`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols]`()` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::columnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`() }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::columnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`() }` * * * #### Filter vs. Cols: @@ -1086,24 +1086,24 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { "pathTo"["myGroupCol"].`[cols][ColumnPath.cols]` { "e" `[in][String.contains]` it.`[name][ColumnPath.name]`() } }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["myGroupCol"].`[`cols`][ColumnPath.cols]` { "e" `[`in`][String.contains]` it.`[`name`][ColumnPath.name]`() } }` * - * `df.`[select][DataFrame.select]` { "pathTo"["myGroupCol"]`[`[`][ColumnPath.cols]`{ it.`[any][ColumnWithPath.any]` { it == "Alice" } }`[`]`][ColumnPath.cols]` }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["myGroupCol"]`[`[`][ColumnPath.cols]`{ it.`[`any`][ColumnWithPath.any]` { it == "Alice" } }`[`]`][ColumnPath.cols]` }` * - * `df.`[select][DataFrame.select]` { "pathTo"["myGroupCol"].`[cols][ColumnPath.cols]`() } // identity call, same as `[allCols][ColumnsSelectionDsl.allCols] + * `df.`[`select`][DataFrame.select]` { "pathTo"["myGroupCol"].`[`cols`][ColumnPath.cols]`() } // identity call, same as `[`allCols`][ColumnsSelectionDsl.allCols] * * * #### Filter vs. Cols: @@ -1130,24 +1130,24 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myGroupCol"].`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` { "e" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.name]`() } }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myGroupCol"].`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` { "e" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.name]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myGroupCol"]`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`{ it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } }`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myGroupCol"]`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`{ it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } }`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myGroupCol"].`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`() } // identity call, same as `[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols] + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myGroupCol"].`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`() } // identity call, same as `[`allCols`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols] * * * #### Filter vs. Cols: @@ -1176,24 +1176,24 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myGroupCol"].`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` { "e" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.name]`() } }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myGroupCol"].`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` { "e" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.name]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myGroupCol"]`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`{ it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } }`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myGroupCol"]`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`{ it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } }`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myGroupCol"].`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`() } // identity call, same as `[allCols][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols] + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myGroupCol"].`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`() } // identity call, same as `[`allCols`][org.jetbrains.kotlinx.dataframe.api.AllColumnsSelectionDsl.allCols] * * * #### Filter vs. Cols: @@ -1227,22 +1227,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]`(colGroup.columnA, columnB) }` + * `df.`[`select`][DataFrame.select]` { `[`cols`][ColumnsSelectionDsl.cols]`(colGroup.columnA, columnB) }` * - * `df.`[select][DataFrame.select]` { this`[`[`][ColumnsSelectionDsl.cols]`colGroup.columnA, columnB`[`]`][ColumnsSelectionDsl.cols]` }` + * `df.`[`select`][DataFrame.select]` { this`[`[`][ColumnsSelectionDsl.cols]`colGroup.columnA, columnB`[`]`][ColumnsSelectionDsl.cols]` }` * * * @param [firstCol] A [ColumnReference] that points to a relative column. @@ -1262,22 +1262,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup.columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup.columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { this`[`[`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`colGroup.columnA, columnB`[`]`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { this`[`[`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`colGroup.columnA, columnB`[`]`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` }` * * * @param [firstCol] A [ColumnReference][org.jetbrains.kotlinx.dataframe.columns.ColumnReference] that points to a relative column. @@ -1300,22 +1300,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup.columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(colGroup.columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { this`[`[`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`colGroup.columnA, columnB`[`]`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { this`[`[`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`colGroup.columnA, columnB`[`]`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` }` * * * @param [firstCol] A [ColumnReference][org.jetbrains.kotlinx.dataframe.columns.ColumnReference] that points to a relative column. @@ -1339,22 +1339,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { myColumnGroup.`[cols][SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup.`[`cols`][SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][DataFrame.select]` { myColumnGroup`[`[`][SingleColumn.cols]`columnA, columnB`[`]`][SingleColumn.cols]` }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup`[`[`][SingleColumn.cols]`columnA, columnB`[`]`][SingleColumn.cols]` }` * * * @param [firstCol] A [ColumnReference] that points to a relative column. @@ -1374,22 +1374,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`columnA, columnB`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`columnA, columnB`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` * * * @param [firstCol] A [ColumnReference][org.jetbrains.kotlinx.dataframe.columns.ColumnReference] that points to a relative column. @@ -1413,22 +1413,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`columnA, columnB`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`columnA, columnB`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` * * * @param [firstCol] A [ColumnReference][org.jetbrains.kotlinx.dataframe.columns.ColumnReference] that points to a relative column. @@ -1452,22 +1452,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { "myColumnGroup".`[cols][String.cols]`(columnA, columnB) }` + * `df.`[`select`][DataFrame.select]` { "myColumnGroup".`[`cols`][String.cols]`(columnA, columnB) }` * - * `df.`[select][DataFrame.select]` { "myColumnGroup"`[`[`][String.cols]`columnA, columnB`[`]`][String.cols]` }` + * `df.`[`select`][DataFrame.select]` { "myColumnGroup"`[`[`][String.cols]`columnA, columnB`[`]`][String.cols]` }` * * * @param [firstCol] A [ColumnReference] that points to a relative column. @@ -1487,22 +1487,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[cols][kotlin.String.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`cols`][kotlin.String.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup"`[`[`][kotlin.String.cols]`columnA, columnB`[`]`][kotlin.String.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup"`[`[`][kotlin.String.cols]`columnA, columnB`[`]`][kotlin.String.cols]` }` * * * @param [firstCol] A [ColumnReference][org.jetbrains.kotlinx.dataframe.columns.ColumnReference] that points to a relative column. @@ -1525,22 +1525,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[cols][kotlin.String.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`cols`][kotlin.String.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup"`[`[`][kotlin.String.cols]`columnA, columnB`[`]`][kotlin.String.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup"`[`[`][kotlin.String.cols]`columnA, columnB`[`]`][kotlin.String.cols]` }` * * * @param [firstCol] A [ColumnReference][org.jetbrains.kotlinx.dataframe.columns.ColumnReference] that points to a relative column. @@ -1564,22 +1564,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { Type::myColumnGroup.`[cols][SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][DataFrame.select]` { Type::myColumnGroup.`[`cols`][SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][DataFrame.select]` { DataSchemaType::myColumnGroup`[`[`][KProperty.cols]`"pathTo"["colA"], "pathTo"["colB"]`[`]`][KProperty.cols]` }` + * `df.`[`select`][DataFrame.select]` { DataSchemaType::myColumnGroup`[`[`][KProperty.cols]`"pathTo"["colA"], "pathTo"["colB"]`[`]`][KProperty.cols]` }` * * * @param [firstCol] A [ColumnReference] that points to a relative column. @@ -1599,22 +1599,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::myColumnGroup`[`[`][kotlin.reflect.KProperty.cols]`"pathTo"["colA"], "pathTo"["colB"]`[`]`][kotlin.reflect.KProperty.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::myColumnGroup`[`[`][kotlin.reflect.KProperty.cols]`"pathTo"["colA"], "pathTo"["colB"]`[`]`][kotlin.reflect.KProperty.cols]` }` * * * @param [firstCol] A [ColumnReference][org.jetbrains.kotlinx.dataframe.columns.ColumnReference] that points to a relative column. @@ -1637,22 +1637,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::myColumnGroup`[`[`][kotlin.reflect.KProperty.cols]`"pathTo"["colA"], "pathTo"["colB"]`[`]`][kotlin.reflect.KProperty.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::myColumnGroup`[`[`][kotlin.reflect.KProperty.cols]`"pathTo"["colA"], "pathTo"["colB"]`[`]`][kotlin.reflect.KProperty.cols]` }` * * * @param [firstCol] A [ColumnReference][org.jetbrains.kotlinx.dataframe.columns.ColumnReference] that points to a relative column. @@ -1676,24 +1676,24 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { "pathTo"["columnGroup"].`[cols][ColumnPath.cols]`(columnA, columnB) }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["columnGroup"].`[`cols`][ColumnPath.cols]`(columnA, columnB) }` * - * `df.`[select][DataFrame.select]` { "pathTo"["columnGroup"].`[cols][ColumnPath.cols]`("pathTo"["colA"], "pathTo"["colB"]) }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["columnGroup"].`[`cols`][ColumnPath.cols]`("pathTo"["colA"], "pathTo"["colB"]) }` * - * `df.`[select][DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][ColumnPath.cols]`columnA, columnB`[`]`][ColumnPath.cols]` }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][ColumnPath.cols]`columnA, columnB`[`]`][ColumnPath.cols]` }` * * * @param [firstCol] A [ColumnReference] that points to a relative column. @@ -1713,24 +1713,24 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"].`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"].`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"].`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`("pathTo"["colA"], "pathTo"["colB"]) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"].`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`("pathTo"["colA"], "pathTo"["colB"]) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`columnA, columnB`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`columnA, columnB`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` }` * * * @param [firstCol] A [ColumnReference][org.jetbrains.kotlinx.dataframe.columns.ColumnReference] that points to a relative column. @@ -1753,24 +1753,24 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"].`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"].`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"].`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`("pathTo"["colA"], "pathTo"["colB"]) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"].`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`("pathTo"["colA"], "pathTo"["colB"]) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`columnA, columnB`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`columnA, columnB`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` }` * * * @param [firstCol] A [ColumnReference][org.jetbrains.kotlinx.dataframe.columns.ColumnReference] that points to a relative column. @@ -1798,24 +1798,24 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]`("columnA", "columnB") }` + * `df.`[`select`][DataFrame.select]` { `[`cols`][ColumnsSelectionDsl.cols]`("columnA", "columnB") }` * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]`<`[String][String]`>("columnA", "columnB") }` + * `df.`[`select`][DataFrame.select]` { `[`cols`][ColumnsSelectionDsl.cols]`<`[`String`][String]`>("columnA", "columnB") }` * - * `df.`[select][DataFrame.select]` { this`[`[`][ColumnsSelectionDsl.cols]`"columnA", "columnB"`[`]`][ColumnsSelectionDsl.cols]` }` + * `df.`[`select`][DataFrame.select]` { this`[`[`][ColumnsSelectionDsl.cols]`"columnA", "columnB"`[`]`][ColumnsSelectionDsl.cols]` }` * * * @param [firstCol] A [String] that points to a relative column. @@ -1835,24 +1835,24 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`("columnA", "columnB") }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`("columnA", "columnB") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`<`[String][String]`>("columnA", "columnB") }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`<`[`String`][String]`>("columnA", "columnB") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { this`[`[`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`"columnA", "columnB"`[`]`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { this`[`[`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`"columnA", "columnB"`[`]`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` }` * * * @param [firstCol] A [String] that points to a relative column. @@ -1877,24 +1877,24 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`("columnA", "columnB") }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`("columnA", "columnB") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`<`[String][String]`>("columnA", "columnB") }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`<`[`String`][String]`>("columnA", "columnB") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { this`[`[`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`"columnA", "columnB"`[`]`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { this`[`[`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`"columnA", "columnB"`[`]`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` }` * * * @param [firstCol] A [String] that points to a relative column. @@ -1917,24 +1917,24 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`("columnA", "columnB") }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`("columnA", "columnB") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`<`[String][String]`>("columnA", "columnB") }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`<`[`String`][String]`>("columnA", "columnB") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { this`[`[`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`"columnA", "columnB"`[`]`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { this`[`[`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`"columnA", "columnB"`[`]`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` }` * * * @param [firstCol] A [String] that points to a relative column. @@ -1958,22 +1958,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { myColumnGroup.`[cols][SingleColumn.cols]`("columnA", "columnB") }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup.`[`cols`][SingleColumn.cols]`("columnA", "columnB") }` * - * `df.`[select][DataFrame.select]` { myColumnGroup`[`[`][SingleColumn.cols]`"columnA", "columnB"`[`]`][SingleColumn.cols]` }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup`[`[`][SingleColumn.cols]`"columnA", "columnB"`[`]`][SingleColumn.cols]` }` * * * @param [firstCol] A [String] that points to a relative column. @@ -1993,22 +1993,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`("columnA", "columnB") }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`("columnA", "columnB") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`"columnA", "columnB"`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`"columnA", "columnB"`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` * * * @param [firstCol] A [String] that points to a relative column. @@ -2033,22 +2033,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`("columnA", "columnB") }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`("columnA", "columnB") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`"columnA", "columnB"`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`"columnA", "columnB"`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` * * * @param [firstCol] A [String] that points to a relative column. @@ -2072,22 +2072,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`("columnA", "columnB") }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`("columnA", "columnB") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`"columnA", "columnB"`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`"columnA", "columnB"`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` * * * @param [firstCol] A [String] that points to a relative column. @@ -2111,22 +2111,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { "columnGroup".`[cols][String.cols]`("columnA", "columnB") }` + * `df.`[`select`][DataFrame.select]` { "columnGroup".`[`cols`][String.cols]`("columnA", "columnB") }` * - * `df.`[select][DataFrame.select]` { "columnGroup"`[`[`][String.cols]`"columnA", "columnB"`[`]`][String.cols]` }` + * `df.`[`select`][DataFrame.select]` { "columnGroup"`[`[`][String.cols]`"columnA", "columnB"`[`]`][String.cols]` }` * * * @param [firstCol] A [String] that points to a relative column. @@ -2146,22 +2146,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnGroup".`[cols][kotlin.String.cols]`("columnA", "columnB") }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnGroup".`[`cols`][kotlin.String.cols]`("columnA", "columnB") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnGroup"`[`[`][kotlin.String.cols]`"columnA", "columnB"`[`]`][kotlin.String.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnGroup"`[`[`][kotlin.String.cols]`"columnA", "columnB"`[`]`][kotlin.String.cols]` }` * * * @param [firstCol] A [String] that points to a relative column. @@ -2186,22 +2186,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnGroup".`[cols][kotlin.String.cols]`("columnA", "columnB") }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnGroup".`[`cols`][kotlin.String.cols]`("columnA", "columnB") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnGroup"`[`[`][kotlin.String.cols]`"columnA", "columnB"`[`]`][kotlin.String.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnGroup"`[`[`][kotlin.String.cols]`"columnA", "columnB"`[`]`][kotlin.String.cols]` }` * * * @param [firstCol] A [String] that points to a relative column. @@ -2224,22 +2224,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnGroup".`[cols][kotlin.String.cols]`("columnA", "columnB") }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnGroup".`[`cols`][kotlin.String.cols]`("columnA", "columnB") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnGroup"`[`[`][kotlin.String.cols]`"columnA", "columnB"`[`]`][kotlin.String.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnGroup"`[`[`][kotlin.String.cols]`"columnA", "columnB"`[`]`][kotlin.String.cols]` }` * * * @param [firstCol] A [String] that points to a relative column. @@ -2263,22 +2263,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { Type::myColumnGroup.`[cols][KProperty.cols]`("columnA", "columnB") }` + * `df.`[`select`][DataFrame.select]` { Type::myColumnGroup.`[`cols`][KProperty.cols]`("columnA", "columnB") }` * - * `df.`[select][DataFrame.select]` { DataSchemaType::myColumnGroup`[`[`][KProperty.cols]`"columnA", "columnB"`[`]`][KProperty.cols]` }` + * `df.`[`select`][DataFrame.select]` { DataSchemaType::myColumnGroup`[`[`][KProperty.cols]`"columnA", "columnB"`[`]`][KProperty.cols]` }` * * * @param [firstCol] A [String] that points to a relative column. @@ -2298,22 +2298,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[cols][kotlin.reflect.KProperty.cols]`("columnA", "columnB") }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[`cols`][kotlin.reflect.KProperty.cols]`("columnA", "columnB") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::myColumnGroup`[`[`][kotlin.reflect.KProperty.cols]`"columnA", "columnB"`[`]`][kotlin.reflect.KProperty.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::myColumnGroup`[`[`][kotlin.reflect.KProperty.cols]`"columnA", "columnB"`[`]`][kotlin.reflect.KProperty.cols]` }` * * * @param [firstCol] A [String] that points to a relative column. @@ -2338,22 +2338,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[cols][kotlin.reflect.KProperty.cols]`("columnA", "columnB") }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[`cols`][kotlin.reflect.KProperty.cols]`("columnA", "columnB") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::myColumnGroup`[`[`][kotlin.reflect.KProperty.cols]`"columnA", "columnB"`[`]`][kotlin.reflect.KProperty.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::myColumnGroup`[`[`][kotlin.reflect.KProperty.cols]`"columnA", "columnB"`[`]`][kotlin.reflect.KProperty.cols]` }` * * * @param [firstCol] A [String] that points to a relative column. @@ -2376,22 +2376,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[cols][kotlin.reflect.KProperty.cols]`("columnA", "columnB") }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[`cols`][kotlin.reflect.KProperty.cols]`("columnA", "columnB") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::myColumnGroup`[`[`][kotlin.reflect.KProperty.cols]`"columnA", "columnB"`[`]`][kotlin.reflect.KProperty.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::myColumnGroup`[`[`][kotlin.reflect.KProperty.cols]`"columnA", "columnB"`[`]`][kotlin.reflect.KProperty.cols]` }` * * * @param [firstCol] A [String] that points to a relative column. @@ -2415,22 +2415,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { "pathTo"["columnGroup"].`[cols][ColumnPath.cols]`("columnA", "columnB") }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["columnGroup"].`[`cols`][ColumnPath.cols]`("columnA", "columnB") }` * - * `df.`[select][DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][ColumnPath.cols]`"columnA", "columnB"`[`]`][ColumnPath.cols]` }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][ColumnPath.cols]`"columnA", "columnB"`[`]`][ColumnPath.cols]` }` * * * @param [firstCol] A [String] that points to a relative column. @@ -2450,22 +2450,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"].`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`("columnA", "columnB") }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"].`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`("columnA", "columnB") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`"columnA", "columnB"`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`"columnA", "columnB"`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` }` * * * @param [firstCol] A [String] that points to a relative column. @@ -2490,22 +2490,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"].`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`("columnA", "columnB") }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"].`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`("columnA", "columnB") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`"columnA", "columnB"`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`"columnA", "columnB"`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` }` * * * @param [firstCol] A [String] that points to a relative column. @@ -2528,22 +2528,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"].`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`("columnA", "columnB") }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"].`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`("columnA", "columnB") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`"columnA", "columnB"`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`"columnA", "columnB"`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` }` * * * @param [firstCol] A [String] that points to a relative column. @@ -2571,24 +2571,24 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][DataFrame.select]` { `[`cols`][ColumnsSelectionDsl.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]`<`[String][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][DataFrame.select]` { `[`cols`][ColumnsSelectionDsl.cols]`<`[`String`][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][DataFrame.select]` { this`[`[`][ColumnsSelectionDsl.cols]`"pathTo"["colA"], "pathTo"["colB"])`[`]`][ColumnsSelectionDsl.cols]` }` + * `df.`[`select`][DataFrame.select]` { this`[`[`][ColumnsSelectionDsl.cols]`"pathTo"["colA"], "pathTo"["colB"])`[`]`][ColumnsSelectionDsl.cols]` }` * * * @param [firstCol] A [String] that points to a relative column. @@ -2608,24 +2608,24 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`<`[String][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`<`[`String`][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { this`[`[`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`"pathTo"["colA"], "pathTo"["colB"])`[`]`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { this`[`[`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`"pathTo"["colA"], "pathTo"["colB"])`[`]`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` }` * * * @param [firstCol] A [String] that points to a relative column. @@ -2650,24 +2650,24 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`<`[String][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`<`[`String`][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { this`[`[`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`"pathTo"["colA"], "pathTo"["colB"])`[`]`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { this`[`[`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`"pathTo"["colA"], "pathTo"["colB"])`[`]`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` }` * * * @param [firstCol] A [String] that points to a relative column. @@ -2690,24 +2690,24 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`<`[String][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`<`[`String`][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { this`[`[`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`"pathTo"["colA"], "pathTo"["colB"])`[`]`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { this`[`[`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`"pathTo"["colA"], "pathTo"["colB"])`[`]`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` }` * * * @param [firstCol] A [String] that points to a relative column. @@ -2731,24 +2731,24 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { myColumnGroup.`[cols][SingleColumn.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup.`[`cols`][SingleColumn.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][DataFrame.select]` { myColumnGroup.`[cols][SingleColumn.cols]`<`[String][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup.`[`cols`][SingleColumn.cols]`<`[`String`][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][DataFrame.select]` { myColumnGroup`[`[`][SingleColumn.cols]`"pathTo"["colA"], "pathTo"["colB"])`[`]`][SingleColumn.cols]` }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup`[`[`][SingleColumn.cols]`"pathTo"["colA"], "pathTo"["colB"])`[`]`][SingleColumn.cols]` }` * * * @param [firstCol] A [ColumnPath] that points to a relative column. @@ -2768,24 +2768,24 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`<`[String][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`<`[`String`][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`"pathTo"["colA"], "pathTo"["colB"])`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`"pathTo"["colA"], "pathTo"["colB"])`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` * * * @param [firstCol] A [ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] that points to a relative column. @@ -2810,24 +2810,24 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`<`[String][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`<`[`String`][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`"pathTo"["colA"], "pathTo"["colB"])`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`"pathTo"["colA"], "pathTo"["colB"])`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` * * * @param [firstCol] A [ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] that points to a relative column. @@ -2851,24 +2851,24 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`<`[String][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`<`[`String`][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`"pathTo"["colA"], "pathTo"["colB"])`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`"pathTo"["colA"], "pathTo"["colB"])`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` * * * @param [firstCol] A [ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] that points to a relative column. @@ -2892,24 +2892,24 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { "columnGroup".`[cols][String.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][DataFrame.select]` { "columnGroup".`[`cols`][String.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][DataFrame.select]` { "columnGroup".`[cols][String.cols]`<`[String][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][DataFrame.select]` { "columnGroup".`[`cols`][String.cols]`<`[`String`][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][DataFrame.select]` { "columnGroup"`[`[`][String.cols]`""pathTo"["colA"], "pathTo"["colB"])`[`]`][ColumnPath.cols]` }` + * `df.`[`select`][DataFrame.select]` { "columnGroup"`[`[`][String.cols]`""pathTo"["colA"], "pathTo"["colB"])`[`]`][ColumnPath.cols]` }` * * * @param [firstCol] A [ColumnPath] that points to a relative column. @@ -2929,24 +2929,24 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnGroup".`[cols][kotlin.String.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnGroup".`[`cols`][kotlin.String.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnGroup".`[cols][kotlin.String.cols]`<`[String][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnGroup".`[`cols`][kotlin.String.cols]`<`[`String`][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnGroup"`[`[`][kotlin.String.cols]`""pathTo"["colA"], "pathTo"["colB"])`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnGroup"`[`[`][kotlin.String.cols]`""pathTo"["colA"], "pathTo"["colB"])`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` }` * * * @param [firstCol] A [ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] that points to a relative column. @@ -2971,24 +2971,24 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnGroup".`[cols][kotlin.String.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnGroup".`[`cols`][kotlin.String.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnGroup".`[cols][kotlin.String.cols]`<`[String][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnGroup".`[`cols`][kotlin.String.cols]`<`[`String`][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnGroup"`[`[`][kotlin.String.cols]`""pathTo"["colA"], "pathTo"["colB"])`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnGroup"`[`[`][kotlin.String.cols]`""pathTo"["colA"], "pathTo"["colB"])`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` }` * * * @param [firstCol] A [ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] that points to a relative column. @@ -3011,24 +3011,24 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnGroup".`[cols][kotlin.String.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnGroup".`[`cols`][kotlin.String.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnGroup".`[cols][kotlin.String.cols]`<`[String][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnGroup".`[`cols`][kotlin.String.cols]`<`[`String`][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnGroup"`[`[`][kotlin.String.cols]`""pathTo"["colA"], "pathTo"["colB"])`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnGroup"`[`[`][kotlin.String.cols]`""pathTo"["colA"], "pathTo"["colB"])`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` }` * * * @param [firstCol] A [ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] that points to a relative column. @@ -3052,24 +3052,24 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { Type::myColumnGroup.`[cols][KProperty.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][DataFrame.select]` { Type::myColumnGroup.`[`cols`][KProperty.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][DataFrame.select]` { Type::myColumnGroup.`[cols][KProperty.cols]`<`[String][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][DataFrame.select]` { Type::myColumnGroup.`[`cols`][KProperty.cols]`<`[`String`][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][DataFrame.select]` { DataSchemaType::myColumnGroup`[`[`][KProperty.cols]`"columnA", "columnB"`[`]`][KProperty.cols]` }` + * `df.`[`select`][DataFrame.select]` { DataSchemaType::myColumnGroup`[`[`][KProperty.cols]`"columnA", "columnB"`[`]`][KProperty.cols]` }` * * * @param [firstCol] A [ColumnPath] that points to a relative column. @@ -3089,24 +3089,24 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[cols][kotlin.reflect.KProperty.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[`cols`][kotlin.reflect.KProperty.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[cols][kotlin.reflect.KProperty.cols]`<`[String][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[`cols`][kotlin.reflect.KProperty.cols]`<`[`String`][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::myColumnGroup`[`[`][kotlin.reflect.KProperty.cols]`"columnA", "columnB"`[`]`][kotlin.reflect.KProperty.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::myColumnGroup`[`[`][kotlin.reflect.KProperty.cols]`"columnA", "columnB"`[`]`][kotlin.reflect.KProperty.cols]` }` * * * @param [firstCol] A [ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] that points to a relative column. @@ -3131,24 +3131,24 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[cols][kotlin.reflect.KProperty.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[`cols`][kotlin.reflect.KProperty.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[cols][kotlin.reflect.KProperty.cols]`<`[String][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[`cols`][kotlin.reflect.KProperty.cols]`<`[`String`][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::myColumnGroup`[`[`][kotlin.reflect.KProperty.cols]`"columnA", "columnB"`[`]`][kotlin.reflect.KProperty.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::myColumnGroup`[`[`][kotlin.reflect.KProperty.cols]`"columnA", "columnB"`[`]`][kotlin.reflect.KProperty.cols]` }` * * * @param [firstCol] A [ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] that points to a relative column. @@ -3171,24 +3171,24 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[cols][kotlin.reflect.KProperty.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[`cols`][kotlin.reflect.KProperty.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[cols][kotlin.reflect.KProperty.cols]`<`[String][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[`cols`][kotlin.reflect.KProperty.cols]`<`[`String`][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::myColumnGroup`[`[`][kotlin.reflect.KProperty.cols]`"columnA", "columnB"`[`]`][kotlin.reflect.KProperty.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { DataSchemaType::myColumnGroup`[`[`][kotlin.reflect.KProperty.cols]`"columnA", "columnB"`[`]`][kotlin.reflect.KProperty.cols]` }` * * * @param [firstCol] A [ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] that points to a relative column. @@ -3212,24 +3212,24 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { "pathTo"["columnGroup"].`[cols][ColumnPath.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["columnGroup"].`[`cols`][ColumnPath.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][DataFrame.select]` { "pathTo"["columnGroup"].`[cols][ColumnPath.cols]`<`[String][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["columnGroup"].`[`cols`][ColumnPath.cols]`<`[`String`][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][ColumnPath.cols]`"pathTo"["colA"], "pathTo"["colB"])`[`]`][ColumnPath.cols]` }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][ColumnPath.cols]`"pathTo"["colA"], "pathTo"["colB"])`[`]`][ColumnPath.cols]` }` * * * @param [firstCol] A [ColumnPath] that points to a relative column. @@ -3249,24 +3249,24 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"].`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"].`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"].`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`<`[String][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"].`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`<`[`String`][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`"pathTo"["colA"], "pathTo"["colB"])`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`"pathTo"["colA"], "pathTo"["colB"])`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` }` * * * @param [firstCol] A [ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] that points to a relative column. @@ -3291,24 +3291,24 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"].`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"].`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"].`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`<`[String][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"].`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`<`[`String`][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`"pathTo"["colA"], "pathTo"["colB"])`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`"pathTo"["colA"], "pathTo"["colB"])`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` }` * * * @param [firstCol] A [ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] that points to a relative column. @@ -3331,24 +3331,24 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"].`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"].`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"].`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`<`[String][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"].`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`<`[`String`][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`"pathTo"["colA"], "pathTo"["colB"])`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`"pathTo"["colA"], "pathTo"["colB"])`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` }` * * * @param [firstCol] A [ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] that points to a relative column. @@ -3376,22 +3376,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]`(Type::colA, Type::colB) }` + * `df.`[`select`][DataFrame.select]` { `[`cols`][ColumnsSelectionDsl.cols]`(Type::colA, Type::colB) }` * - * `df.`[select][DataFrame.select]` { this`[`[`][ColumnsSelectionDsl.cols]`Type::colA, Type::colB`[`]`][ColumnsSelectionDsl.cols]` }` + * `df.`[`select`][DataFrame.select]` { this`[`[`][ColumnsSelectionDsl.cols]`Type::colA, Type::colB`[`]`][ColumnsSelectionDsl.cols]` }` * * * @param [firstCol] A [KProperty] that points to a relative column. @@ -3411,22 +3411,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(Type::colA, Type::colB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(Type::colA, Type::colB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { this`[`[`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`Type::colA, Type::colB`[`]`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { this`[`[`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`Type::colA, Type::colB`[`]`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` }` * * * @param [firstCol] A [KProperty] that points to a relative column. @@ -3449,22 +3449,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(Type::colA, Type::colB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(Type::colA, Type::colB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { this`[`[`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`Type::colA, Type::colB`[`]`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { this`[`[`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`Type::colA, Type::colB`[`]`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` }` * * * @param [firstCol] A [KProperty] that points to a relative column. @@ -3488,22 +3488,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { myColumnGroup.`[cols][SingleColumn.cols]`(Type::colA, Type::colB) }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup.`[`cols`][SingleColumn.cols]`(Type::colA, Type::colB) }` * - * `df.`[select][DataFrame.select]` { myColumnGroup`[`[`][SingleColumn.cols]`Type::colA, Type::colB`[`]`][SingleColumn.cols]` }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup`[`[`][SingleColumn.cols]`Type::colA, Type::colB`[`]`][SingleColumn.cols]` }` * * * @param [firstCol] A [KProperty] that points to a relative column. @@ -3523,22 +3523,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(Type::colA, Type::colB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(Type::colA, Type::colB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`Type::colA, Type::colB`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`Type::colA, Type::colB`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` * * * @param [firstCol] A [KProperty] that points to a relative column. @@ -3561,22 +3561,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(Type::colA, Type::colB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(Type::colA, Type::colB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`Type::colA, Type::colB`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`Type::colA, Type::colB`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` * * * @param [firstCol] A [KProperty] that points to a relative column. @@ -3600,22 +3600,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { "myColumnGroup".`[cols][String.cols]`(Type::colA, Type::colB) }` + * `df.`[`select`][DataFrame.select]` { "myColumnGroup".`[`cols`][String.cols]`(Type::colA, Type::colB) }` * - * `df.`[select][DataFrame.select]` { "myColumnGroup"`[`[`][String.cols]`Type::colA, Type::colB`[`]`][String.cols]` }` + * `df.`[`select`][DataFrame.select]` { "myColumnGroup"`[`[`][String.cols]`Type::colA, Type::colB`[`]`][String.cols]` }` * * * @param [firstCol] A [KProperty] that points to a relative column. @@ -3635,22 +3635,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[cols][kotlin.String.cols]`(Type::colA, Type::colB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`cols`][kotlin.String.cols]`(Type::colA, Type::colB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup"`[`[`][kotlin.String.cols]`Type::colA, Type::colB`[`]`][kotlin.String.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup"`[`[`][kotlin.String.cols]`Type::colA, Type::colB`[`]`][kotlin.String.cols]` }` * * * @param [firstCol] A [KProperty] that points to a relative column. @@ -3673,22 +3673,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[cols][kotlin.String.cols]`(Type::colA, Type::colB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`cols`][kotlin.String.cols]`(Type::colA, Type::colB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup"`[`[`][kotlin.String.cols]`Type::colA, Type::colB`[`]`][kotlin.String.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup"`[`[`][kotlin.String.cols]`Type::colA, Type::colB`[`]`][kotlin.String.cols]` }` * * * @param [firstCol] A [KProperty] that points to a relative column. @@ -3712,22 +3712,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { Type::myColumnGroup.`[cols][SingleColumn.cols]`(Type::colA, Type::colB) }` + * `df.`[`select`][DataFrame.select]` { Type::myColumnGroup.`[`cols`][SingleColumn.cols]`(Type::colA, Type::colB) }` * - * `df.`[select][DataFrame.select]` { Type::myColumnGroup`[`[`][SingleColumn.cols]`Type::colA, Type::colB`[`]`][SingleColumn.cols]` }` + * `df.`[`select`][DataFrame.select]` { Type::myColumnGroup`[`[`][SingleColumn.cols]`Type::colA, Type::colB`[`]`][SingleColumn.cols]` }` * * * @param [firstCol] A [KProperty] that points to a relative column. @@ -3747,22 +3747,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(Type::colA, Type::colB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(Type::colA, Type::colB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`Type::colA, Type::colB`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`Type::colA, Type::colB`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` * * * @param [firstCol] A [KProperty] that points to a relative column. @@ -3785,22 +3785,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(Type::colA, Type::colB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(Type::colA, Type::colB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`Type::colA, Type::colB`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`Type::colA, Type::colB`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]` }` * * * @param [firstCol] A [KProperty] that points to a relative column. @@ -3824,22 +3824,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { "pathTo"["columnGroup"].`[cols][ColumnPath.cols]`(Type::colA, Type::colB) }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["columnGroup"].`[`cols`][ColumnPath.cols]`(Type::colA, Type::colB) }` * - * `df.`[select][DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][ColumnPath.cols]`Type::colA, Type::colB`[`]`][ColumnPath.cols]` }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][ColumnPath.cols]`Type::colA, Type::colB`[`]`][ColumnPath.cols]` }` * * * @param [firstCol] A [KProperty] that points to a relative column. @@ -3859,22 +3859,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"].`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`(Type::colA, Type::colB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"].`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`(Type::colA, Type::colB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`Type::colA, Type::colB`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`Type::colA, Type::colB`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` }` * * * @param [firstCol] A [KProperty] that points to a relative column. @@ -3897,22 +3897,22 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [get][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. + * Aside from calling [cols][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.cols] directly, you can also use the [`get`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.get] operator in most cases. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColsColumnsSelectionDsl.Grammar] * * #### For example: - * `df.`[remove][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[hasNulls][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` + * `df.`[`remove`][org.jetbrains.kotlinx.dataframe.DataFrame.remove]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][org.jetbrains.kotlinx.dataframe.DataColumn.hasNulls]`() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myGroupCol.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1, 3, 5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"].`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`(Type::colA, Type::colB) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"].`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`(Type::colA, Type::colB) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`Type::colA, Type::colB`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`Type::colA, Type::colB`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]` }` * * * @param [firstCol] A [KProperty] that points to a relative column. @@ -3940,17 +3940,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[cols][kotlin.String.cols]`(0, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`cols`][kotlin.String.cols]`(0, 2) }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[cols][ColumnSet.cols]`(1, 3) }` + * `df.`[`select`][DataFrame.select]` { `[`colsOf`][SingleColumn.colsOf]`<`[`Int`][Int]`>().`[`cols`][ColumnSet.cols]`(1, 3) }` * - * `df.`[select][DataFrame.select]` { `[all][ColumnsSelectionDsl.all]`()`[`[`][ColumnSet.cols]`5, 1`[`]`][ColumnSet.cols]` }` + * `df.`[`select`][DataFrame.select]` { `[`all`][ColumnsSelectionDsl.all]`()`[`[`][ColumnSet.cols]`5, 1`[`]`][ColumnSet.cols]` }` * * @throws [IndexOutOfBoundsException] If any index is out of bounds. * @param [firstIndex] The index of the first column to retrieve. @@ -3968,17 +3968,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[cols][kotlin.String.cols]`(0, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`cols`][kotlin.String.cols]`(0, 2) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[Int][Int]`>().`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`(1, 3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[`Int`][Int]`>().`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`(1, 3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`5, 1`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`all`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`5, 1`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * @throws [IndexOutOfBoundsException] If any index is out of bounds. * @param [firstIndex] The index of the first column to retrieve. @@ -4000,17 +4000,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[cols][kotlin.String.cols]`(0, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`cols`][kotlin.String.cols]`(0, 2) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[Int][Int]`>().`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`(1, 3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[`Int`][Int]`>().`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`(1, 3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`5, 1`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`all`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`5, 1`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * @throws [IndexOutOfBoundsException] If any index is out of bounds. * @param [firstIndex] The index of the first column to retrieve. @@ -4032,17 +4032,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[cols][kotlin.String.cols]`(0, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`cols`][kotlin.String.cols]`(0, 2) }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]`(1, 3) }` + * `df.`[`select`][DataFrame.select]` { `[`cols`][ColumnsSelectionDsl.cols]`(1, 3) }` * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]`<`[String][String]`>(1, 3) }` + * `df.`[`select`][DataFrame.select]` { `[`cols`][ColumnsSelectionDsl.cols]`<`[`String`][String]`>(1, 3) }` * * @throws [IndexOutOfBoundsException] If any index is out of bounds. * @param [firstIndex] The index of the first column to retrieve. @@ -4060,17 +4060,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[cols][kotlin.String.cols]`(0, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`cols`][kotlin.String.cols]`(0, 2) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1, 3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1, 3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`<`[String][String]`>(1, 3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`<`[`String`][String]`>(1, 3) }` * * @throws [IndexOutOfBoundsException] If any index is out of bounds. * @param [firstIndex] The index of the first column to retrieve. @@ -4093,17 +4093,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[cols][kotlin.String.cols]`(0, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`cols`][kotlin.String.cols]`(0, 2) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1, 3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1, 3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`<`[String][String]`>(1, 3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`<`[`String`][String]`>(1, 3) }` * * @throws [IndexOutOfBoundsException] If any index is out of bounds. * @param [firstIndex] The index of the first column to retrieve. @@ -4125,17 +4125,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[cols][kotlin.String.cols]`(0, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`cols`][kotlin.String.cols]`(0, 2) }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { myColumnGroup.`[cols][SingleColumn.cols]`(1, 3) }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup.`[`cols`][SingleColumn.cols]`(1, 3) }` * - * `df.`[select][DataFrame.select]` { myColumnGroup.`[cols][SingleColumn.cols]`<`[String][String]`>(3, 4) }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup.`[`cols`][SingleColumn.cols]`<`[`String`][String]`>(3, 4) }` * * @throws [IndexOutOfBoundsException] If any index is out of bounds. * @param [firstIndex] The index of the first column to retrieve. @@ -4153,17 +4153,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[cols][kotlin.String.cols]`(0, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`cols`][kotlin.String.cols]`(0, 2) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`<`[String][String]`>(3, 4) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`<`[`String`][String]`>(3, 4) }` * * @throws [IndexOutOfBoundsException] If any index is out of bounds. * @param [firstIndex] The index of the first column to retrieve. @@ -4186,17 +4186,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[cols][kotlin.String.cols]`(0, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`cols`][kotlin.String.cols]`(0, 2) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`<`[String][String]`>(3, 4) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`<`[`String`][String]`>(3, 4) }` * * @throws [IndexOutOfBoundsException] If any index is out of bounds. * @param [firstIndex] The index of the first column to retrieve. @@ -4218,17 +4218,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[cols][kotlin.String.cols]`(0, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`cols`][kotlin.String.cols]`(0, 2) }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { "myColumnGroup".`[cols][String.cols]`(5, 3, 1) }` + * `df.`[`select`][DataFrame.select]` { "myColumnGroup".`[`cols`][String.cols]`(5, 3, 1) }` * - * `df.`[select][DataFrame.select]` { "myColumnGroup".`[cols][String.cols]`<`[String][String]`>(5, 3, 1) }` + * `df.`[`select`][DataFrame.select]` { "myColumnGroup".`[`cols`][String.cols]`<`[`String`][String]`>(5, 3, 1) }` * * @throws [IndexOutOfBoundsException] If any index is out of bounds. * @param [firstIndex] The index of the first column to retrieve. @@ -4246,17 +4246,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[cols][kotlin.String.cols]`(0, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`cols`][kotlin.String.cols]`(0, 2) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[cols][kotlin.String.cols]`(5, 3, 1) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`cols`][kotlin.String.cols]`(5, 3, 1) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[cols][kotlin.String.cols]`<`[String][String]`>(5, 3, 1) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`cols`][kotlin.String.cols]`<`[`String`][String]`>(5, 3, 1) }` * * @throws [IndexOutOfBoundsException] If any index is out of bounds. * @param [firstIndex] The index of the first column to retrieve. @@ -4279,17 +4279,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[cols][kotlin.String.cols]`(0, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`cols`][kotlin.String.cols]`(0, 2) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[cols][kotlin.String.cols]`(5, 3, 1) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`cols`][kotlin.String.cols]`(5, 3, 1) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[cols][kotlin.String.cols]`<`[String][String]`>(5, 3, 1) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`cols`][kotlin.String.cols]`<`[`String`][String]`>(5, 3, 1) }` * * @throws [IndexOutOfBoundsException] If any index is out of bounds. * @param [firstIndex] The index of the first column to retrieve. @@ -4311,17 +4311,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[cols][kotlin.String.cols]`(0, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`cols`][kotlin.String.cols]`(0, 2) }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { Type::myColumnGroup.`[cols][SingleColumn.cols]`(5, 4) }` + * `df.`[`select`][DataFrame.select]` { Type::myColumnGroup.`[`cols`][SingleColumn.cols]`(5, 4) }` * - * `df.`[select][DataFrame.select]` { Type::myColumnGroup.`[cols][SingleColumn.cols]`<`[String][String]`>(5, 4) }` + * `df.`[`select`][DataFrame.select]` { Type::myColumnGroup.`[`cols`][SingleColumn.cols]`<`[`String`][String]`>(5, 4) }` * * @throws [IndexOutOfBoundsException] If any index is out of bounds. * @param [firstIndex] The index of the first column to retrieve. @@ -4339,17 +4339,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[cols][kotlin.String.cols]`(0, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`cols`][kotlin.String.cols]`(0, 2) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(5, 4) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(5, 4) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`<`[String][String]`>(5, 4) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`<`[`String`][String]`>(5, 4) }` * * @throws [IndexOutOfBoundsException] If any index is out of bounds. * @param [firstIndex] The index of the first column to retrieve. @@ -4372,17 +4372,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[cols][kotlin.String.cols]`(0, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`cols`][kotlin.String.cols]`(0, 2) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(5, 4) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(5, 4) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`<`[String][String]`>(5, 4) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`<`[`String`][String]`>(5, 4) }` * * @throws [IndexOutOfBoundsException] If any index is out of bounds. * @param [firstIndex] The index of the first column to retrieve. @@ -4404,17 +4404,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[cols][kotlin.String.cols]`(0, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`cols`][kotlin.String.cols]`(0, 2) }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { "pathTo"["myColGroup"].`[cols][ColumnPath.cols]`(0, 1) }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["myColGroup"].`[`cols`][ColumnPath.cols]`(0, 1) }` * - * `df.`[select][DataFrame.select]` { "pathTo"["myColGroup"].`[cols][ColumnPath.cols]`<`[String][String]`>(0, 1) }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["myColGroup"].`[`cols`][ColumnPath.cols]`<`[`String`][String]`>(0, 1) }` * * @throws [IndexOutOfBoundsException] If any index is out of bounds. * @param [firstIndex] The index of the first column to retrieve. @@ -4432,17 +4432,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[cols][kotlin.String.cols]`(0, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`cols`][kotlin.String.cols]`(0, 2) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myColGroup"].`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`(0, 1) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myColGroup"].`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`(0, 1) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myColGroup"].`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`<`[String][String]`>(0, 1) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myColGroup"].`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`<`[`String`][String]`>(0, 1) }` * * @throws [IndexOutOfBoundsException] If any index is out of bounds. * @param [firstIndex] The index of the first column to retrieve. @@ -4465,17 +4465,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1, 3, 2) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]`5, 1, 2`[`]`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.get]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[cols][kotlin.String.cols]`(0, 2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`cols`][kotlin.String.cols]`(0, 2) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myColGroup"].`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`(0, 1) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myColGroup"].`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`(0, 1) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myColGroup"].`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`<`[String][String]`>(0, 1) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myColGroup"].`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`<`[`String`][String]`>(0, 1) }` * * @throws [IndexOutOfBoundsException] If any index is out of bounds. * @param [firstIndex] The index of the first column to retrieve. @@ -4501,17 +4501,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[cols][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[`cols`][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[cols][ColumnSet.cols]`(1`[..][Int.rangeTo]`3) }` + * `df.`[`select`][DataFrame.select]` { `[`colsOf`][SingleColumn.colsOf]`<`[`Int`][Int]`>().`[`cols`][ColumnSet.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][DataFrame.select]` { `[all][all]`()`[`[`][ColumnSet.cols]`1`[..][Int.rangeTo]`5`[`]`][ColumnSet.cols]` }` + * `df.`[`select`][DataFrame.select]` { `[`all`][all]`()`[`[`][ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][ColumnSet.cols]` }` * * @throws [IndexOutOfBoundsException] if any of the indices in the [range] are out of bounds. * @throws [IllegalArgumentException] if the [range] is empty. @@ -4529,17 +4529,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[cols][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[`cols`][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[Int][Int]`>().`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`(1`[..][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[`Int`][Int]`>().`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.all]`()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[..][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`all`][org.jetbrains.kotlinx.dataframe.api.all]`()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * @throws [IndexOutOfBoundsException] if any of the indices in the [range] are out of bounds. * @throws [IllegalArgumentException] if the [range] is empty. @@ -4558,17 +4558,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[cols][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[`cols`][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[Int][Int]`>().`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`(1`[..][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[`Int`][Int]`>().`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.all]`()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[..][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`all`][org.jetbrains.kotlinx.dataframe.api.all]`()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * * @throws [IndexOutOfBoundsException] if any of the indices in the [range] are out of bounds. * @throws [IllegalArgumentException] if the [range] is empty. @@ -4587,17 +4587,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[cols][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[`cols`][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][DataFrame.select]` { `[`cols`][ColumnsSelectionDsl.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]`<`[String][String]`>(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][DataFrame.select]` { `[`cols`][ColumnsSelectionDsl.cols]`<`[`String`][String]`>(1`[`..`][Int.rangeTo]`3) }` * * @throws [IndexOutOfBoundsException] if any of the indices in the [range] are out of bounds. * @throws [IllegalArgumentException] if the [range] is empty. @@ -4615,17 +4615,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[cols][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[`cols`][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`<`[String][String]`>(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`<`[`String`][String]`>(1`[`..`][Int.rangeTo]`3) }` * * @throws [IndexOutOfBoundsException] if any of the indices in the [range] are out of bounds. * @throws [IllegalArgumentException] if the [range] is empty. @@ -4646,17 +4646,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[cols][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[`cols`][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`<`[String][String]`>(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]`<`[`String`][String]`>(1`[`..`][Int.rangeTo]`3) }` * * @throws [IndexOutOfBoundsException] if any of the indices in the [range] are out of bounds. * @throws [IllegalArgumentException] if the [range] is empty. @@ -4676,17 +4676,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[cols][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[`cols`][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { myColumnGroup.`[cols][SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup.`[`cols`][SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][DataFrame.select]` { myColumnGroup.`[cols][SingleColumn.cols]`<`[String][String]`>(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup.`[`cols`][SingleColumn.cols]`<`[`String`][String]`>(1`[`..`][Int.rangeTo]`3) }` * * @throws [IndexOutOfBoundsException] if any of the indices in the [range] are out of bounds. * @throws [IllegalArgumentException] if the [range] is empty. @@ -4704,17 +4704,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[cols][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[`cols`][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`<`[String][String]`>(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`<`[`String`][String]`>(1`[`..`][Int.rangeTo]`3) }` * * @throws [IndexOutOfBoundsException] if any of the indices in the [range] are out of bounds. * @throws [IllegalArgumentException] if the [range] is empty. @@ -4735,17 +4735,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[cols][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[`cols`][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`<`[String][String]`>(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`<`[`String`][String]`>(1`[`..`][Int.rangeTo]`3) }` * * @throws [IndexOutOfBoundsException] if any of the indices in the [range] are out of bounds. * @throws [IllegalArgumentException] if the [range] is empty. @@ -4765,17 +4765,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[cols][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[`cols`][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { "myColGroup".`[cols][String.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][DataFrame.select]` { "myColGroup".`[`cols`][String.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][DataFrame.select]` { "myColGroup".`[cols][String.cols]`<`[String][String]`>(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][DataFrame.select]` { "myColGroup".`[`cols`][String.cols]`<`[`String`][String]`>(1`[`..`][Int.rangeTo]`3) }` * * @throws [IndexOutOfBoundsException] if any of the indices in the [range] are out of bounds. * @throws [IllegalArgumentException] if the [range] is empty. @@ -4793,17 +4793,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[cols][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[`cols`][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[cols][kotlin.String.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[`cols`][kotlin.String.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[cols][kotlin.String.cols]`<`[String][String]`>(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[`cols`][kotlin.String.cols]`<`[`String`][String]`>(1`[`..`][Int.rangeTo]`3) }` * * @throws [IndexOutOfBoundsException] if any of the indices in the [range] are out of bounds. * @throws [IllegalArgumentException] if the [range] is empty. @@ -4823,17 +4823,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[cols][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[`cols`][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[cols][kotlin.String.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[`cols`][kotlin.String.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[cols][kotlin.String.cols]`<`[String][String]`>(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[`cols`][kotlin.String.cols]`<`[`String`][String]`>(1`[`..`][Int.rangeTo]`3) }` * * @throws [IndexOutOfBoundsException] if any of the indices in the [range] are out of bounds. * @throws [IllegalArgumentException] if the [range] is empty. @@ -4852,17 +4852,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[cols][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[`cols`][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { Type::myColumnGroup.`[cols][SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][DataFrame.select]` { Type::myColumnGroup.`[`cols`][SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][DataFrame.select]` { Type::myColumnGroup.`[cols][SingleColumn.cols]`<`[String][String]`>(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][DataFrame.select]` { Type::myColumnGroup.`[`cols`][SingleColumn.cols]`<`[`String`][String]`>(1`[`..`][Int.rangeTo]`3) }` * * * @throws [IndexOutOfBoundsException] if any of the indices in the [range] are out of bounds. @@ -4881,17 +4881,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[cols][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[`cols`][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`<`[String][String]`>(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`<`[`String`][String]`>(1`[`..`][Int.rangeTo]`3) }` * * @throws [IndexOutOfBoundsException] if any of the indices in the [range] are out of bounds. * @throws [IllegalArgumentException] if the [range] is empty. @@ -4911,17 +4911,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[cols][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[`cols`][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`<`[String][String]`>(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::myColumnGroup.`[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`<`[`String`][String]`>(1`[`..`][Int.rangeTo]`3) }` * * @throws [IndexOutOfBoundsException] if any of the indices in the [range] are out of bounds. * @throws [IllegalArgumentException] if the [range] is empty. @@ -4940,17 +4940,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[cols][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[`cols`][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { "pathTo"["myColGroup"].`[cols][ColumnPath.cols]`(0`[`..`][Int.rangeTo]`1) }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["myColGroup"].`[`cols`][ColumnPath.cols]`(0`[`..`][Int.rangeTo]`1) }` * - * `df.`[select][DataFrame.select]` { "pathTo"["myColGroup"].`[cols][ColumnPath.cols]`<`[String][String]`>(0`[`..`][Int.rangeTo]`1) }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["myColGroup"].`[`cols`][ColumnPath.cols]`<`[`String`][String]`>(0`[`..`][Int.rangeTo]`1) }` * * @throws [IndexOutOfBoundsException] if any of the indices in the [range] are out of bounds. * @throws [IllegalArgumentException] if the [range] is empty. @@ -4968,17 +4968,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[cols][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[`cols`][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myColGroup"].`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`(0`[`..`][Int.rangeTo]`1) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myColGroup"].`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`(0`[`..`][Int.rangeTo]`1) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myColGroup"].`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`<`[String][String]`>(0`[`..`][Int.rangeTo]`1) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myColGroup"].`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`<`[`String`][String]`>(0`[`..`][Int.rangeTo]`1) }` * * @throws [IndexOutOfBoundsException] if any of the indices in the [range] are out of bounds. * @throws [IllegalArgumentException] if the [range] is empty. @@ -4998,17 +4998,17 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`colsOf`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.cols]` }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[cols][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[`cols`][kotlin.String.cols]`(0`[`..`][Int.rangeTo]`2) }` * * #### Examples for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myColGroup"].`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`(0`[`..`][Int.rangeTo]`1) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myColGroup"].`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`(0`[`..`][Int.rangeTo]`1) }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myColGroup"].`[cols][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`<`[String][String]`>(0`[`..`][Int.rangeTo]`1) }` + * `df.`[`select`][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myColGroup"].`[`cols`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.cols]`<`[`String`][String]`>(0`[`..`][Int.rangeTo]`1) }` * * @throws [IndexOutOfBoundsException] if any of the indices in the [range] are out of bounds. * @throws [IllegalArgumentException] if the [range] is empty. diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsAtAnyDepth.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsAtAnyDepth.kt index fdfbe08fa..8476d9454 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsAtAnyDepth.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsAtAnyDepth.kt @@ -44,18 +44,18 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { *      * * ### Definitions: - * `columnSet: `[ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` + * `columnSet: `[`ColumnSet`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` * *      * - * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] + * `columnGroup: `[`SingleColumn`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`String`][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<* | `[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `condition: `[ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] + * `condition: `[`ColumnFilter`][org.jetbrains.kotlinx.dataframe.ColumnFilter] * *      * @@ -64,7 +64,7 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * *      * - * [**colsAtAnyDepth**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + * [**`colsAtAnyDepth`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * *      * @@ -73,9 +73,9 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * *      * - * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * [`columnSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     **`.`**[**colsAtAnyDepth**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     __`.`__[**`colsAtAnyDepth`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * *      * @@ -84,9 +84,9 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * *      * - * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] + * [`columnGroup`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     **`.`**[**colsAtAnyDepth**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     __`.`__[**`colsAtAnyDepth`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * * * @@ -101,13 +101,13 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { */ public interface Grammar { - /** [**colsAtAnyDepth**][ColumnsSelectionDsl.colsAtAnyDepth] */ + /** [**`colsAtAnyDepth`**][ColumnsSelectionDsl.colsAtAnyDepth] */ public interface PlainDslName - /** **`.`**[**colsAtAnyDepth**][ColumnsSelectionDsl.colsAtAnyDepth] */ + /** __`.`__[**`colsAtAnyDepth`**][ColumnsSelectionDsl.colsAtAnyDepth] */ public interface ColumnSetName - /** **`.`**[**colsAtAnyDepth**][ColumnsSelectionDsl.colsAtAnyDepth] */ + /** __`.`__[**`colsAtAnyDepth`**][ColumnsSelectionDsl.colsAtAnyDepth] */ public interface ColumnGroupName } @@ -123,19 +123,19 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * #### For example: * `// Depth-first search to a column containing the value "Alice"` * - * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]`().`[first][ColumnsSelectionDsl.firstCol]` { "Alice" `[in][Iterable.contains]` it.`[values][DataColumn.values]`() } }` + * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]`().`[first][ColumnsSelectionDsl.firstCol]` { "Alice" `[in][Iterable.contains]` it.`[values][DataColumn.values]`() } }` * *      * * `// The columns at any depth excluding the top-level` * - * `df.`[select][DataFrame.select]` { `[colGroups][ColumnsSelectionDsl.colGroups]`().`[colsAtAnyDepth][ColumnSet.colsAtAnyDepth]`() }` + * `df.`[select][DataFrame.select]` { `[colGroups][ColumnsSelectionDsl.colGroups]`().`[colsAtAnyDepth][ColumnSet.colsAtAnyDepth]`() }` * *      * * `// All value- and frame columns at any depth` * - * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { !it.`[isColumnGroup][DataColumn.isColumnGroup]` } }` + * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { !it.`[isColumnGroup][DataColumn.isColumnGroup]` } }` * *      * @@ -149,7 +149,7 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * * #### Converting from deprecated syntax: * - * [dfs][dfs]` { condition } -> `[colsAtAnyDepth][colsAtAnyDepth]` { condition }` + * [dfs][dfs]` { condition } -> `[colsAtAnyDepth][colsAtAnyDepth]` { condition }` * * [allDfs][allDfs]`(includeGroups = false) -> `[colsAtAnyDepth][colsAtAnyDepth]` { includeGroups || !it.`[isColumnGroup][DataColumn.isColumnGroup]`() }` * @@ -182,19 +182,19 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * #### For example: * `// Depth-first search to a column containing the value "Alice"` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[first][org.jetbrains.kotlinx.dataframe.api.FirstColumnsSelectionDsl.firstCol]` { "Alice" `[in][Iterable.contains]` it.`[values][org.jetbrains.kotlinx.dataframe.DataColumn.values]`() } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[first][org.jetbrains.kotlinx.dataframe.api.FirstColumnsSelectionDsl.firstCol]` { "Alice" `[in][Iterable.contains]` it.`[values][org.jetbrains.kotlinx.dataframe.DataColumn.values]`() } }` * *      * * `// The columns at any depth excluding the top-level` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`().`[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.colsAtAnyDepth]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`().`[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.colsAtAnyDepth]`() }` * *      * * `// All value- and frame columns at any depth` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { !it.`[isColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.isColumnGroup]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { !it.`[isColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.isColumnGroup]` } }` * *      * @@ -204,11 +204,11 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[colGroups][ColumnsSelectionDsl.colGroups]`().`[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { "Alice" `[in][Iterable.contains]` it.`[values][DataColumn.values]`() } }` + * `df.`[select][DataFrame.select]` { `[colGroups][ColumnsSelectionDsl.colGroups]`().`[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { "Alice" `[in][Iterable.contains]` it.`[values][DataColumn.values]`() } }` * * #### Converting from deprecated syntax: * - * [dfs][dfs]` { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { condition }` + * [dfs][dfs]` { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { condition }` * * [allDfs][allDfs]`(includeGroups = false) -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { includeGroups || !it.`[isColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.isColumnGroup]`() }` * @@ -238,19 +238,19 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * #### For example: * `// Depth-first search to a column containing the value "Alice"` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[first][org.jetbrains.kotlinx.dataframe.api.FirstColumnsSelectionDsl.firstCol]` { "Alice" `[in][Iterable.contains]` it.`[values][org.jetbrains.kotlinx.dataframe.DataColumn.values]`() } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[first][org.jetbrains.kotlinx.dataframe.api.FirstColumnsSelectionDsl.firstCol]` { "Alice" `[in][Iterable.contains]` it.`[values][org.jetbrains.kotlinx.dataframe.DataColumn.values]`() } }` * *      * * `// The columns at any depth excluding the top-level` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`().`[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.colsAtAnyDepth]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`().`[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.colsAtAnyDepth]`() }` * *      * * `// All value- and frame columns at any depth` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { !it.`[isColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.isColumnGroup]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { !it.`[isColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.isColumnGroup]` } }` * *      * @@ -260,13 +260,13 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { "Alice" `[in][Iterable.contains]` it.`[values][DataColumn.values]`() }.`[first][ColumnsSelectionDsl.first]`() }` + * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { "Alice" `[in][Iterable.contains]` it.`[values][DataColumn.values]`() }.`[first][ColumnsSelectionDsl.first]`() }` * - * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { !it.`[isColumnGroup][DataColumn.isColumnGroup]` } }` + * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { !it.`[isColumnGroup][DataColumn.isColumnGroup]` } }` * * #### Converting from deprecated syntax: * - * [dfs][dfs]` { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { condition }` + * [dfs][dfs]` { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { condition }` * * [allDfs][allDfs]`(includeGroups = false) -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { includeGroups || !it.`[isColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.isColumnGroup]`() }` * @@ -296,19 +296,19 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * #### For example: * `// Depth-first search to a column containing the value "Alice"` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[first][org.jetbrains.kotlinx.dataframe.api.FirstColumnsSelectionDsl.firstCol]` { "Alice" `[in][Iterable.contains]` it.`[values][org.jetbrains.kotlinx.dataframe.DataColumn.values]`() } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[first][org.jetbrains.kotlinx.dataframe.api.FirstColumnsSelectionDsl.firstCol]` { "Alice" `[in][Iterable.contains]` it.`[values][org.jetbrains.kotlinx.dataframe.DataColumn.values]`() } }` * *      * * `// The columns at any depth excluding the top-level` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`().`[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.colsAtAnyDepth]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`().`[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.colsAtAnyDepth]`() }` * *      * * `// All value- and frame columns at any depth` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { !it.`[isColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.isColumnGroup]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { !it.`[isColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.isColumnGroup]` } }` * *      * @@ -318,11 +318,11 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { myColGroup.`[colsAtAnyDepth][SingleColumn.colsAtAnyDepth]` { "Alice" `[in][Iterable.contains]` it.`[values][DataColumn.values]`() } }` + * `df.`[select][DataFrame.select]` { myColGroup.`[colsAtAnyDepth][SingleColumn.colsAtAnyDepth]` { "Alice" `[in][Iterable.contains]` it.`[values][DataColumn.values]`() } }` * * #### Converting from deprecated syntax: * - * [dfs][dfs]` { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { condition }` + * [dfs][dfs]` { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { condition }` * * [allDfs][allDfs]`(includeGroups = false) -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { includeGroups || !it.`[isColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.isColumnGroup]`() }` * @@ -352,19 +352,19 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * #### For example: * `// Depth-first search to a column containing the value "Alice"` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[first][org.jetbrains.kotlinx.dataframe.api.FirstColumnsSelectionDsl.firstCol]` { "Alice" `[in][Iterable.contains]` it.`[values][org.jetbrains.kotlinx.dataframe.DataColumn.values]`() } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[first][org.jetbrains.kotlinx.dataframe.api.FirstColumnsSelectionDsl.firstCol]` { "Alice" `[in][Iterable.contains]` it.`[values][org.jetbrains.kotlinx.dataframe.DataColumn.values]`() } }` * *      * * `// The columns at any depth excluding the top-level` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`().`[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.colsAtAnyDepth]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`().`[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.colsAtAnyDepth]`() }` * *      * * `// All value- and frame columns at any depth` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { !it.`[isColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.isColumnGroup]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { !it.`[isColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.isColumnGroup]` } }` * *      * @@ -374,11 +374,11 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { "myColumnGroup".`[colsAtAnyDepth][String.colsAtAnyDepth]` { "Alice" `[in][Iterable.contains]` it.`[values][DataColumn.values]`() } }` + * `df.`[select][DataFrame.select]` { "myColumnGroup".`[colsAtAnyDepth][String.colsAtAnyDepth]` { "Alice" `[in][Iterable.contains]` it.`[values][DataColumn.values]`() } }` * * #### Converting from deprecated syntax: * - * [dfs][dfs]` { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { condition }` + * [dfs][dfs]` { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { condition }` * * [allDfs][allDfs]`(includeGroups = false) -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { includeGroups || !it.`[isColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.isColumnGroup]`() }` * @@ -408,19 +408,19 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * #### For example: * `// Depth-first search to a column containing the value "Alice"` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[first][org.jetbrains.kotlinx.dataframe.api.FirstColumnsSelectionDsl.firstCol]` { "Alice" `[in][Iterable.contains]` it.`[values][org.jetbrains.kotlinx.dataframe.DataColumn.values]`() } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[first][org.jetbrains.kotlinx.dataframe.api.FirstColumnsSelectionDsl.firstCol]` { "Alice" `[in][Iterable.contains]` it.`[values][org.jetbrains.kotlinx.dataframe.DataColumn.values]`() } }` * *      * * `// The columns at any depth excluding the top-level` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`().`[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.colsAtAnyDepth]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`().`[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.colsAtAnyDepth]`() }` * *      * * `// All value- and frame columns at any depth` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { !it.`[isColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.isColumnGroup]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { !it.`[isColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.isColumnGroup]` } }` * *      * @@ -430,11 +430,11 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { Type::myColumnGroup.`[colsAtAnyDepth][KProperty.colsAtAnyDepth]` { "Alice" `[in][Iterable.contains]` it.`[values][DataColumn.values]`() } }` + * `df.`[select][DataFrame.select]` { Type::myColumnGroup.`[colsAtAnyDepth][KProperty.colsAtAnyDepth]` { "Alice" `[in][Iterable.contains]` it.`[values][DataColumn.values]`() } }` * * #### Converting from deprecated syntax: * - * [dfs][dfs]` { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { condition }` + * [dfs][dfs]` { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { condition }` * * [allDfs][allDfs]`(includeGroups = false) -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { includeGroups || !it.`[isColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.isColumnGroup]`() }` * @@ -464,19 +464,19 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * #### For example: * `// Depth-first search to a column containing the value "Alice"` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[first][org.jetbrains.kotlinx.dataframe.api.FirstColumnsSelectionDsl.firstCol]` { "Alice" `[in][Iterable.contains]` it.`[values][org.jetbrains.kotlinx.dataframe.DataColumn.values]`() } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[first][org.jetbrains.kotlinx.dataframe.api.FirstColumnsSelectionDsl.firstCol]` { "Alice" `[in][Iterable.contains]` it.`[values][org.jetbrains.kotlinx.dataframe.DataColumn.values]`() } }` * *      * * `// The columns at any depth excluding the top-level` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`().`[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.colsAtAnyDepth]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]`().`[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.colsAtAnyDepth]`() }` * *      * * `// All value- and frame columns at any depth` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { !it.`[isColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.isColumnGroup]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]` { !it.`[isColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.isColumnGroup]` } }` * *      * @@ -486,11 +486,11 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { "pathTo"["myGroupCol"].`[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { "Alice" `[in][Iterable.contains]` it.`[values][DataColumn.values]`() } }` + * `df.`[select][DataFrame.select]` { "pathTo"["myGroupCol"].`[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { "Alice" `[in][Iterable.contains]` it.`[values][DataColumn.values]`() } }` * * #### Converting from deprecated syntax: * - * [dfs][dfs]` { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { condition }` + * [dfs][dfs]` { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { condition }` * * [allDfs][allDfs]`(includeGroups = false) -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { includeGroups || !it.`[isColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.isColumnGroup]`() }` * diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsInGroups.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsInGroups.kt index 08be61c5a..ed3537521 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsInGroups.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsInGroups.kt @@ -42,18 +42,18 @@ public interface ColsInGroupsColumnsSelectionDsl { *      * * ### Definitions: - * `columnSet: `[ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` + * `columnSet: `[`ColumnSet`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` * *      * - * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] + * `columnGroup: `[`SingleColumn`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`String`][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<* | `[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `condition: `[ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] + * `condition: `[`ColumnFilter`][org.jetbrains.kotlinx.dataframe.ColumnFilter] * *      * @@ -62,7 +62,7 @@ public interface ColsInGroupsColumnsSelectionDsl { * *      * - * [**colsInGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + * [**`colsInGroups`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * *      * @@ -71,9 +71,9 @@ public interface ColsInGroupsColumnsSelectionDsl { * *      * - * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * [`columnSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     **`.`**[**colsInGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     __`.`__[**`colsInGroups`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * *      * @@ -82,9 +82,9 @@ public interface ColsInGroupsColumnsSelectionDsl { * *      * - * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] + * [`columnGroup`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     **`.`**[**colsInGroups**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     __`.`__[**`colsInGroups`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * * * @@ -101,13 +101,13 @@ public interface ColsInGroupsColumnsSelectionDsl { */ public interface Grammar { - /** [**colsInGroups**][ColumnsSelectionDsl.colsInGroups] */ + /** [**`colsInGroups`**][ColumnsSelectionDsl.colsInGroups] */ public interface PlainDslName - /** **`.`**[**colsInGroups**][ColumnsSelectionDsl.colsInGroups] */ + /** __`.`__[**`colsInGroups`**][ColumnsSelectionDsl.colsInGroups] */ public interface ColumnSetName - /** **`.`**[**colsInGroups**][ColumnsSelectionDsl.colsInGroups] */ + /** __`.`__[**`colsInGroups`**][ColumnsSelectionDsl.colsInGroups] */ public interface ColumnGroupName } @@ -132,11 +132,11 @@ public interface ColsInGroupsColumnsSelectionDsl { * * you can use: * - * `df.`[select][DataFrame.select]` { `[colsInGroups][ColumnsSelectionDsl.colsInGroups]`() }` + * `df.`[select][DataFrame.select]` { `[colsInGroups][ColumnsSelectionDsl.colsInGroups]`() }` * * and * - * `df.`[select][DataFrame.select]` { `[colsInGroups][ColumnsSelectionDsl.colsInGroups]` { "user" `[in][String.contains]` it.`[name][DataColumn.name]` } }` + * `df.`[select][DataFrame.select]` { `[colsInGroups][ColumnsSelectionDsl.colsInGroups]` { "user" `[in][String.contains]` it.`[name][DataColumn.name]` } }` * *      * @@ -144,7 +144,7 @@ public interface ColsInGroupsColumnsSelectionDsl { * *      * - * `df.`[select][DataFrame.select]` { `[colGroups][ColumnsSelectionDsl.colGroups]` { "my" `[in][String.contains]` it.`[name][DataColumn.name]` }.`[colsInGroups][ColumnSet.colsInGroups]`() }` + * `df.`[select][DataFrame.select]` { `[colGroups][ColumnsSelectionDsl.colGroups]` { "my" `[in][String.contains]` it.`[name][DataColumn.name]` }.`[colsInGroups][ColumnSet.colsInGroups]`() }` * *      * @@ -185,11 +185,11 @@ public interface ColsInGroupsColumnsSelectionDsl { * * you can use: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsInGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsInGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]`() }` * * and * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsInGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` { "user" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsInGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` { "user" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * *      * @@ -197,16 +197,16 @@ public interface ColsInGroupsColumnsSelectionDsl { * *      * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[colsInGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.colsInGroups]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[colsInGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.colsInGroups]`() }` * *      * * * #### Examples of this overload: * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[colsInGroups][ColumnSet.colsInGroups]` { "my" `[in][String.contains]` it.`[name][DataColumn.name]` } }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[colsInGroups][ColumnSet.colsInGroups]` { "my" `[in][String.contains]` it.`[name][DataColumn.name]` } }` * - * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[DataRow][DataRow]`>().`[colsInGroups][ColumnSet.colsInGroups]`() }` + * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[DataRow][DataRow]`>().`[colsInGroups][ColumnSet.colsInGroups]`() }` * * @see [ColumnsSelectionDsl.cols] * @see [ColumnsSelectionDsl.colGroups] @@ -237,11 +237,11 @@ public interface ColsInGroupsColumnsSelectionDsl { * * you can use: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsInGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsInGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]`() }` * * and * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsInGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` { "user" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsInGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` { "user" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * *      * @@ -249,16 +249,16 @@ public interface ColsInGroupsColumnsSelectionDsl { * *      * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[colsInGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.colsInGroups]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[colsInGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.colsInGroups]`() }` * *      * * * #### Examples of this overload: * - * `df.`[select][DataFrame.select]` { `[colsInGroups][ColumnSet.colsInGroups]` { "my" `[in][String.contains]` it.`[name][DataColumn.name]` } }` + * `df.`[select][DataFrame.select]` { `[colsInGroups][ColumnSet.colsInGroups]` { "my" `[in][String.contains]` it.`[name][DataColumn.name]` } }` * - * `df.`[select][DataFrame.select]` { `[colsInGroups][ColumnSet.colsInGroups]`() }` + * `df.`[select][DataFrame.select]` { `[colsInGroups][ColumnSet.colsInGroups]`() }` * * @see [ColumnsSelectionDsl.cols] * @see [ColumnsSelectionDsl.colGroups] @@ -289,11 +289,11 @@ public interface ColsInGroupsColumnsSelectionDsl { * * you can use: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsInGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsInGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]`() }` * * and * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsInGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` { "user" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsInGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` { "user" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * *      * @@ -301,7 +301,7 @@ public interface ColsInGroupsColumnsSelectionDsl { * *      * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[colsInGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.colsInGroups]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[colsInGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.colsInGroups]`() }` * *      * @@ -341,11 +341,11 @@ public interface ColsInGroupsColumnsSelectionDsl { * * you can use: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsInGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsInGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]`() }` * * and * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsInGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` { "user" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsInGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` { "user" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * *      * @@ -353,7 +353,7 @@ public interface ColsInGroupsColumnsSelectionDsl { * *      * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[colsInGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.colsInGroups]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[colsInGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.colsInGroups]`() }` * *      * @@ -391,11 +391,11 @@ public interface ColsInGroupsColumnsSelectionDsl { * * you can use: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsInGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsInGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]`() }` * * and * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsInGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` { "user" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsInGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` { "user" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * *      * @@ -403,7 +403,7 @@ public interface ColsInGroupsColumnsSelectionDsl { * *      * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[colsInGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.colsInGroups]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[colsInGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.colsInGroups]`() }` * *      * @@ -443,11 +443,11 @@ public interface ColsInGroupsColumnsSelectionDsl { * * you can use: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsInGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsInGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]`() }` * * and * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsInGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` { "user" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsInGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsInGroups]` { "user" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * *      * @@ -455,7 +455,7 @@ public interface ColsInGroupsColumnsSelectionDsl { * *      * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[colsInGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.colsInGroups]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colGroups][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[colsInGroups][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.colsInGroups]`() }` * *      * diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOf.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOf.kt index 6aaf493e3..15c8d1312 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOf.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOf.kt @@ -40,29 +40,29 @@ public interface ColsOfColumnsSelectionDsl { *      * * ### Definitions: - * `columnSet: `[ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` + * `columnSet: `[`ColumnSet`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` * *      * - * `singleColumn: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` + * `singleColumn: `[`SingleColumn`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` * *      * - * `columnGroupReference: `[String][String]` | `[KProperty][kotlin.reflect.KProperty]`<*>` + * `columnGroupReference: `[`String`][String]` | `[`KProperty`][kotlin.reflect.KProperty]`<*>` * *                                         - * `| `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] + * `column: `[`ColumnAccessor`][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[`String`][String] * *             - * `| `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<*> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `condition: `[ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] + * `condition: `[`ColumnFilter`][org.jetbrains.kotlinx.dataframe.ColumnFilter] * *      * @@ -70,7 +70,7 @@ public interface ColsOfColumnsSelectionDsl { * *      * - * `kType: `[KType][kotlin.reflect.KType] + * `kType: `[`KType`][kotlin.reflect.KType] * *      * @@ -79,7 +79,7 @@ public interface ColsOfColumnsSelectionDsl { * *      * - * [**colsOf**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**` [` **`(`**[kType][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.KTypeDef]**`)`** `] [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + * [**colsOf**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]**`<`**[`T`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**` [ `**`(`**[`kType`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.KTypeDef]**`)`**` ] [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * *      * @@ -88,9 +88,9 @@ public interface ColsOfColumnsSelectionDsl { * *      * - * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * [`columnSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     **`.`**[**colsOf**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**` [` **`(`**[kType][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.KTypeDef]**`)`** `] [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     __`.`__[**`colsOf`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]**`<`**[`T`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**` [ `**`(`**[`kType`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.KTypeDef]**`)`**` ] [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * *      * @@ -100,17 +100,17 @@ public interface ColsOfColumnsSelectionDsl { *      * * - * [singleColumn][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.SingleColumnDef] + * [`singleColumn`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.SingleColumnDef] * - *     **`.`**[**colsOf**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**` [` **`(`**[kType][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.KTypeDef]**`)`** `] [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     __`.`__[**`colsOf`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]**`<`**[`T`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**` [ `**`(`**[`kType`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.KTypeDef]**`)`**` ] [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * * *      * * - * [columnGroupReference][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupNoSingleColumnDef] + * [`columnGroupReference`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupNoSingleColumnDef] * - *     **`.`**[**colsOf**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>(`**[kType][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.KTypeDef]**`)`** ` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     __`.`__[**`colsOf`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]**`<`**[`T`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>(`**[`kType`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.KTypeDef]**`)`**` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * * * @@ -132,10 +132,10 @@ public interface ColsOfColumnsSelectionDsl { /** [**colsOf**][ColumnsSelectionDsl.colsOf] */ public interface PlainDslName - /** **`.`**[**colsOf**][ColumnsSelectionDsl.colsOf] */ + /** __`.`__[**`colsOf`**][ColumnsSelectionDsl.colsOf] */ public interface ColumnSetName - /** **`.`**[**colsOf**][ColumnsSelectionDsl.colsOf] */ + /** __`.`__[**`colsOf`**][ColumnsSelectionDsl.colsOf] */ public interface ColumnGroupName } @@ -151,9 +151,9 @@ public interface ColsOfColumnsSelectionDsl { * * #### For example: * - * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>() }` + * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>() }` * - * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Int][Int]`> { it.`[size][DataColumn.size]` > 10 } }` + * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Int][Int]`> { it.`[size][DataColumn.size]` > 10 } }` * *      * @@ -171,7 +171,7 @@ public interface ColsOfColumnsSelectionDsl { * This is useful when the type is not known at compile time or when the API function cannot be inlined. * * - * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) }` + * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) }` * * `df.`[select][DataFrame.select]` { "myColumnGroup".`[colsOf][ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) { it: `[DataColumn][DataColumn]`<`[Int][Int]`> -> it.`[size][DataColumn.size]` > 10 } }` * @@ -198,9 +198,9 @@ public interface ColsOfColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>() }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`> { it.`[size][org.jetbrains.kotlinx.dataframe.DataColumn.size]` > 10 } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`> { it.`[size][org.jetbrains.kotlinx.dataframe.DataColumn.size]` > 10 } }` * *      * @@ -218,7 +218,7 @@ public interface ColsOfColumnsSelectionDsl { * This is useful when the type is not known at compile time or when the API function cannot be inlined. * * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) { it: `[DataColumn][org.jetbrains.kotlinx.dataframe.DataColumn]`<`[Int][Int]`> -> it.`[size][org.jetbrains.kotlinx.dataframe.DataColumn.size]` > 10 } }` * @@ -248,9 +248,9 @@ public interface ColsOfColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>() }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`> { it.`[size][org.jetbrains.kotlinx.dataframe.DataColumn.size]` > 10 } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`> { it.`[size][org.jetbrains.kotlinx.dataframe.DataColumn.size]` > 10 } }` * *      * @@ -268,7 +268,7 @@ public interface ColsOfColumnsSelectionDsl { * This is useful when the type is not known at compile time or when the API function cannot be inlined. * * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) { it: `[DataColumn][org.jetbrains.kotlinx.dataframe.DataColumn]`<`[Int][Int]`> -> it.`[size][org.jetbrains.kotlinx.dataframe.DataColumn.size]` > 10 } }` * @@ -298,9 +298,9 @@ public interface ColsOfColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>() }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`> { it.`[size][org.jetbrains.kotlinx.dataframe.DataColumn.size]` > 10 } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`> { it.`[size][org.jetbrains.kotlinx.dataframe.DataColumn.size]` > 10 } }` * *      * @@ -318,7 +318,7 @@ public interface ColsOfColumnsSelectionDsl { * This is useful when the type is not known at compile time or when the API function cannot be inlined. * * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) { it: `[DataColumn][org.jetbrains.kotlinx.dataframe.DataColumn]`<`[Int][Int]`> -> it.`[size][org.jetbrains.kotlinx.dataframe.DataColumn.size]` > 10 } }` * @@ -349,9 +349,9 @@ public interface ColsOfColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>() }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`> { it.`[size][org.jetbrains.kotlinx.dataframe.DataColumn.size]` > 10 } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`> { it.`[size][org.jetbrains.kotlinx.dataframe.DataColumn.size]` > 10 } }` * *      * @@ -369,15 +369,15 @@ public interface ColsOfColumnsSelectionDsl { * This is useful when the type is not known at compile time or when the API function cannot be inlined. * * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) { it: `[DataColumn][org.jetbrains.kotlinx.dataframe.DataColumn]`<`[Int][Int]`> -> it.`[size][org.jetbrains.kotlinx.dataframe.DataColumn.size]` > 10 } }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[colsOf][ColumnSet.colsOf]`(`[typeOf][typeOf]`<`[Int][Int]`>()) }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[colsOf][ColumnSet.colsOf]`(`[typeOf][typeOf]`<`[Int][Int]`>()) }` * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[colsOf][ColumnSet.colsOf]`(`[typeOf][typeOf]`<`[Int][Int]`>()) { it: `[DataColumn][DataColumn]`<`[Int][Int]`> -> it.`[size][DataColumn.size]` > 10 } }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[colsOf][ColumnSet.colsOf]`(`[typeOf][typeOf]`<`[Int][Int]`>()) { it: `[DataColumn][DataColumn]`<`[Int][Int]`> -> it.`[size][DataColumn.size]` > 10 } }` * * @param [filter] an optional filter function that takes a column of type [C] and returns `true` if the column should be included. * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing the columns of given type that were included by [filter]. @@ -399,9 +399,9 @@ public fun ColumnSet<*>.colsOf( * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>() }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`> { it.`[size][org.jetbrains.kotlinx.dataframe.DataColumn.size]` > 10 } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`> { it.`[size][org.jetbrains.kotlinx.dataframe.DataColumn.size]` > 10 } }` * *      * @@ -419,15 +419,15 @@ public fun ColumnSet<*>.colsOf( * This is useful when the type is not known at compile time or when the API function cannot be inlined. * * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) { it: `[DataColumn][org.jetbrains.kotlinx.dataframe.DataColumn]`<`[Int][Int]`> -> it.`[size][org.jetbrains.kotlinx.dataframe.DataColumn.size]` > 10 } }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[colsOf][ColumnSet.colsOf]`<`[Int][Int]`>() }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[colsOf][ColumnSet.colsOf]`<`[Int][Int]`>() }` * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[colsOf][ColumnSet.colsOf]`<`[Int][Int]`> { it.`[size][DataColumn.size]` > 10 } }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[colsOf][ColumnSet.colsOf]`<`[Int][Int]`> { it.`[size][DataColumn.size]` > 10 } }` * * @param [filter] an optional filter function that takes a column of type [C] and returns `true` if the column should be included. * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing the columns of given type that were included by [filter]. @@ -448,9 +448,9 @@ public inline fun ColumnSet<*>.colsOf( * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>() }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`> { it.`[size][org.jetbrains.kotlinx.dataframe.DataColumn.size]` > 10 } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`> { it.`[size][org.jetbrains.kotlinx.dataframe.DataColumn.size]` > 10 } }` * *      * @@ -468,13 +468,13 @@ public inline fun ColumnSet<*>.colsOf( * This is useful when the type is not known at compile time or when the API function cannot be inlined. * * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) { it: `[DataColumn][org.jetbrains.kotlinx.dataframe.DataColumn]`<`[Int][Int]`> -> it.`[size][org.jetbrains.kotlinx.dataframe.DataColumn.size]` > 10 } }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`(`[typeOf][typeOf]`<`[Int][Int]`>()) }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`(`[typeOf][typeOf]`<`[Int][Int]`>()) }` * * @param [filter] an optional filter function that takes a column of type [C] and returns `true` if the column should be included. * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing the columns of given type that were included by [filter]. @@ -496,9 +496,9 @@ public fun ColumnsSelectionDsl<*>.colsOf( * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>() }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`> { it.`[size][org.jetbrains.kotlinx.dataframe.DataColumn.size]` > 10 } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`> { it.`[size][org.jetbrains.kotlinx.dataframe.DataColumn.size]` > 10 } }` * *      * @@ -516,13 +516,13 @@ public fun ColumnsSelectionDsl<*>.colsOf( * This is useful when the type is not known at compile time or when the API function cannot be inlined. * * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) { it: `[DataColumn][org.jetbrains.kotlinx.dataframe.DataColumn]`<`[Int][Int]`> -> it.`[size][org.jetbrains.kotlinx.dataframe.DataColumn.size]` > 10 } }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>() }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>() }` * * @param [filter] an optional filter function that takes a column of type [C] and returns `true` if the column should be included. * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing the columns of given type that were included by [filter]. @@ -543,9 +543,9 @@ public inline fun ColumnsSelectionDsl<*>.colsOf( * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>() }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`> { it.`[size][org.jetbrains.kotlinx.dataframe.DataColumn.size]` > 10 } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`> { it.`[size][org.jetbrains.kotlinx.dataframe.DataColumn.size]` > 10 } }` * *      * @@ -563,7 +563,7 @@ public inline fun ColumnsSelectionDsl<*>.colsOf( * This is useful when the type is not known at compile time or when the API function cannot be inlined. * * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) { it: `[DataColumn][org.jetbrains.kotlinx.dataframe.DataColumn]`<`[Int][Int]`> -> it.`[size][org.jetbrains.kotlinx.dataframe.DataColumn.size]` > 10 } }` * @@ -593,9 +593,9 @@ public fun SingleColumn>.colsOf( * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>() }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`> { it.`[size][org.jetbrains.kotlinx.dataframe.DataColumn.size]` > 10 } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`> { it.`[size][org.jetbrains.kotlinx.dataframe.DataColumn.size]` > 10 } }` * *      * @@ -613,7 +613,7 @@ public fun SingleColumn>.colsOf( * This is useful when the type is not known at compile time or when the API function cannot be inlined. * * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) { it: `[DataColumn][org.jetbrains.kotlinx.dataframe.DataColumn]`<`[Int][Int]`> -> it.`[size][org.jetbrains.kotlinx.dataframe.DataColumn.size]` > 10 } }` * diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOfKind.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOfKind.kt index ad93ebabf..86671ed5b 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOfKind.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOfKind.kt @@ -39,22 +39,22 @@ public interface ColsOfKindColumnsSelectionDsl { *      * * ### Definitions: - * `columnSet: `[ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` + * `columnSet: `[`ColumnSet`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` * *      * - * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] + * `columnGroup: `[`SingleColumn`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`String`][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<* | `[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `condition: `[ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] + * `condition: `[`ColumnFilter`][org.jetbrains.kotlinx.dataframe.ColumnFilter] * *      * - * `kind: `[ColumnKind][org.jetbrains.kotlinx.dataframe.columns.ColumnKind] + * `kind: `[`ColumnKind`][org.jetbrains.kotlinx.dataframe.columns.ColumnKind] * *      * @@ -63,7 +63,7 @@ public interface ColsOfKindColumnsSelectionDsl { * *      * - * [**colsOfKind**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]**`(`**[kind][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnKindDef]**`,`**` ..`**`)`**` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + * [**`colsOfKind`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]**`(`**[`kind`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnKindDef]**`,`**` ..`**`)`**` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * *      * @@ -72,9 +72,9 @@ public interface ColsOfKindColumnsSelectionDsl { * *      * - * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * [`columnSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     **`.`**[**colsOfKind**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]**`(`**[kind][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnKindDef]**`,`**` ..`**`)`**` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     __`.`__[**`colsOfKind`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]**`(`**[`kind`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnKindDef]**`,`**` ..`**`)`**` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * *      * @@ -83,9 +83,9 @@ public interface ColsOfKindColumnsSelectionDsl { * *      * - * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] + * [`columnGroup`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     **`.`**[**colsOfKind**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]**`(`**[kind][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnKindDef]**`,`**` ..`**`)`**` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     __`.`__[**`colsOfKind`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]**`(`**[`kind`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnKindDef]**`,`**` ..`**`)`**` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * * * @@ -102,13 +102,13 @@ public interface ColsOfKindColumnsSelectionDsl { */ public interface Grammar { - /** [**colsOfKind**][ColumnsSelectionDsl.colGroups] */ + /** [**`colsOfKind`**][ColumnsSelectionDsl.colGroups] */ public interface PlainDslName - /** **`.`**[**colsOfKind**][ColumnsSelectionDsl.colGroups] */ + /** __`.`__[**`colsOfKind`**][ColumnsSelectionDsl.colGroups] */ public interface ColumnSetName - /** **`.`**[**colsOfKind**][ColumnsSelectionDsl.colGroups] */ + /** __`.`__[**`colsOfKind`**][ColumnsSelectionDsl.colGroups] */ public interface ColumnGroupName } @@ -125,9 +125,9 @@ public interface ColsOfKindColumnsSelectionDsl { * * #### For example: * - * `df.`[select][DataFrame.select]` { `[colsOfKind][ColumnsSelectionDsl.colsOfKind]`(`[Value][ColumnKind.Value]`, `[Frame][ColumnKind.Frame]`) { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[colsOfKind][ColumnsSelectionDsl.colsOfKind]`(`[Value][ColumnKind.Value]`, `[Frame][ColumnKind.Frame]`) { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][DataFrame.select]` { `[colsOfKind][ColumnsSelectionDsl.colsOfKind]`(`[Group][ColumnKind.Group]`) }` + * `df.`[select][DataFrame.select]` { `[colsOfKind][ColumnsSelectionDsl.colsOfKind]`(`[Group][ColumnKind.Group]`) }` * * `df.`[select][DataFrame.select]` { "myColGroup".`[colsOfKind][String.colsOfKind]`(`[Frame][ColumnKind.Frame]`) }` * @@ -163,19 +163,19 @@ public interface ColsOfKindColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOfKind][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOfKind]`(`[Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]`, `[Frame][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Frame]`) { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOfKind][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOfKind]`(`[Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]`, `[Frame][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Frame]`) { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOfKind][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOfKind]`(`[Group][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Group]`) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOfKind][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOfKind]`(`[Group][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Group]`) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[colsOfKind][kotlin.String.colsOfKind]`(`[Frame][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Frame]`) }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") }.`[colsOfKind][ColumnSet.colsOfKind]`(`[Value][ColumnKind.Value]`, `[Frame][ColumnKind.Frame]`) }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") }.`[colsOfKind][ColumnSet.colsOfKind]`(`[Value][ColumnKind.Value]`, `[Frame][ColumnKind.Frame]`) }` * * `// NOTE: This can be shortened to just:` * - * `df.`[select][DataFrame.select]` { `[colsOfKind][ColumnsSelectionDsl.colsOfKind]`(`[Value][ColumnKind.Value]`, `[Frame][ColumnKind.Frame]`) { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[colsOfKind][ColumnsSelectionDsl.colsOfKind]`(`[Value][ColumnKind.Value]`, `[Frame][ColumnKind.Frame]`) { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * * @param [filter] An optional [predicate][org.jetbrains.kotlinx.dataframe.ColumnFilter] to filter the columns of given kind(s) by. * @param [kind] The [kind][org.jetbrains.kotlinx.dataframe.columns.ColumnKind] of columns to include. @@ -209,15 +209,15 @@ public interface ColsOfKindColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOfKind][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOfKind]`(`[Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]`, `[Frame][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Frame]`) { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOfKind][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOfKind]`(`[Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]`, `[Frame][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Frame]`) { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOfKind][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOfKind]`(`[Group][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Group]`) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOfKind][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOfKind]`(`[Group][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Group]`) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[colsOfKind][kotlin.String.colsOfKind]`(`[Frame][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Frame]`) }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[colsOfKind][ColumnsSelectionDsl.colsOfKind]`(`[Value][ColumnKind.Value]`, `[Frame][ColumnKind.Frame]`) { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[colsOfKind][ColumnsSelectionDsl.colsOfKind]`(`[Value][ColumnKind.Value]`, `[Frame][ColumnKind.Frame]`) { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * * @param [filter] An optional [predicate][org.jetbrains.kotlinx.dataframe.ColumnFilter] to filter the columns of given kind(s) by. * @param [kind] The [kind][org.jetbrains.kotlinx.dataframe.columns.ColumnKind] of columns to include. @@ -251,9 +251,9 @@ public interface ColsOfKindColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOfKind][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOfKind]`(`[Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]`, `[Frame][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Frame]`) { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOfKind][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOfKind]`(`[Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]`, `[Frame][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Frame]`) { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOfKind][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOfKind]`(`[Group][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Group]`) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOfKind][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOfKind]`(`[Group][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Group]`) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[colsOfKind][kotlin.String.colsOfKind]`(`[Frame][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Frame]`) }` * @@ -293,9 +293,9 @@ public interface ColsOfKindColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOfKind][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOfKind]`(`[Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]`, `[Frame][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Frame]`) { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOfKind][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOfKind]`(`[Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]`, `[Frame][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Frame]`) { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOfKind][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOfKind]`(`[Group][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Group]`) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOfKind][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOfKind]`(`[Group][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Group]`) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[colsOfKind][kotlin.String.colsOfKind]`(`[Frame][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Frame]`) }` * @@ -332,9 +332,9 @@ public interface ColsOfKindColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOfKind][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOfKind]`(`[Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]`, `[Frame][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Frame]`) { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOfKind][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOfKind]`(`[Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]`, `[Frame][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Frame]`) { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOfKind][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOfKind]`(`[Group][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Group]`) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOfKind][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOfKind]`(`[Group][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Group]`) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[colsOfKind][kotlin.String.colsOfKind]`(`[Frame][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Frame]`) }` * @@ -371,9 +371,9 @@ public interface ColsOfKindColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOfKind][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOfKind]`(`[Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]`, `[Frame][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Frame]`) { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOfKind][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOfKind]`(`[Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]`, `[Frame][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Frame]`) { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOfKind][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOfKind]`(`[Group][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Group]`) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsOfKind][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOfKind]`(`[Group][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Group]`) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[colsOfKind][kotlin.String.colsOfKind]`(`[Frame][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Frame]`) }` * diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnNameFilters.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnNameFilters.kt index 85159079f..c26b86b37 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnNameFilters.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnNameFilters.kt @@ -32,26 +32,26 @@ public interface ColumnNameFiltersColumnsSelectionDsl { *      * * ### Definitions: - * `columnSet: `[ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` + * `columnSet: `[`ColumnSet`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` * *      * - * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] + * `columnGroup: `[`SingleColumn`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`String`][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<* | `[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `text: `[String][String] + * `text: `[`String`][String] * *      * - * `ignoreCase: `[Boolean][Boolean] + * `ignoreCase: `[`Boolean`][Boolean] * *      * - * `regex: `[Regex][Regex] + * `regex: `[`Regex`][Regex] * *      * @@ -60,9 +60,9 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * *      * - * [**nameContains**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameContains]**`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[regex][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** + * [**`nameContains`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameContains]**`(`**[`text`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[`ignoreCase`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[`regex`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** * - * `|` **`name`**`(`[**Starts**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameEndsWith]`)`**`With`**__`(`__[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** + * `| `__`name`__`(`[**`Starts`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameStartsWith]`|`[**`Ends`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameEndsWith]`)`**`With`**__`(`__[`text`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[`ignoreCase`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** * *      * @@ -71,11 +71,11 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * *      * - * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * [`columnSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     **`.`**[**nameContains**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameContains]**`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[regex][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** + *     __`.`__[**`nameContains`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameContains]**`(`**[`text`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[`ignoreCase`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[`regex`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** * - *     `|` **`.name`**`(`[**Starts**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameEndsWith]`)`**`With`**__`(`__[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** + *     `| `__`.name`__`(`[**`Starts`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameStartsWith]`|`[**`Ends`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.nameEndsWith]`)`**`With`**__`(`__[`text`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[`ignoreCase`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** * *      * @@ -84,11 +84,11 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * *      * - * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] + * [`columnGroup`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     **`.`**[**colsNameContains**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameContains]**`(`**[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[regex][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** + *     __`.`__[**`colsNameContains`**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameContains]**`(`**[`text`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[`ignoreCase`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`] | `[`regex`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.RegexDef]**`)`** * - *     `|` **`.colsName`**`(`[**Starts**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameStartsWith]`|`[**Ends**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameEndsWith]`)`**`With`**__`(`__[text][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[ignoreCase][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** + *     `| `__`.colsName`__`(`[**`Starts`**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameStartsWith]`|`[**`Ends`**][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameEndsWith]`)`**`With`**__`(`__[`text`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.TextDef]`[`**`, `**[`ignoreCase`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IgnoreCaseDef]`]`**`)`** * * * @@ -105,22 +105,22 @@ public interface ColumnNameFiltersColumnsSelectionDsl { */ public interface Grammar { - /** [**nameContains**][ColumnsSelectionDsl.nameContains] */ + /** [**`nameContains`**][ColumnsSelectionDsl.nameContains] */ public interface PlainDslNameContains - /** **`name`**`(`[**Starts**][ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][ColumnsSelectionDsl.nameEndsWith]`)`**`With`** */ + /** __`name`__`(`[**`Starts`**][ColumnsSelectionDsl.nameStartsWith]`|`[**`Ends`**][ColumnsSelectionDsl.nameEndsWith]`)`**`With`** */ public interface PlainDslNameStartsEndsWith - /** **`.`**[**nameContains**][ColumnsSelectionDsl.nameContains] */ + /** __`.`__[**`nameContains`**][ColumnsSelectionDsl.nameContains] */ public interface ColumnSetNameContains - /** **`.name`**`(`[**Starts**][ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][ColumnsSelectionDsl.nameEndsWith]`)`**`With`** */ + /** __`.name`__`(`[**`Starts`**][ColumnsSelectionDsl.nameStartsWith]`|`[**`Ends`**][ColumnsSelectionDsl.nameEndsWith]`)`**`With`** */ public interface ColumnSetNameStartsEndsWith - /** **`.`**[**colsNameContains**][ColumnsSelectionDsl.colsNameContains] */ + /**__`.`__[**`colsNameContains`**][ColumnsSelectionDsl.colsNameContains] */ public interface ColumnGroupNameContains - /** **`.colsName`**`(`[**Starts**][ColumnsSelectionDsl.colsNameStartsWith]`|`[**Ends**][ColumnsSelectionDsl.colsNameEndsWith]`)`**`With`** */ + /** __`.colsName`__`(`[**`Starts`**][ColumnsSelectionDsl.colsNameStartsWith]`|`[**`Ends`**][ColumnsSelectionDsl.colsNameEndsWith]`)`**`With`** */ public interface ColumnGroupNameStartsWith } @@ -135,13 +135,13 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * NOTE: For [column groups][ColumnGroup], `nameContains` is named `colsNameContains` to avoid confusion. * - * This function is a shorthand for [cols][ColumnsSelectionDsl.cols]` { `` `[in][String.contains]` it.`[name][DataColumn.name]` }`. + * This function is a shorthand for [cols][ColumnsSelectionDsl.cols]` { `` `[in][String.contains]` it.`[name][DataColumn.name]` }`. * * ### Check out: [Grammar] * * #### For example: * - * `df.`[select][DataFrame.select]` { `[nameContains][SingleColumn.colsNameContains]`("my") }` + * `df.`[select][DataFrame.select]` { `[nameContains][SingleColumn.colsNameContains]`("my") }` * * `df.`[select][DataFrame.select]` { "someGroupCol".`[nameContains][String.colsNameContains]`(`[Regex][Regex]`("my[a-zA-Z][a-zA-Z0-9]*")) }` * @@ -181,7 +181,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * NOTE: For [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup], `nameContains` is named `colsNameContains` to avoid confusion. * - * This function is a shorthand for [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { `[text] + * This function is a shorthand for [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { `[text] * [text] * ` `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }`. * @@ -189,7 +189,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameContains][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsNameContains]`("my") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameContains][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsNameContains]`("my") }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someGroupCol".`[nameContains][kotlin.String.colsNameContains]`(`[Regex][Regex]`("my[a-zA-Z][a-zA-Z0-9]*")) }` * @@ -220,13 +220,13 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * NOTE: For [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup], `nameContains` is named `colsNameContains` to avoid confusion. * - * This function is a shorthand for [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { `[text][text]` `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }`. + * This function is a shorthand for [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { `[text][text]` `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }`. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.Grammar] * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameContains][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsNameContains]`("my") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameContains][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsNameContains]`("my") }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someGroupCol".`[nameContains][kotlin.String.colsNameContains]`(`[Regex][Regex]`("my[a-zA-Z][a-zA-Z0-9]*")) }` * @@ -234,9 +234,9 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[nameContains][ColumnSet.nameContains]`("my") }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[nameContains][ColumnSet.nameContains]`("my") }` * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[nameContains][ColumnSet.nameContains]`("my", ignoreCase = true) }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[nameContains][ColumnSet.nameContains]`("my", ignoreCase = true) }` * * @param [text] what the column name should contain to be included in the result. * @param [ignoreCase] `true` to ignore character case when comparing strings. By default `false`. @@ -262,13 +262,13 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * NOTE: For [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup], `nameContains` is named `colsNameContains` to avoid confusion. * - * This function is a shorthand for [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { `[text][text]` `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }`. + * This function is a shorthand for [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { `[text][text]` `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }`. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.Grammar] * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameContains][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsNameContains]`("my") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameContains][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsNameContains]`("my") }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someGroupCol".`[nameContains][kotlin.String.colsNameContains]`(`[Regex][Regex]`("my[a-zA-Z][a-zA-Z0-9]*")) }` * @@ -276,7 +276,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[nameContains][ColumnsSelectionDsl.colsNameContains]`("my") }` + * `df.`[select][DataFrame.select]` { `[nameContains][ColumnsSelectionDsl.colsNameContains]`("my") }` * * @param [text] what the column name should contain to be included in the result. * @param [ignoreCase] `true` to ignore character case when comparing strings. By default `false`. @@ -301,13 +301,13 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * NOTE: For [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup], `nameContains` is named `colsNameContains` to avoid confusion. * - * This function is a shorthand for [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { `[text][text]` `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }`. + * This function is a shorthand for [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { `[text][text]` `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }`. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.Grammar] * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameContains][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsNameContains]`("my") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameContains][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsNameContains]`("my") }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someGroupCol".`[nameContains][kotlin.String.colsNameContains]`(`[Regex][Regex]`("my[a-zA-Z][a-zA-Z0-9]*")) }` * @@ -340,13 +340,13 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * NOTE: For [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup], `nameContains` is named `colsNameContains` to avoid confusion. * - * This function is a shorthand for [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { `[text][text]` `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }`. + * This function is a shorthand for [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { `[text][text]` `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }`. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.Grammar] * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameContains][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsNameContains]`("my") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameContains][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsNameContains]`("my") }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someGroupCol".`[nameContains][kotlin.String.colsNameContains]`(`[Regex][Regex]`("my[a-zA-Z][a-zA-Z0-9]*")) }` * @@ -379,13 +379,13 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * NOTE: For [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup], `nameContains` is named `colsNameContains` to avoid confusion. * - * This function is a shorthand for [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { `[text][text]` `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }`. + * This function is a shorthand for [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { `[text][text]` `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }`. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.Grammar] * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameContains][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsNameContains]`("my") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameContains][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsNameContains]`("my") }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someGroupCol".`[nameContains][kotlin.String.colsNameContains]`(`[Regex][Regex]`("my[a-zA-Z][a-zA-Z0-9]*")) }` * @@ -418,13 +418,13 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * NOTE: For [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup], `nameContains` is named `colsNameContains` to avoid confusion. * - * This function is a shorthand for [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { `[text][text]` `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }`. + * This function is a shorthand for [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { `[text][text]` `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }`. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.Grammar] * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameContains][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsNameContains]`("my") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameContains][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsNameContains]`("my") }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someGroupCol".`[nameContains][kotlin.String.colsNameContains]`(`[Regex][Regex]`("my[a-zA-Z][a-zA-Z0-9]*")) }` * @@ -457,13 +457,13 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * NOTE: For [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup], `nameContains` is named `colsNameContains` to avoid confusion. * - * This function is a shorthand for [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { `[regex][regex]` `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }`. + * This function is a shorthand for [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { `[regex][regex]` `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }`. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.Grammar] * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameContains][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsNameContains]`("my") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameContains][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsNameContains]`("my") }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someGroupCol".`[nameContains][kotlin.String.colsNameContains]`(`[Regex][Regex]`("my[a-zA-Z][a-zA-Z0-9]*")) }` * @@ -492,13 +492,13 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * NOTE: For [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup], `nameContains` is named `colsNameContains` to avoid confusion. * - * This function is a shorthand for [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { `[regex][regex]` `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }`. + * This function is a shorthand for [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { `[regex][regex]` `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }`. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.Grammar] * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameContains][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsNameContains]`("my") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameContains][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsNameContains]`("my") }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someGroupCol".`[nameContains][kotlin.String.colsNameContains]`(`[Regex][Regex]`("my[a-zA-Z][a-zA-Z0-9]*")) }` * @@ -506,9 +506,9 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[nameContains][ColumnSet.nameContains]`(`[Regex][Regex]`("order-[0-9]+")) }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[nameContains][ColumnSet.nameContains]`(`[Regex][Regex]`("order-[0-9]+")) }` * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[nameContains][ColumnSet.nameContains]`(`[Regex][Regex]`("order-[0-9]+")) }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[nameContains][ColumnSet.nameContains]`(`[Regex][Regex]`("order-[0-9]+")) }` * * @param [regex] what the column name should contain to be included in the result. * @@ -531,13 +531,13 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * NOTE: For [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup], `nameContains` is named `colsNameContains` to avoid confusion. * - * This function is a shorthand for [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { `[regex][regex]` `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }`. + * This function is a shorthand for [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { `[regex][regex]` `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }`. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.Grammar] * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameContains][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsNameContains]`("my") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameContains][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsNameContains]`("my") }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someGroupCol".`[nameContains][kotlin.String.colsNameContains]`(`[Regex][Regex]`("my[a-zA-Z][a-zA-Z0-9]*")) }` * @@ -545,7 +545,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[nameContains][ColumnsSelectionDsl.nameContains]`(`[Regex][Regex]`("order-[0-9]+")) }` + * `df.`[select][DataFrame.select]` { `[nameContains][ColumnsSelectionDsl.nameContains]`(`[Regex][Regex]`("order-[0-9]+")) }` * * @param [regex] what the column name should contain to be included in the result. * @@ -567,13 +567,13 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * NOTE: For [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup], `nameContains` is named `colsNameContains` to avoid confusion. * - * This function is a shorthand for [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { `[regex][regex]` `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }`. + * This function is a shorthand for [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { `[regex][regex]` `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }`. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.Grammar] * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameContains][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsNameContains]`("my") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameContains][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsNameContains]`("my") }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someGroupCol".`[nameContains][kotlin.String.colsNameContains]`(`[Regex][Regex]`("my[a-zA-Z][a-zA-Z0-9]*")) }` * @@ -603,13 +603,13 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * NOTE: For [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup], `nameContains` is named `colsNameContains` to avoid confusion. * - * This function is a shorthand for [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { `[regex][regex]` `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }`. + * This function is a shorthand for [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { `[regex][regex]` `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }`. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.Grammar] * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameContains][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsNameContains]`("my") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameContains][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsNameContains]`("my") }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someGroupCol".`[nameContains][kotlin.String.colsNameContains]`(`[Regex][Regex]`("my[a-zA-Z][a-zA-Z0-9]*")) }` * @@ -639,13 +639,13 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * NOTE: For [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup], `nameContains` is named `colsNameContains` to avoid confusion. * - * This function is a shorthand for [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { `[regex][regex]` `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }`. + * This function is a shorthand for [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { `[regex][regex]` `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }`. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.Grammar] * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameContains][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsNameContains]`("my") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameContains][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsNameContains]`("my") }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someGroupCol".`[nameContains][kotlin.String.colsNameContains]`(`[Regex][Regex]`("my[a-zA-Z][a-zA-Z0-9]*")) }` * @@ -675,13 +675,13 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * NOTE: For [column groups][org.jetbrains.kotlinx.dataframe.columns.ColumnGroup], `nameContains` is named `colsNameContains` to avoid confusion. * - * This function is a shorthand for [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { `[regex][regex]` `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }`. + * This function is a shorthand for [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { `[regex][regex]` `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }`. * * ### Check out: [Grammar][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.Grammar] * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameContains][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsNameContains]`("my") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameContains][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsNameContains]`("my") }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someGroupCol".`[nameContains][kotlin.String.colsNameContains]`(`[Regex][Regex]`("my[a-zA-Z][a-zA-Z0-9]*")) }` * @@ -719,7 +719,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * #### For example: * - * `df.`[select][DataFrame.select]` { `[][ColumnsSelectionDsl.]`("order") }` + * `df.`[select][DataFrame.select]` { `[][ColumnsSelectionDsl.]`("order") }` * * `df.`[select][DataFrame.select]` { "someGroupCol".`[][String.]`("b") }` * @@ -775,7 +775,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameStartsWith][ColumnsSelectionDsl.nameStartsWith]`("order") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameStartsWith][ColumnsSelectionDsl.nameStartsWith]`("order") }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someGroupCol".`[colsNameStartsWith][String.colsNameStartsWith]`("b") }` * @@ -822,7 +822,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameStartsWith][ColumnsSelectionDsl.nameStartsWith]`("order") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameStartsWith][ColumnsSelectionDsl.nameStartsWith]`("order") }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someGroupCol".`[colsNameStartsWith][String.colsNameStartsWith]`("b") }` * @@ -830,7 +830,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[nameStartsWith][ColumnSet.nameStartsWith]`("order-") }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[nameStartsWith][ColumnSet.nameStartsWith]`("order-") }` * * @param [prefix] Columns starting with this [prefix] in their name will be returned. * @param [ignoreCase] `true` to ignore character case when comparing strings. By default `false`. @@ -862,7 +862,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameStartsWith][ColumnsSelectionDsl.nameStartsWith]`("order") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameStartsWith][ColumnsSelectionDsl.nameStartsWith]`("order") }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someGroupCol".`[colsNameStartsWith][String.colsNameStartsWith]`("b") }` * @@ -870,7 +870,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[nameStartsWith][ColumnsSelectionDsl.nameStartsWith]`("order-") }` + * `df.`[select][DataFrame.select]` { `[nameStartsWith][ColumnsSelectionDsl.nameStartsWith]`("order-") }` * * @param [prefix] Columns starting with this [prefix] in their name will be returned. * @param [ignoreCase] `true` to ignore character case when comparing strings. By default `false`. @@ -901,7 +901,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameStartsWith][ColumnsSelectionDsl.nameStartsWith]`("order") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameStartsWith][ColumnsSelectionDsl.nameStartsWith]`("order") }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someGroupCol".`[colsNameStartsWith][String.colsNameStartsWith]`("b") }` * @@ -940,7 +940,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameStartsWith][ColumnsSelectionDsl.nameStartsWith]`("order") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameStartsWith][ColumnsSelectionDsl.nameStartsWith]`("order") }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someGroupCol".`[colsNameStartsWith][String.colsNameStartsWith]`("b") }` * @@ -979,7 +979,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameStartsWith][ColumnsSelectionDsl.nameStartsWith]`("order") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameStartsWith][ColumnsSelectionDsl.nameStartsWith]`("order") }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someGroupCol".`[colsNameStartsWith][String.colsNameStartsWith]`("b") }` * @@ -1018,7 +1018,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameStartsWith][ColumnsSelectionDsl.nameStartsWith]`("order") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameStartsWith][ColumnsSelectionDsl.nameStartsWith]`("order") }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someGroupCol".`[colsNameStartsWith][String.colsNameStartsWith]`("b") }` * @@ -1061,7 +1061,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameEndsWith][ColumnsSelectionDsl.nameEndsWith]`("order") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameEndsWith][ColumnsSelectionDsl.nameEndsWith]`("order") }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someGroupCol".`[colsNameEndsWith][String.colsNameEndsWith]`("b") }` * @@ -1109,7 +1109,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameEndsWith][ColumnsSelectionDsl.nameEndsWith]`("order") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameEndsWith][ColumnsSelectionDsl.nameEndsWith]`("order") }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someGroupCol".`[colsNameEndsWith][String.colsNameEndsWith]`("b") }` * @@ -1117,7 +1117,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[nameEndsWith][ColumnSet.nameEndsWith]`("-order") }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[nameEndsWith][ColumnSet.nameEndsWith]`("-order") }` * * @param [suffix] Columns ending with this [suffix] in their name will be returned. * @param [ignoreCase] `true` to ignore character case when comparing strings. By default `false`. @@ -1149,7 +1149,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameEndsWith][ColumnsSelectionDsl.nameEndsWith]`("order") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameEndsWith][ColumnsSelectionDsl.nameEndsWith]`("order") }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someGroupCol".`[colsNameEndsWith][String.colsNameEndsWith]`("b") }` * @@ -1157,7 +1157,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[nameEndsWith][ColumnsSelectionDsl.nameEndsWith]`("-order") }` + * `df.`[select][DataFrame.select]` { `[nameEndsWith][ColumnsSelectionDsl.nameEndsWith]`("-order") }` * * @param [suffix] Columns ending with this [suffix] in their name will be returned. * @param [ignoreCase] `true` to ignore character case when comparing strings. By default `false`. @@ -1188,7 +1188,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameEndsWith][ColumnsSelectionDsl.nameEndsWith]`("order") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameEndsWith][ColumnsSelectionDsl.nameEndsWith]`("order") }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someGroupCol".`[colsNameEndsWith][String.colsNameEndsWith]`("b") }` * @@ -1227,7 +1227,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameEndsWith][ColumnsSelectionDsl.nameEndsWith]`("order") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameEndsWith][ColumnsSelectionDsl.nameEndsWith]`("order") }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someGroupCol".`[colsNameEndsWith][String.colsNameEndsWith]`("b") }` * @@ -1266,7 +1266,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameEndsWith][ColumnsSelectionDsl.nameEndsWith]`("order") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameEndsWith][ColumnsSelectionDsl.nameEndsWith]`("order") }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someGroupCol".`[colsNameEndsWith][String.colsNameEndsWith]`("b") }` * @@ -1305,7 +1305,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameEndsWith][ColumnsSelectionDsl.nameEndsWith]`("order") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[nameEndsWith][ColumnsSelectionDsl.nameEndsWith]`("order") }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "someGroupCol".`[colsNameEndsWith][String.colsNameEndsWith]`("b") }` * diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnRange.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnRange.kt index bdaf3a5e4..9372ffd85 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnRange.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnRange.kt @@ -31,10 +31,10 @@ public interface ColumnRangeColumnsSelectionDsl { *      * * ### Definitions: - * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] + * `column: `[`ColumnAccessor`][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[`String`][String] * *             - * `| `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<*> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * @@ -43,7 +43,7 @@ public interface ColumnRangeColumnsSelectionDsl { * *      * - * [column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` `[**..**][org.jetbrains.kotlinx.dataframe.api.ColumnRangeColumnsSelectionDsl.rangeTo]` `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef] + * [`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` `[**`..`**][org.jetbrains.kotlinx.dataframe.api.ColumnRangeColumnsSelectionDsl.rangeTo]` `[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef] * * * @@ -62,7 +62,7 @@ public interface ColumnRangeColumnsSelectionDsl { */ public interface Grammar { - /** [**..**][ColumnsSelectionDsl.rangeTo] */ + /** [**`..`**][ColumnsSelectionDsl.rangeTo] */ public interface PlainDslName } @@ -79,7 +79,7 @@ public interface ColumnRangeColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { ` `"fromColumn"`[`..`][String.rangeTo]`"toColumn"` ` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { ``"fromColumn"`[`..`][String.rangeTo]`"toColumn"`` }` * * @param [endInclusive] The last column in the subset. * @receiver The first column in the subset. @@ -106,7 +106,7 @@ public interface ColumnRangeColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { ` `"fromColumn"`[`..`][String.rangeTo]`Type::toColumn` ` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { ``"fromColumn"`[`..`][String.rangeTo]`Type::toColumn`` }` * * @param [endInclusive] The last column in the subset. * @receiver The first column in the subset. @@ -133,7 +133,7 @@ public interface ColumnRangeColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { ` `"fromColumn"`[`..`][String.rangeTo]`toColumn` ` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { ``"fromColumn"`[`..`][String.rangeTo]`toColumn`` }` * * @param [endInclusive] The last column in the subset. * @receiver The first column in the subset. @@ -160,7 +160,7 @@ public interface ColumnRangeColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { ` `Type::fromColumn`[`..`][KProperty.rangeTo]`"toColumn"` ` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { ``Type::fromColumn`[`..`][KProperty.rangeTo]`"toColumn"`` }` * * @param [endInclusive] The last column in the subset. * @receiver The first column in the subset. @@ -187,7 +187,7 @@ public interface ColumnRangeColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { ` `Type::fromColumn`[`..`][KProperty.rangeTo]`Type::toColumn` ` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { ``Type::fromColumn`[`..`][KProperty.rangeTo]`Type::toColumn`` }` * * @param [endInclusive] The last column in the subset. * @receiver The first column in the subset. @@ -214,7 +214,7 @@ public interface ColumnRangeColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { ` `Type::fromColumn`[`..`][KProperty.rangeTo]`toColumn` ` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { ``Type::fromColumn`[`..`][KProperty.rangeTo]`toColumn`` }` * * @param [endInclusive] The last column in the subset. * @receiver The first column in the subset. @@ -241,7 +241,7 @@ public interface ColumnRangeColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { ` `fromColumn`[`..`][ColumnReference.rangeTo]`"toColumn"` ` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { ``fromColumn`[`..`][ColumnReference.rangeTo]`"toColumn"`` }` * * @param [endInclusive] The last column in the subset. * @receiver The first column in the subset. @@ -268,7 +268,7 @@ public interface ColumnRangeColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { ` `fromColumn`[`..`][ColumnReference.rangeTo]`Type::toColumn` ` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { ``fromColumn`[`..`][ColumnReference.rangeTo]`Type::toColumn`` }` * * @param [endInclusive] The last column in the subset. * @receiver The first column in the subset. @@ -295,7 +295,7 @@ public interface ColumnRangeColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { ` `fromColumn`[`..`][ColumnReference.rangeTo]`toColumn` ` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { ``fromColumn`[`..`][ColumnReference.rangeTo]`toColumn`` }` * * @param [endInclusive] The last column in the subset. * @receiver The first column in the subset. diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/distinct.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/distinct.kt index 0ebd7614d..b6c6c11e0 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/distinct.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/distinct.kt @@ -66,7 +66,7 @@ public interface DistinctColumnsSelectionDsl { *      * * ### Definitions: - * `columnSet: `[ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` + * `columnSet: `[`ColumnSet`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` * * * @@ -77,9 +77,9 @@ public interface DistinctColumnsSelectionDsl { * *      * - * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * [`columnSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     **`.`**[**distinct**][org.jetbrains.kotlinx.dataframe.api.DistinctColumnsSelectionDsl.distinct]**`()`** + *     __`.`__[**`distinct`**][org.jetbrains.kotlinx.dataframe.api.DistinctColumnsSelectionDsl.distinct]**`()`** * * * @@ -97,7 +97,7 @@ public interface DistinctColumnsSelectionDsl { */ public interface Grammar { - /** **`.`**[**distinct**][ColumnsSelectionDsl.distinct] */ + /** __`.`__[**`distinct`**][ColumnsSelectionDsl.distinct] */ public interface ColumnSetName } @@ -114,7 +114,7 @@ public interface DistinctColumnsSelectionDsl { * #### For Example: * `df.`[select][DataFrame.select]` { (`[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>() `[and][ColumnsSelectionDsl.and]` age).`[distinct][ColumnSet.distinct]`() }` * - * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]`().`[nameStartsWith][ColumnsSelectionDsl.nameStartsWith]`("order").`[distinct][ColumnSet.distinct]`() }` + * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]`().`[nameStartsWith][ColumnsSelectionDsl.nameStartsWith]`("order").`[distinct][ColumnSet.distinct]`() }` * * @return A new [ColumnSet] containing only distinct columns (by path). * @see ColumnsSelectionDsl.named diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/drop.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/drop.kt index eb1d65daa..663819744 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/drop.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/drop.kt @@ -88,22 +88,22 @@ public interface DropColumnsSelectionDsl { *      * * ### Definitions: - * `columnSet: `[ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` + * `columnSet: `[`ColumnSet`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` * *      * - * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] + * `columnGroup: `[`SingleColumn`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`String`][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<* | `[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `condition: `[ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] + * `condition: `[`ColumnFilter`][org.jetbrains.kotlinx.dataframe.ColumnFilter] * *      * - * `number: `[Int][Int] + * `number: `[`Int`][Int] * *      * @@ -112,9 +112,9 @@ public interface DropColumnsSelectionDsl { * *      * - * [**drop**][ColumnsSelectionDsl.drop]`(`[**Last**][ColumnsSelectionDsl.dropLast]`)`**`(`**[number][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** + * [**`drop`**][ColumnsSelectionDsl.drop]`(`[**`Last`**][ColumnsSelectionDsl.dropLast]`)`**`(`**[`number`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** * - * `|` [**drop**][ColumnsSelectionDsl.dropWhile]`(`[**Last**][ColumnsSelectionDsl.dropLastWhile]`)`[**While**][ColumnsSelectionDsl.dropWhile]**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** + * `| `[**`drop`**][ColumnsSelectionDsl.dropWhile]`(`[**`Last`**][ColumnsSelectionDsl.dropLastWhile]`)`[**`While`**][ColumnsSelectionDsl.dropWhile]**` { `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** * *      * @@ -123,11 +123,11 @@ public interface DropColumnsSelectionDsl { * *      * - * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * [`columnSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     .[**drop**][ColumnsSelectionDsl.drop]`(`[**Last**][ColumnSet.dropLast]`)`**`(`**[number][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** + *     __`.`__[**`drop`**][ColumnsSelectionDsl.drop]`(`[**`Last`**][ColumnSet.dropLast]`)`**`(`**[`number`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** * - *     `|` .[**drop**][ColumnsSelectionDsl.dropWhile]`(`[**Last**][ColumnsSelectionDsl.dropLastWhile]`)`[**While**][ColumnsSelectionDsl.dropWhile]**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** + *     `| `__`.`__[**`drop`**][ColumnsSelectionDsl.dropWhile]`(`[**`Last`**][ColumnsSelectionDsl.dropLastWhile]`)`[**`While`**][ColumnsSelectionDsl.dropWhile]**` { `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** * *      * @@ -136,11 +136,11 @@ public interface DropColumnsSelectionDsl { * *      * - * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] + * [`columnGroup`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     .[**drop**][ColumnsSelectionDsl.dropCols]`(`[**Last**][ColumnsSelectionDsl.dropLastCols]`)`[**Cols**][ColumnsSelectionDsl.dropCols]**`(`**[number][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** + *     __`.`__[**`drop`**][ColumnsSelectionDsl.dropCols]`(`[**`Last`**][ColumnsSelectionDsl.dropLastCols]`)`[**`Cols`**][ColumnsSelectionDsl.dropCols]**`(`**[`number`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** * - *     `|` .[**drop**][ColumnsSelectionDsl.dropColsWhile]`(`[**Last**][ColumnsSelectionDsl.dropLastColsWhile]`)`[**ColsWhile**][ColumnsSelectionDsl.dropColsWhile]**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** + *     `| `__`.`__[**`drop`**][ColumnsSelectionDsl.dropColsWhile]`(`[**`Last`**][ColumnsSelectionDsl.dropLastColsWhile]`)`[**`ColsWhile`**][ColumnsSelectionDsl.dropColsWhile]**` { `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** * * * @@ -157,22 +157,22 @@ public interface DropColumnsSelectionDsl { */ public interface Grammar { - /** [**drop**][ColumnsSelectionDsl.drop]`(`[**Last**][ColumnsSelectionDsl.dropLast]`)` */ + /** [**`drop`**][ColumnsSelectionDsl.drop]`(`[**`Last`**][ColumnsSelectionDsl.dropLast]`)` */ public interface PlainDslName - /** **`.`**[**drop**][ColumnsSelectionDsl.drop]`(`[**Last**][ColumnSet.dropLast]`)` */ + /** __`.`__[**`drop`**][ColumnsSelectionDsl.drop]`(`[**`Last`**][ColumnSet.dropLast]`)` */ public interface ColumnSetName - /** **`.`**[**drop**][ColumnsSelectionDsl.dropCols]`(`[**Last**][ColumnsSelectionDsl.dropLastCols]`)`[**Cols**][ColumnsSelectionDsl.dropCols] */ + /** __`.`__[**`drop`**][ColumnsSelectionDsl.dropCols]`(`[**`Last`**][ColumnsSelectionDsl.dropLastCols]`)`[**`Cols`**][ColumnsSelectionDsl.dropCols] */ public interface ColumnGroupName - /** [**drop**][ColumnsSelectionDsl.dropWhile]`(`[**Last**][ColumnsSelectionDsl.dropLastWhile]`)`[**While**][ColumnsSelectionDsl.dropWhile] */ + /** [**`drop`**][ColumnsSelectionDsl.dropWhile]`(`[**`Last`**][ColumnsSelectionDsl.dropLastWhile]`)`[**`While`**][ColumnsSelectionDsl.dropWhile] */ public interface PlainDslWhileName - /** **`.`**[**drop**][ColumnsSelectionDsl.dropWhile]`(`[**Last**][ColumnsSelectionDsl.dropLastWhile]`)`[**While**][ColumnsSelectionDsl.dropWhile] */ + /** __`.`__[**`drop`**][ColumnsSelectionDsl.dropWhile]`(`[**`Last`**][ColumnsSelectionDsl.dropLastWhile]`)`[**`While`**][ColumnsSelectionDsl.dropWhile] */ public interface ColumnSetWhileName - /** **`.`**[**drop**][ColumnsSelectionDsl.dropColsWhile]`(`[**Last**][ColumnsSelectionDsl.dropLastColsWhile]`)`[**ColsWhile**][ColumnsSelectionDsl.dropColsWhile] */ + /** __`.`__[**`drop`**][ColumnsSelectionDsl.dropColsWhile]`(`[**`Last`**][ColumnsSelectionDsl.dropLastColsWhile]`)`[**`ColsWhile`**][ColumnsSelectionDsl.dropColsWhile] */ public interface ColumnGroupWhileName } @@ -235,9 +235,9 @@ public interface DropColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[drop][ColumnSet.drop]`(2) }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[drop][ColumnSet.drop]`(2) }` * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[drop][ColumnSet.drop]`(2) }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[drop][ColumnSet.drop]`(2) }` * * @param [n] The number of columns to drop. * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing the first [n] columns. @@ -269,7 +269,7 @@ public interface DropColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[drop][ColumnsSelectionDsl.drop]`(5) }` + * `df.`[select][DataFrame.select]` { `[drop][ColumnsSelectionDsl.drop]`(5) }` * * @param [n] The number of columns to drop. * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing the first [n] columns. @@ -467,9 +467,9 @@ public interface DropColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[dropLast][ColumnSet.dropLast]`(2) }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[dropLast][ColumnSet.dropLast]`(2) }` * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[dropLast][ColumnSet.dropLast]`() }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[dropLast][ColumnSet.dropLast]`() }` * * @param [n] The number of columns to drop. * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing the last [n] columns. @@ -501,7 +501,7 @@ public interface DropColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[dropLast][ColumnsSelectionDsl.dropLast]`(5) }` + * `df.`[select][DataFrame.select]` { `[dropLast][ColumnsSelectionDsl.dropLast]`(5) }` * * @param [n] The number of columns to drop. * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing the last [n] columns. @@ -658,11 +658,11 @@ public interface DropColumnsSelectionDsl { * ### Check out: [Usage] * * #### Examples: - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[dropWhile][ColumnSet.dropWhile]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[`dropWhile`][ColumnSet.dropWhile]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[dropWhile][SingleColumn.dropColsWhile]` { it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`dropWhile`][SingleColumn.dropColsWhile]` { it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[dropColsWhile][String.dropColsWhile]` { it.`[kind][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[ColumnKind.Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`dropColsWhile`][String.dropColsWhile]` { it.`[`kind`][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[`ColumnKind.Value`][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` * * #### Examples for this overload: * @@ -689,17 +689,17 @@ public interface DropColumnsSelectionDsl { * ### Check out: [Usage] * * #### Examples: - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[dropWhile][ColumnSet.dropWhile]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[`dropWhile`][ColumnSet.dropWhile]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[dropWhile][SingleColumn.dropColsWhile]` { it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`dropWhile`][SingleColumn.dropColsWhile]` { it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[dropColsWhile][String.dropColsWhile]` { it.`[kind][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[ColumnKind.Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`dropColsWhile`][String.dropColsWhile]` { it.`[`kind`][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[`ColumnKind.Value`][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[dropWhile][ColumnSet.dropWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[dropWhile][ColumnSet.dropWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[dropWhile][ColumnSet.dropWhile]` { it.`[name][ColumnWithPath.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[dropWhile][ColumnSet.dropWhile]` { it.`[name][ColumnWithPath.name]`.`[startsWith][String.startsWith]`("my") } }` * * @param [predicate] The [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] to control which columns to drop. * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing the first columns adhering to the [predicate]. @@ -723,15 +723,15 @@ public interface DropColumnsSelectionDsl { * ### Check out: [Usage] * * #### Examples: - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[dropWhile][ColumnSet.dropWhile]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[`dropWhile`][ColumnSet.dropWhile]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[dropWhile][SingleColumn.dropColsWhile]` { it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`dropWhile`][SingleColumn.dropColsWhile]` { it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[dropColsWhile][String.dropColsWhile]` { it.`[kind][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[ColumnKind.Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`dropColsWhile`][String.dropColsWhile]` { it.`[`kind`][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[`ColumnKind.Value`][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[dropWhile][ColumnsSelectionDsl.dropWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` + * `df.`[select][DataFrame.select]` { `[dropWhile][ColumnsSelectionDsl.dropWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` * * @param [predicate] The [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] to control which columns to drop. * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing the first columns adhering to the [predicate]. @@ -755,11 +755,11 @@ public interface DropColumnsSelectionDsl { * ### Check out: [Usage] * * #### Examples: - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[dropWhile][ColumnSet.dropWhile]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[`dropWhile`][ColumnSet.dropWhile]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[dropWhile][SingleColumn.dropColsWhile]` { it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`dropWhile`][SingleColumn.dropColsWhile]` { it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[dropColsWhile][String.dropColsWhile]` { it.`[kind][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[ColumnKind.Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`dropColsWhile`][String.dropColsWhile]` { it.`[`kind`][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[`ColumnKind.Value`][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` * * #### Examples for this overload: * @@ -787,11 +787,11 @@ public interface DropColumnsSelectionDsl { * ### Check out: [Usage] * * #### Examples: - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[dropWhile][ColumnSet.dropWhile]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[`dropWhile`][ColumnSet.dropWhile]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[dropWhile][SingleColumn.dropColsWhile]` { it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`dropWhile`][SingleColumn.dropColsWhile]` { it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[dropColsWhile][String.dropColsWhile]` { it.`[kind][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[ColumnKind.Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`dropColsWhile`][String.dropColsWhile]` { it.`[`kind`][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[`ColumnKind.Value`][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` * * #### Examples for this overload: * @@ -819,11 +819,11 @@ public interface DropColumnsSelectionDsl { * ### Check out: [Usage] * * #### Examples: - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[dropWhile][ColumnSet.dropWhile]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[`dropWhile`][ColumnSet.dropWhile]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[dropWhile][SingleColumn.dropColsWhile]` { it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`dropWhile`][SingleColumn.dropColsWhile]` { it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[dropColsWhile][String.dropColsWhile]` { it.`[kind][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[ColumnKind.Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`dropColsWhile`][String.dropColsWhile]` { it.`[`kind`][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[`ColumnKind.Value`][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` * * #### Examples for this overload: * @@ -851,11 +851,11 @@ public interface DropColumnsSelectionDsl { * ### Check out: [Usage] * * #### Examples: - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[dropWhile][ColumnSet.dropWhile]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[`dropWhile`][ColumnSet.dropWhile]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[dropWhile][SingleColumn.dropColsWhile]` { it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`dropWhile`][SingleColumn.dropColsWhile]` { it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[dropColsWhile][String.dropColsWhile]` { it.`[kind][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[ColumnKind.Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`dropColsWhile`][String.dropColsWhile]` { it.`[`kind`][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[`ColumnKind.Value`][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` * * #### Examples for this overload: * @@ -887,11 +887,11 @@ public interface DropColumnsSelectionDsl { * ### Check out: [Usage] * * #### Examples: - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[dropLastWhile][ColumnSet.dropLastWhile]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[`dropLastWhile`][ColumnSet.dropLastWhile]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[dropLastWhile][SingleColumn.dropLastColsWhile]` { it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`dropLastWhile`][SingleColumn.dropLastColsWhile]` { it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[dropLastColsWhile][String.dropLastColsWhile]` { it.`[kind][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[ColumnKind.Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`dropLastColsWhile`][String.dropLastColsWhile]` { it.`[`kind`][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[`ColumnKind.Value`][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` * * #### Examples for this overload: * @@ -918,17 +918,17 @@ public interface DropColumnsSelectionDsl { * ### Check out: [Usage] * * #### Examples: - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[dropLastWhile][ColumnSet.dropLastWhile]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[`dropLastWhile`][ColumnSet.dropLastWhile]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[dropLastWhile][SingleColumn.dropLastColsWhile]` { it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`dropLastWhile`][SingleColumn.dropLastColsWhile]` { it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[dropLastColsWhile][String.dropLastColsWhile]` { it.`[kind][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[ColumnKind.Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`dropLastColsWhile`][String.dropLastColsWhile]` { it.`[`kind`][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[`ColumnKind.Value`][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[dropLastWhile][ColumnSet.dropLastWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[dropLastWhile][ColumnSet.dropLastWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[dropLastWhile][ColumnSet.dropLastWhile]` { it.`[name][ColumnWithPath.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[dropLastWhile][ColumnSet.dropLastWhile]` { it.`[name][ColumnWithPath.name]`.`[startsWith][String.startsWith]`("my") } }` * * @param [predicate] The [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] to control which columns to drop. * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing the last columns adhering to the [predicate]. @@ -952,15 +952,15 @@ public interface DropColumnsSelectionDsl { * ### Check out: [Usage] * * #### Examples: - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[dropLastWhile][ColumnSet.dropLastWhile]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[`dropLastWhile`][ColumnSet.dropLastWhile]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[dropLastWhile][SingleColumn.dropLastColsWhile]` { it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`dropLastWhile`][SingleColumn.dropLastColsWhile]` { it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[dropLastColsWhile][String.dropLastColsWhile]` { it.`[kind][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[ColumnKind.Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`dropLastColsWhile`][String.dropLastColsWhile]` { it.`[`kind`][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[`ColumnKind.Value`][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[dropLastWhile][ColumnsSelectionDsl.dropLastWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` + * `df.`[select][DataFrame.select]` { `[dropLastWhile][ColumnsSelectionDsl.dropLastWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` * * @param [predicate] The [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] to control which columns to drop. * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing the last columns adhering to the [predicate]. @@ -984,11 +984,11 @@ public interface DropColumnsSelectionDsl { * ### Check out: [Usage] * * #### Examples: - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[dropLastWhile][ColumnSet.dropLastWhile]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[`dropLastWhile`][ColumnSet.dropLastWhile]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[dropLastWhile][SingleColumn.dropLastColsWhile]` { it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`dropLastWhile`][SingleColumn.dropLastColsWhile]` { it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[dropLastColsWhile][String.dropLastColsWhile]` { it.`[kind][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[ColumnKind.Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`dropLastColsWhile`][String.dropLastColsWhile]` { it.`[`kind`][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[`ColumnKind.Value`][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` * * #### Examples for this overload: * @@ -1016,11 +1016,11 @@ public interface DropColumnsSelectionDsl { * ### Check out: [Usage] * * #### Examples: - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[dropLastWhile][ColumnSet.dropLastWhile]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[`dropLastWhile`][ColumnSet.dropLastWhile]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[dropLastWhile][SingleColumn.dropLastColsWhile]` { it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`dropLastWhile`][SingleColumn.dropLastColsWhile]` { it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[dropLastColsWhile][String.dropLastColsWhile]` { it.`[kind][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[ColumnKind.Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`dropLastColsWhile`][String.dropLastColsWhile]` { it.`[`kind`][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[`ColumnKind.Value`][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` * * #### Examples for this overload: * @@ -1048,11 +1048,11 @@ public interface DropColumnsSelectionDsl { * ### Check out: [Usage] * * #### Examples: - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[dropLastWhile][ColumnSet.dropLastWhile]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[`dropLastWhile`][ColumnSet.dropLastWhile]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[dropLastWhile][SingleColumn.dropLastColsWhile]` { it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`dropLastWhile`][SingleColumn.dropLastColsWhile]` { it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[dropLastColsWhile][String.dropLastColsWhile]` { it.`[kind][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[ColumnKind.Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`dropLastColsWhile`][String.dropLastColsWhile]` { it.`[`kind`][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[`ColumnKind.Value`][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` * * #### Examples for this overload: * @@ -1082,11 +1082,11 @@ public interface DropColumnsSelectionDsl { * ### Check out: [Usage] * * #### Examples: - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[dropLastWhile][ColumnSet.dropLastWhile]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[`dropLastWhile`][ColumnSet.dropLastWhile]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[dropLastWhile][SingleColumn.dropLastColsWhile]` { it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`dropLastWhile`][SingleColumn.dropLastColsWhile]` { it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[dropLastColsWhile][String.dropLastColsWhile]` { it.`[kind][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[ColumnKind.Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`dropLastColsWhile`][String.dropLastColsWhile]` { it.`[`kind`][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[`ColumnKind.Value`][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` * * #### Examples for this overload: * diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/expr.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/expr.kt index 9babb3e72..f836b3cef 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/expr.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/expr.kt @@ -28,11 +28,11 @@ public interface ExprColumnsSelectionDsl { *      * * ### Definitions: - * `name: `[String][String] + * `name: `[`String`][String] * *      * - * `infer: `[Infer][org.jetbrains.kotlinx.dataframe.api.Infer] + * `infer: `[`Infer`][org.jetbrains.kotlinx.dataframe.api.Infer] * *      * @@ -45,7 +45,7 @@ public interface ExprColumnsSelectionDsl { * *      * - * [**expr**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.expr]**`(`**`[`[name][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NameDef]**`,`**`][`[infer][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.InferDef]`]`**`)`** **`{ `**[expression][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnExpressionDef]**` }`** + * [**`expr`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.expr]**`(`**`[`[`name`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NameDef]**`,`**`][`[`infer`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.InferDef]`]`**`) { `**[`expression`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnExpressionDef]**` }`** * * * @@ -64,7 +64,7 @@ public interface ExprColumnsSelectionDsl { */ public interface Grammar { - /** [**expr**][ColumnsSelectionDsl.expr] */ + /** [**`expr`**][ColumnsSelectionDsl.expr] */ public interface PlainDslName } } @@ -81,9 +81,9 @@ public interface ExprColumnsSelectionDsl { * * #### For example: * - * `df.`[groupBy][DataFrame.groupBy]` { `[expr][ColumnsSelectionDsl.expr]` { firstName.`[length][String.length]` + lastName.`[length][String.length]` } `[named][named]` "nameLength" }` + * `df.`[groupBy][DataFrame.groupBy]` { `[`expr`][ColumnsSelectionDsl.expr]` { firstName.`[`length`][String.length]` + lastName.`[`length`][String.length]` } `[`named`][named]` "nameLength" }` * - * `df.`[sortBy][DataFrame.sortBy]` { `[expr][ColumnsSelectionDsl.expr]` { name.`[length][String.length]` }.`[desc][SortDsl.desc]`() }` + * `df.`[sortBy][DataFrame.sortBy]` { `[`expr`][ColumnsSelectionDsl.expr]` { name.`[`length`][String.length]` }.`[`desc`][SortDsl.desc]`() }` * * @param [name] The name the temporary column. Is empty by default ("untitled" in the DataFrame). * @param [infer] [An enum][org.jetbrains.kotlinx.dataframe.api.Infer.Infer] that indicates how [DataColumn.type][org.jetbrains.kotlinx.dataframe.DataColumn.type] should be calculated. diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/filter.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/filter.kt index bf0525d89..b8fd3f35d 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/filter.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/filter.kt @@ -71,11 +71,11 @@ public interface FilterColumnsSelectionDsl { *      * * ### Definitions: - * `columnSet: `[ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` + * `columnSet: `[`ColumnSet`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` * *      * - * `condition: `[ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] + * `condition: `[`ColumnFilter`][org.jetbrains.kotlinx.dataframe.ColumnFilter] * * * @@ -86,9 +86,9 @@ public interface FilterColumnsSelectionDsl { * *      * - * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * [`columnSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     **`.`**[**filter**][org.jetbrains.kotlinx.dataframe.api.FilterColumnsSelectionDsl.filter]**` {`** [condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef] **`}`** + *     __`.`__[**`filter`**][org.jetbrains.kotlinx.dataframe.api.FilterColumnsSelectionDsl.filter]**` { `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** * * * @@ -107,7 +107,7 @@ public interface FilterColumnsSelectionDsl { */ public interface Grammar { - /** **`.`**[**filter**][ColumnsSelectionDsl.filter] */ + /** __`.`__[**`filter`**][ColumnsSelectionDsl.filter] */ public interface ColumnSetName } @@ -124,13 +124,13 @@ public interface FilterColumnsSelectionDsl { * * #### For example: * - * `df.`[remove][DataFrame.remove]` { `[all][ColumnsSelectionDsl.all]`().`[filter][ColumnSet.filter]` { it.`[hasNulls][DataColumn.hasNulls]`() } }` + * `df.`[`remove`][DataFrame.remove]` { `[`all`][ColumnsSelectionDsl.all]`().`[`filter`][ColumnSet.filter]` { it.`[`hasNulls`][DataColumn.hasNulls]`() } }` * - * `// and although this can be shortened to just the `[colsOf][colsOf]` call:` + * `// and although this can be shortened to just the `[`colsOf`][colsOf]` call:` * - * `df.`[select][DataFrame.select]` { `[colsOf][colsOf]`<`[String][String]`>().`[filter][ColumnSet.filter]` { "e" `[in][String.contains]` it.`[name][ColumnPath.name]`() } }` + * `df.`[`select`][DataFrame.select]` { `[`colsOf`][colsOf]`<`[`String`][String]`>().`[`filter`][ColumnSet.filter]` { "e" `[`in`][String.contains]` it.`[`name`][ColumnPath.name]`() } }` * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>()`[`[`][ColumnsSelectionDsl.cols]`{ it.`[any][ColumnWithPath.any]` { it == "Alice" } }`[`]`][ColumnsSelectionDsl.cols]` }` + * `df.`[`select`][DataFrame.select]` { `[`colsOf`][SingleColumn.colsOf]`<`[`String`][String]`>()`[`[`][ColumnsSelectionDsl.cols]`{ it.`[`any`][ColumnWithPath.any]` { it == "Alice" } }`[`]`][ColumnsSelectionDsl.cols]` }` * * @param [predicate] A [ColumnFilter function][ColumnFilter] that takes a [ColumnReference] and returns a [Boolean]. * @return A [ColumnSet] containing the columns that match the given [predicate]. diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/first.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/first.kt index 31f8d1253..f85e5ec04 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/first.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/first.kt @@ -101,18 +101,18 @@ public interface FirstColumnsSelectionDsl { *      * * ### Definitions: - * `columnSet: `[ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` + * `columnSet: `[`ColumnSet`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` * *      * - * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] + * `columnGroup: `[`SingleColumn`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`String`][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<* | `[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `condition: `[ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] + * `condition: `[`ColumnFilter`][org.jetbrains.kotlinx.dataframe.ColumnFilter] * *      * @@ -121,7 +121,7 @@ public interface FirstColumnsSelectionDsl { * *      * - * [**first**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.first]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + * [**`first`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.first]` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * *      * @@ -130,9 +130,9 @@ public interface FirstColumnsSelectionDsl { * *      * - * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * [`columnSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     **`.`**[**first**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.first]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     __`.`__[**`first`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.first]` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * *      * @@ -141,9 +141,9 @@ public interface FirstColumnsSelectionDsl { * *      * - * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] + * [`columnGroup`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     **`.`**[**firstCol**][org.jetbrains.kotlinx.dataframe.api.FirstColumnsSelectionDsl.firstCol]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     __`.`__[**`firstCol`**][org.jetbrains.kotlinx.dataframe.api.FirstColumnsSelectionDsl.firstCol]` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * * * @@ -160,13 +160,13 @@ public interface FirstColumnsSelectionDsl { */ public interface Grammar { - /** [**first**][ColumnsSelectionDsl.first] */ + /** [**`first`**][ColumnsSelectionDsl.first] */ public interface PlainDslName - /** **`.`**[**first**][ColumnsSelectionDsl.first] */ + /** __`.`__[**`first`**][ColumnsSelectionDsl.first] */ public interface ColumnSetName - /** **`.`**[**firstCol**][ColumnsSelectionDsl.firstCol] */ + /** __`.`__[**`firstCol`**][ColumnsSelectionDsl.firstCol] */ public interface ColumnGroupName } @@ -184,7 +184,7 @@ public interface FirstColumnsSelectionDsl { * * #### Examples: * - * `df.`[select][DataFrame.select]` { `[first][ColumnsSelectionDsl.first]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` + * `df.`[select][DataFrame.select]` { `[first][ColumnsSelectionDsl.first]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * * `df.`[select][DataFrame.select]` { "myColumnGroup".`[firstCol][String.firstCol]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` * @@ -218,15 +218,15 @@ public interface FirstColumnsSelectionDsl { * * #### Examples: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[first][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.first]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[first][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.first]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[firstCol][kotlin.String.firstCol]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[first][ColumnSet.first]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[first][ColumnSet.first]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[first][ColumnSet.first]`() }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[first][ColumnSet.first]`() }` * * @param [condition] The optional [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] condition that the column must adhere to. * @return A [SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn] containing the first column @@ -254,13 +254,13 @@ public interface FirstColumnsSelectionDsl { * * #### Examples: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[first][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.first]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[first][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.first]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[firstCol][kotlin.String.firstCol]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[first][ColumnsSelectionDsl.first]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` + * `df.`[select][DataFrame.select]` { `[first][ColumnsSelectionDsl.first]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` * * @param [condition] The optional [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] condition that the column must adhere to. * @return A [SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn] containing the first column @@ -285,7 +285,7 @@ public interface FirstColumnsSelectionDsl { * * #### Examples: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[first][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.first]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[first][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.first]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[firstCol][kotlin.String.firstCol]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` * @@ -316,7 +316,7 @@ public interface FirstColumnsSelectionDsl { * * #### Examples: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[first][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.first]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[first][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.first]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[firstCol][kotlin.String.firstCol]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` * @@ -347,7 +347,7 @@ public interface FirstColumnsSelectionDsl { * * #### Examples: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[first][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.first]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[first][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.first]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[firstCol][kotlin.String.firstCol]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` * @@ -380,7 +380,7 @@ public interface FirstColumnsSelectionDsl { * * #### Examples: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[first][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.first]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[first][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.first]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[firstCol][kotlin.String.firstCol]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` * diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCol.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCol.kt index 7249eefc0..6f4b3fc8a 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCol.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCol.kt @@ -43,25 +43,25 @@ public interface FrameColColumnsSelectionDsl { *      * * ### Definitions: - * `columnSet: `[ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` + * `columnSet: `[`ColumnSet`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` * *      * - * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] + * `columnGroup: `[`SingleColumn`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`String`][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<* | `[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] + * `column: `[`ColumnAccessor`][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[`String`][String] * *             - * `| `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<*> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `index: `[Int][Int] + * `index: `[`Int`][Int] * *      * @@ -74,7 +74,7 @@ public interface FrameColColumnsSelectionDsl { * *      * - * [**frameCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.frameCol]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** + * [**`frameCol`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.frameCol]`[`**`<`**[`T`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[`index`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** * *      * @@ -83,9 +83,9 @@ public interface FrameColColumnsSelectionDsl { * *      * - * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * [`columnSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     **`.`**[**frameCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.frameCol]**`(`**[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** + *     __`.`__[**`frameCol`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.frameCol]**`(`**[`index`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** * *      * @@ -94,9 +94,9 @@ public interface FrameColColumnsSelectionDsl { * *      * - * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] + * [`columnGroup`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     **`.`**[**frameCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.frameCol]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** + *     __`.`__[**`frameCol`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.frameCol]`[`**`<`**[`T`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[`index`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** * * * @@ -113,13 +113,13 @@ public interface FrameColColumnsSelectionDsl { */ public interface Grammar { - /** [**frameCol**][ColumnsSelectionDsl.frameCol] */ + /** [**`frameCol`**][ColumnsSelectionDsl.frameCol] */ public interface PlainDslName - /** **`.`**[**frameCol**][ColumnsSelectionDsl.frameCol] */ + /** __`.`__[**`frameCol`**][ColumnsSelectionDsl.frameCol] */ public interface ColumnSetName - /** **`.`**[**frameCol**][ColumnsSelectionDsl.frameCol] */ + /** __`.`__[**`frameCol`**][ColumnsSelectionDsl.frameCol] */ public interface ColumnGroupName } @@ -144,9 +144,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][DataFrame.select]` { `[frameCol][frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][DataFrame.select]` { `[frameCol][frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][DataFrame.select]` { `[frameCol][frameCol]`(SomeType::frameColB) }` + * `df.`[select][DataFrame.select]` { `[frameCol][frameCol]`(SomeType::frameColB) }` * * `df.`[select][DataFrame.select]` { myColumnGroup.`[frameCol][frameCol]`(1) }` * @@ -222,9 +222,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -274,9 +274,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -327,9 +327,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -385,9 +385,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -438,9 +438,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -491,9 +491,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -544,9 +544,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -601,9 +601,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -654,9 +654,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -709,9 +709,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -763,9 +763,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -819,9 +819,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -879,9 +879,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -935,9 +935,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -990,9 +990,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -1046,9 +1046,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -1101,9 +1101,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -1157,9 +1157,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -1212,9 +1212,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -1268,9 +1268,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -1327,9 +1327,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -1380,9 +1380,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -1435,9 +1435,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -1489,9 +1489,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -1545,9 +1545,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -1605,9 +1605,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -1661,9 +1661,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -1716,9 +1716,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -1772,9 +1772,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -1827,9 +1827,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -1883,9 +1883,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -1938,9 +1938,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -1994,9 +1994,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -2053,9 +2053,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -2105,9 +2105,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -2160,9 +2160,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -2213,9 +2213,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -2268,9 +2268,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -2321,9 +2321,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -2376,9 +2376,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -2429,9 +2429,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -2484,9 +2484,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -2537,9 +2537,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -2592,9 +2592,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -2645,9 +2645,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -2700,9 +2700,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -2757,9 +2757,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -2811,9 +2811,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -2868,9 +2868,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -2923,9 +2923,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -2980,9 +2980,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -3036,9 +3036,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -3093,9 +3093,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -3153,9 +3153,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -3210,9 +3210,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -3266,9 +3266,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -3323,9 +3323,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -3379,9 +3379,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * @@ -3436,9 +3436,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(SomeType::frameColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[frameCol][org.jetbrains.kotlinx.dataframe.api.FrameColColumnsSelectionDsl.frameCol]`(1) }` * diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCols.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCols.kt index fcdafd3eb..d4b1e87e8 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCols.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCols.kt @@ -39,18 +39,18 @@ public interface FrameColsColumnsSelectionDsl { *      * * ### Definitions: - * `columnSet: `[ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` + * `columnSet: `[`ColumnSet`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` * *      * - * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] + * `columnGroup: `[`SingleColumn`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`String`][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<* | `[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `condition: `[ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] + * `condition: `[`ColumnFilter`][org.jetbrains.kotlinx.dataframe.ColumnFilter] * *      * @@ -59,7 +59,7 @@ public interface FrameColsColumnsSelectionDsl { * *      * - * [**frameCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + * [**`frameCols`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * *      * @@ -68,9 +68,9 @@ public interface FrameColsColumnsSelectionDsl { * *      * - * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * [`columnSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     **`.`**[**frameCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     __`.`__[**`frameCols`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * *      * @@ -79,9 +79,9 @@ public interface FrameColsColumnsSelectionDsl { * *      * - * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] + * [`columnGroup`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     **`.`**[**frameCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     __`.`__[**`frameCols`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colGroups]` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * * * @@ -98,13 +98,13 @@ public interface FrameColsColumnsSelectionDsl { */ public interface Grammar { - /** [**frameCols**][ColumnsSelectionDsl.colGroups] */ + /** [**`frameCols`**][ColumnsSelectionDsl.colGroups] */ public interface PlainDslName - /** **`.`**[**frameCols**][ColumnsSelectionDsl.colGroups] */ + /** __`.`__[**`frameCols`**][ColumnsSelectionDsl.colGroups] */ public interface ColumnSetName - /** **`.`**[**frameCols**][ColumnsSelectionDsl.colGroups] */ + /** __`.`__[**`frameCols`**][ColumnsSelectionDsl.colGroups] */ public interface ColumnGroupName } @@ -121,9 +121,9 @@ public interface FrameColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][DataFrame.select]` { `[frameCols][SingleColumn.frameCols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[frameCols][SingleColumn.frameCols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]`().`[frameCols][SingleColumn.frameCols]`() }` + * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]`().`[frameCols][SingleColumn.frameCols]`() }` * * `df.`[select][DataFrame.select]` { "myColGroup".`[frameCols][String.frameCols]`() }` * @@ -157,19 +157,19 @@ public interface FrameColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.frameCols]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.frameCols]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[frameCols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.frameCols]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[frameCols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.frameCols]`() }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[frameCols][kotlin.String.frameCols]`() }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") }.`[frameCols][ColumnSet.frameCols]`() }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") }.`[frameCols][ColumnSet.frameCols]`() }` * * `// NOTE: This can be shortened to just:` * - * `df.`[select][DataFrame.select]` { `[frameCols][ColumnsSelectionDsl.frameCols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[frameCols][ColumnsSelectionDsl.frameCols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * * @param [filter] An optional [predicate][org.jetbrains.kotlinx.dataframe.Predicate] to filter the frame columns by. * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] of [FrameColumns][org.jetbrains.kotlinx.dataframe.columns.FrameColumn]. @@ -194,17 +194,17 @@ public interface FrameColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.frameCols]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.frameCols]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[frameCols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.frameCols]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[frameCols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.frameCols]`() }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[frameCols][kotlin.String.frameCols]`() }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[frameCols][ColumnsSelectionDsl.frameCols]`() }` + * `df.`[select][DataFrame.select]` { `[frameCols][ColumnsSelectionDsl.frameCols]`() }` * - * `df.`[select][DataFrame.select]` { `[frameCols][ColumnsSelectionDsl.frameCols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[frameCols][ColumnsSelectionDsl.frameCols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * * @param [filter] An optional [predicate][org.jetbrains.kotlinx.dataframe.Predicate] to filter the frame columns by. * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] of [FrameColumns][org.jetbrains.kotlinx.dataframe.columns.FrameColumn]. @@ -229,9 +229,9 @@ public interface FrameColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.frameCols]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.frameCols]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[frameCols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.frameCols]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[frameCols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.frameCols]`() }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[frameCols][kotlin.String.frameCols]`() }` * @@ -264,9 +264,9 @@ public interface FrameColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.frameCols]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.frameCols]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[frameCols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.frameCols]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[frameCols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.frameCols]`() }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[frameCols][kotlin.String.frameCols]`() }` * @@ -299,15 +299,15 @@ public interface FrameColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.frameCols]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.frameCols]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[frameCols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.frameCols]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[frameCols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.frameCols]`() }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[frameCols][kotlin.String.frameCols]`() }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[colGroup][ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[frameCols][SingleColumn.frameCols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[colGroup][ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[frameCols][SingleColumn.frameCols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * * `df.`[select][DataFrame.select]` { Type::myColGroup.`[frameCols][SingleColumn.frameCols]`() }` * @@ -336,9 +336,9 @@ public interface FrameColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.frameCols]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[frameCols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.frameCols]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[frameCols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.frameCols]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[frameCols][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.frameCols]`() }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[frameCols][kotlin.String.frameCols]`() }` * diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/last.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/last.kt index 08f652f57..d3141d189 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/last.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/last.kt @@ -101,18 +101,18 @@ public interface LastColumnsSelectionDsl { *      * * ### Definitions: - * `columnSet: `[ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` + * `columnSet: `[`ColumnSet`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` * *      * - * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] + * `columnGroup: `[`SingleColumn`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`String`][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<* | `[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `condition: `[ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] + * `condition: `[`ColumnFilter`][org.jetbrains.kotlinx.dataframe.ColumnFilter] * *      * @@ -121,7 +121,7 @@ public interface LastColumnsSelectionDsl { * *      * - * [**last**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.last]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + * [**`last`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.last]` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * *      * @@ -130,9 +130,9 @@ public interface LastColumnsSelectionDsl { * *      * - * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * [`columnSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     **`.`**[**last**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.last]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     __`.`__[**`last`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.last]` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * *      * @@ -141,9 +141,9 @@ public interface LastColumnsSelectionDsl { * *      * - * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] + * [`columnGroup`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     **`.`**[**lastCol**][org.jetbrains.kotlinx.dataframe.api.LastColumnsSelectionDsl.lastCol]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     __`.`__[**`lastCol`**][org.jetbrains.kotlinx.dataframe.api.LastColumnsSelectionDsl.lastCol]` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * * * @@ -160,13 +160,13 @@ public interface LastColumnsSelectionDsl { */ public interface Grammar { - /** [**last**][ColumnsSelectionDsl.last] */ + /** [**`last`**][ColumnsSelectionDsl.last] */ public interface PlainDslName - /** **`.`**[**last**][ColumnsSelectionDsl.last] */ + /** __`.`__[**`last`**][ColumnsSelectionDsl.last] */ public interface ColumnSetName - /** **`.`**[**lastCol**][ColumnsSelectionDsl.lastCol] */ + /** __`.`__[**`lastCol`**][ColumnsSelectionDsl.lastCol] */ public interface ColumnGroupName } @@ -183,7 +183,7 @@ public interface LastColumnsSelectionDsl { * * #### Examples: * - * `df.`[select][DataFrame.select]` { `[last][ColumnsSelectionDsl.last]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` + * `df.`[select][DataFrame.select]` { `[last][ColumnsSelectionDsl.last]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * * `df.`[select][DataFrame.select]` { "myColumnGroup".`[lastCol][String.lastCol]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * @@ -216,15 +216,15 @@ public interface LastColumnsSelectionDsl { * * #### Examples: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[last][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.last]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[last][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.last]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[lastCol][kotlin.String.lastCol]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[last][ColumnSet.last]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[last][ColumnSet.last]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[last][ColumnSet.last]`() }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[last][ColumnSet.last]`() }` * * @param [condition] The optional [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] condition that the column must adhere to. * @return A [SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn] containing the last column @@ -251,13 +251,13 @@ public interface LastColumnsSelectionDsl { * * #### Examples: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[last][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.last]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[last][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.last]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[lastCol][kotlin.String.lastCol]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[last][ColumnsSelectionDsl.last]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` + * `df.`[select][DataFrame.select]` { `[last][ColumnsSelectionDsl.last]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` * * @param [condition] The optional [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] condition that the column must adhere to. * @return A [SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn] containing the last column @@ -281,7 +281,7 @@ public interface LastColumnsSelectionDsl { * * #### Examples: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[last][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.last]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[last][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.last]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[lastCol][kotlin.String.lastCol]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * @@ -311,7 +311,7 @@ public interface LastColumnsSelectionDsl { * * #### Examples: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[last][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.last]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[last][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.last]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[lastCol][kotlin.String.lastCol]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * @@ -341,7 +341,7 @@ public interface LastColumnsSelectionDsl { * * #### Examples: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[last][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.last]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[last][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.last]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[lastCol][kotlin.String.lastCol]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * @@ -373,7 +373,7 @@ public interface LastColumnsSelectionDsl { * * #### Examples: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[last][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.last]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[last][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.last]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[lastCol][kotlin.String.lastCol]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/none.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/none.kt index 8a68a6a87..77b0efa55 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/none.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/none.kt @@ -35,7 +35,7 @@ public interface NoneColumnsSelectionDsl { * *      * - * [**none**][org.jetbrains.kotlinx.dataframe.api.NoneColumnsSelectionDsl.none]**`()`** + * [**`none`**][org.jetbrains.kotlinx.dataframe.api.NoneColumnsSelectionDsl.none]**`()`** * * * @@ -54,7 +54,7 @@ public interface NoneColumnsSelectionDsl { */ public interface Grammar { - /** [**none**][ColumnsSelectionDsl.none] */ + /** [**`none`**][ColumnsSelectionDsl.none] */ public interface PlainDslName } @@ -69,7 +69,7 @@ public interface NoneColumnsSelectionDsl { * * #### For example: * - * `df.`[groupBy][DataFrame.groupBy]` { `[none][none]`() }` + * `df.`[groupBy][DataFrame.groupBy]` { `[`none`][none]`() }` * * @return An empty [ColumnsResolver]. */ diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/rename.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/rename.kt index 39ec811a8..949a8a39c 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/rename.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/rename.kt @@ -126,10 +126,10 @@ public interface RenameColumnsSelectionDsl { *      * * ### Definitions: - * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] + * `column: `[`ColumnAccessor`][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[`String`][String] * *             - * `| `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<*> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * @@ -138,11 +138,11 @@ public interface RenameColumnsSelectionDsl { * *      * - * [column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef] [**named**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.named]`/`[**into**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.into] [column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef] + * [`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` `[**named**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.named]`/`[**into**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.into]` `[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef] * - * `| `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`.`**[**named**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.named]**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`** + * `| `[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]__`.`__[**named**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.named]**`(`**[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`** * - * `| `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`.`**[**into**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.into]**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`** + * `| `[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]__`.`__[**into**][org.jetbrains.kotlinx.dataframe.api.RenameColumnsSelectionDsl.into]**`(`**[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]**`)`** * * * @@ -168,10 +168,10 @@ public interface RenameColumnsSelectionDsl { /** [**into**][ColumnsSelectionDsl.into] */ public interface InfixIntoName - /** **`.`**[**named**][ColumnsSelectionDsl.named] */ + /** __`.`__[**named**][ColumnsSelectionDsl.named] */ public interface NamedName - /** **`.`**[**into**][ColumnsSelectionDsl.into] */ + /** __`.`__[**into**][ColumnsSelectionDsl.into] */ public interface IntoName } @@ -186,15 +186,15 @@ public interface RenameColumnsSelectionDsl { * * #### For Example: * - * `df.`[select][DataFrame.select]` { name `[named][ColumnReference.named]` "Full Name" }` + * `df.`[select][DataFrame.select]` { name `[named][ColumnReference.named]` "Full Name" }` * - * `df.`[select][DataFrame.select]` { `[expr][expr]` { 0 } `[into][ColumnReference.into]` "zeroes" }` + * `df.`[select][DataFrame.select]` { `[expr][expr]` { 0 } `[into][ColumnReference.into]` "zeroes" }` * - * `df.`[select][DataFrame.select]` { "colA" `[named][String.named]` Type::colB }` + * `df.`[select][DataFrame.select]` { "colA" `[named][String.named]` Type::colB }` * * #### Example for this overload: * - * `df.`[select][DataFrame.select]` { `[][.]` }` + * `df.`[select][DataFrame.select]` { `[][.]` }` * * @receiver The [] referencing the column to rename. * @param [] A [] used to specify the new name of the column. @@ -257,15 +257,15 @@ public interface RenameColumnsSelectionDsl { * * #### For Example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { columnA `[named][ColumnReference.named]` "columnB" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { columnA `[named][ColumnReference.named]` "columnB" }` * * @receiver The [ColumnReference] referencing the column to rename. * @param [newName] A [String] used to specify the new name of the column. @@ -284,15 +284,15 @@ public interface RenameColumnsSelectionDsl { * * #### For Example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { columnA `[named][ColumnReference.named]` columnB }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { columnA `[named][ColumnReference.named]` columnB }` * * @receiver The [ColumnReference] referencing the column to rename. * @param [nameOf] A [ColumnReference] used to specify the new name of the column. @@ -312,15 +312,15 @@ public interface RenameColumnsSelectionDsl { * * #### For Example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { columnA `[named][ColumnReference.named]` Type::columnB }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { columnA `[named][ColumnReference.named]` Type::columnB }` * * @receiver The [ColumnReference] referencing the column to rename. * @param [nameOf] A [KProperty] used to specify the new name of the column. @@ -340,15 +340,15 @@ public interface RenameColumnsSelectionDsl { * * #### For Example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnA" `[named][String.named]` "columnB" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnA" `[named][String.named]` "columnB" }` * * @receiver The [String] referencing the column to rename. * @param [newName] A [String] used to specify the new name of the column. @@ -367,15 +367,15 @@ public interface RenameColumnsSelectionDsl { * * #### For Example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnA" `[named][String.named]` columnB }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnA" `[named][String.named]` columnB }` * * @receiver The [String] referencing the column to rename. * @param [nameOf] A [ColumnReference] used to specify the new name of the column. @@ -395,15 +395,15 @@ public interface RenameColumnsSelectionDsl { * * #### For Example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnA" `[named][String.named]` Type::columnB }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnA" `[named][String.named]` Type::columnB }` * * @receiver The [String] referencing the column to rename. * @param [nameOf] A [KProperty] used to specify the new name of the column. @@ -423,15 +423,15 @@ public interface RenameColumnsSelectionDsl { * * #### For Example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::columnA `[named][KProperty.named]` "columnB" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::columnA `[named][KProperty.named]` "columnB" }` * * @receiver The [KProperty] referencing the column to rename. * @param [newName] A [String] used to specify the new name of the column. @@ -450,15 +450,15 @@ public interface RenameColumnsSelectionDsl { * * #### For Example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::columnA `[named][KProperty.named]` columnB }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::columnA `[named][KProperty.named]` columnB }` * * @receiver The [KProperty] referencing the column to rename. * @param [nameOf] A [ColumnReference] used to specify the new name of the column. @@ -478,15 +478,15 @@ public interface RenameColumnsSelectionDsl { * * #### For Example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::columnA `[named][KProperty.named]` Type::columnB }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::columnA `[named][KProperty.named]` Type::columnB }` * * @receiver The [KProperty] referencing the column to rename. * @param [nameOf] A [KProperty] used to specify the new name of the column. @@ -510,15 +510,15 @@ public interface RenameColumnsSelectionDsl { * * #### For Example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { columnA `[into][ColumnReference.into]` "columnB" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { columnA `[into][ColumnReference.into]` "columnB" }` * * @receiver The [ColumnReference] referencing the column to rename. * @param [newName] A [String] used to specify the new name of the column. @@ -537,15 +537,15 @@ public interface RenameColumnsSelectionDsl { * * #### For Example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { columnA `[into][ColumnReference.into]` columnB }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { columnA `[into][ColumnReference.into]` columnB }` * * @receiver The [ColumnReference] referencing the column to rename. * @param [nameOf] A [ColumnReference] used to specify the new name of the column. @@ -564,15 +564,15 @@ public interface RenameColumnsSelectionDsl { * * #### For Example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { columnA `[into][ColumnReference.into]` Type::columnB }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { columnA `[into][ColumnReference.into]` Type::columnB }` * * @receiver The [ColumnReference] referencing the column to rename. * @param [nameOf] A [KProperty] used to specify the new name of the column. @@ -591,15 +591,15 @@ public interface RenameColumnsSelectionDsl { * * #### For Example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnA" `[into][String.into]` "columnB" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnA" `[into][String.into]` "columnB" }` * * @receiver The [String] referencing the column to rename. * @param [newName] A [String] used to specify the new name of the column. @@ -618,15 +618,15 @@ public interface RenameColumnsSelectionDsl { * * #### For Example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnA" `[into][String.into]` columnB }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnA" `[into][String.into]` columnB }` * * @receiver The [String] referencing the column to rename. * @param [nameOf] A [ColumnReference] used to specify the new name of the column. @@ -645,15 +645,15 @@ public interface RenameColumnsSelectionDsl { * * #### For Example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnA" `[into][String.into]` Type::columnB }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "columnA" `[into][String.into]` Type::columnB }` * * @receiver The [String] referencing the column to rename. * @param [nameOf] A [KProperty] used to specify the new name of the column. @@ -672,15 +672,15 @@ public interface RenameColumnsSelectionDsl { * * #### For Example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::columnA `[into][KProperty.into]` "columnB" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::columnA `[into][KProperty.into]` "columnB" }` * * @receiver The [KProperty] referencing the column to rename. * @param [newName] A [String] used to specify the new name of the column. @@ -699,15 +699,15 @@ public interface RenameColumnsSelectionDsl { * * #### For Example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::columnA `[into][KProperty.into]` columnB }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::columnA `[into][KProperty.into]` columnB }` * * @receiver The [KProperty] referencing the column to rename. * @param [nameOf] A [ColumnReference] used to specify the new name of the column. @@ -726,15 +726,15 @@ public interface RenameColumnsSelectionDsl { * * #### For Example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { name `[named][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.named]` "Full Name" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[expr][org.jetbrains.kotlinx.dataframe.api.expr]` { 0 } `[into][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.into]` "zeroes" }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "colA" `[named][kotlin.String.named]` Type::colB }` * * #### Example for this overload: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::columnA `[into][KProperty.into]` Type::columnB }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::columnA `[into][KProperty.into]` Type::columnB }` * * @receiver The [KProperty] referencing the column to rename. * @param [nameOf] A [KProperty] used to specify the new name of the column. diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/select.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/select.kt index a2221ab8b..9e112c1eb 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/select.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/select.kt @@ -255,18 +255,18 @@ public interface SelectColumnsSelectionDsl { *      * * ### Definitions: - * `columnSet: `[ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` + * `columnSet: `[`ColumnSet`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` * *      * - * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] + * `columnGroup: `[`SingleColumn`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`String`][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<* | `[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `colsSelector: `[ColumnsSelector][org.jetbrains.kotlinx.dataframe.ColumnsSelector] + * `colsSelector: `[`ColumnsSelector`][org.jetbrains.kotlinx.dataframe.ColumnsSelector] * * * @@ -279,11 +279,11 @@ public interface SelectColumnsSelectionDsl { * *      * - * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] + * [`columnGroup`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     **`.`**[**select**][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]**` {`** [colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef] **`}`** + *     __`.`__[**`select`**][org.jetbrains.kotlinx.dataframe.api.SelectColumnsSelectionDsl.select]**` { `**[`colsSelector`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]**` }`** * - *     `|`[**` {`**][ColumnsSelectionDsl.select] [colsSelector][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef] [**`}`**][ColumnsSelectionDsl.select] + *     `| `[**`{`**][ColumnsSelectionDsl.select]` `[`colsSelector`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnsSelectorDef]` `[**`}`**][ColumnsSelectionDsl.select] * * * @@ -299,7 +299,7 @@ public interface SelectColumnsSelectionDsl { */ public interface Grammar { - /** **`.`**[**select**][ColumnsSelectionDsl.select] */ + /** __`.`__[**`select`**][ColumnsSelectionDsl.select] */ public interface ColumnGroupName } @@ -319,13 +319,13 @@ public interface SelectColumnsSelectionDsl { * * #### For example: * - * `df.`[select][DataFrame.select]` { myColGroup.`[select][SingleColumn.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][DataFrame.select]` { myColGroup.`[select][SingleColumn.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` * - * `df.`[select][DataFrame.select]` { "myGroupCol" `[{][String.select]` "colA" and `[expr][ColumnsSelectionDsl.expr]` { 0 } `[}][String.select]` }` + * `df.`[select][DataFrame.select]` { "myGroupCol" `[{][String.select]` "colA" and `[expr][ColumnsSelectionDsl.expr]` { 0 } `[}][String.select]` }` * * `df.`[select][DataFrame.select]` { "pathTo"["myGroupCol"].`[select][ColumnPath.select]` { "colA" and "colB" } }` * - * `df.`[select][DataFrame.select]` { it["myGroupCol"].`[asColumnGroup][DataColumn.asColumnGroup]`()`[() {][SingleColumn.select]` "colA" and "colB" `[}][SingleColumn.select]` }` + * `df.`[select][DataFrame.select]` { it["myGroupCol"].`[asColumnGroup][DataColumn.asColumnGroup]`()`[() {][SingleColumn.select]` "colA" and "colB" `[}][SingleColumn.select]` }` * * #### Examples for this overload: * @@ -364,19 +364,19 @@ public interface SelectColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` { someCol `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` `[colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` { someCol `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` `[colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol" `[{][kotlin.String.select]` "colA" and `[expr][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.expr]` { 0 } `[}][kotlin.String.select]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol" `[{][kotlin.String.select]` "colA" and `[expr][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.expr]` { 0 } `[}][kotlin.String.select]` }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myGroupCol"].`[select][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.select]` { "colA" and "colB" } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { it["myGroupCol"].`[asColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.asColumnGroup]`()`[() {][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` "colA" and "colB" `[}][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { it["myGroupCol"].`[asColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.asColumnGroup]`()`[() {][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` "colA" and "colB" `[}][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { myColGroup.`[select][SingleColumn.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][DataFrame.select]` { myColGroup.`[select][SingleColumn.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` * - * `df.`[select][DataFrame.select]` { myColGroup `[{][SingleColumn.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[}][SingleColumn.select]` }` + * `df.`[select][DataFrame.select]` { myColGroup `[`{`][SingleColumn.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[`}`][SingleColumn.select]` }` * * *      @@ -409,19 +409,19 @@ public interface SelectColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` { someCol `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` `[colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` { someCol `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` `[colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol" `[{][kotlin.String.select]` "colA" and `[expr][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.expr]` { 0 } `[}][kotlin.String.select]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol" `[{][kotlin.String.select]` "colA" and `[expr][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.expr]` { 0 } `[}][kotlin.String.select]` }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myGroupCol"].`[select][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.select]` { "colA" and "colB" } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { it["myGroupCol"].`[asColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.asColumnGroup]`()`[() {][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` "colA" and "colB" `[}][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { it["myGroupCol"].`[asColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.asColumnGroup]`()`[() {][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` "colA" and "colB" `[}][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { Type::myColGroup.`[select][KProperty.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][DataFrame.select]` { Type::myColGroup.`[select][KProperty.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` * - * `df.`[select][DataFrame.select]` { DataSchemaType::myColGroup `[`{`][KProperty.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[`}`][KProperty.select]` }` + * `df.`[select][DataFrame.select]` { DataSchemaType::myColGroup `[`{`][KProperty.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[`}`][KProperty.select]` }` * * *      @@ -457,19 +457,19 @@ public interface SelectColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` { someCol `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` `[colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` { someCol `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` `[colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol" `[{][kotlin.String.select]` "colA" and `[expr][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.expr]` { 0 } `[}][kotlin.String.select]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol" `[{][kotlin.String.select]` "colA" and `[expr][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.expr]` { 0 } `[}][kotlin.String.select]` }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myGroupCol"].`[select][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.select]` { "colA" and "colB" } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { it["myGroupCol"].`[asColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.asColumnGroup]`()`[() {][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` "colA" and "colB" `[}][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { it["myGroupCol"].`[asColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.asColumnGroup]`()`[() {][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` "colA" and "colB" `[}][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { Type::myColGroup.`[select][KProperty.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][DataFrame.select]` { Type::myColGroup.`[select][KProperty.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` * - * `df.`[select][DataFrame.select]` { DataSchemaType::myColGroup `[`{`][KProperty.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[`}`][KProperty.select]` }` + * `df.`[select][DataFrame.select]` { DataSchemaType::myColGroup `[`{`][KProperty.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[`}`][KProperty.select]` }` * * ## NOTE: * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you @@ -509,19 +509,19 @@ public interface SelectColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` { someCol `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` `[colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` { someCol `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` `[colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol" `[{][kotlin.String.select]` "colA" and `[expr][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.expr]` { 0 } `[}][kotlin.String.select]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol" `[{][kotlin.String.select]` "colA" and `[expr][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.expr]` { 0 } `[}][kotlin.String.select]` }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myGroupCol"].`[select][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.select]` { "colA" and "colB" } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { it["myGroupCol"].`[asColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.asColumnGroup]`()`[() {][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` "colA" and "colB" `[}][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { it["myGroupCol"].`[asColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.asColumnGroup]`()`[() {][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` "colA" and "colB" `[}][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { "myColGroup".`[select][String.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][DataFrame.select]` { "myColGroup".`[select][String.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` * - * `df.`[select][DataFrame.select]` { "myColGroup" `[{][String.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[}][String.select]` }` + * `df.`[select][DataFrame.select]` { "myColGroup" `[`{`][String.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[`}`][String.select]` }` * * *      @@ -554,23 +554,23 @@ public interface SelectColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` { someCol `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` `[colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColGroup.`[select][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` { someCol `[and][org.jetbrains.kotlinx.dataframe.api.AndColumnsSelectionDsl.and]` `[colsOf][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsOf]`<`[String][String]`>() } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol" `[{][kotlin.String.select]` "colA" and `[expr][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.expr]` { 0 } `[}][kotlin.String.select]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myGroupCol" `[{][kotlin.String.select]` "colA" and `[expr][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.expr]` { 0 } `[}][kotlin.String.select]` }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "pathTo"["myGroupCol"].`[select][org.jetbrains.kotlinx.dataframe.columns.ColumnPath.select]` { "colA" and "colB" } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { it["myGroupCol"].`[asColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.asColumnGroup]`()`[() {][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` "colA" and "colB" `[}][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { it["myGroupCol"].`[asColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.asColumnGroup]`()`[() {][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` "colA" and "colB" `[}][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.select]` }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { "pathTo"["myColGroup"].`[select][ColumnPath.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][DataFrame.select]` { "pathTo"["myColGroup"].`[select][ColumnPath.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` * - * `df.`[select][DataFrame.select]` { "pathTo"["myColGroup"] `[{][ColumnPath.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[}][ColumnPath.select]` }` + * `df.`[select][DataFrame.select]` { "pathTo"["myColGroup"] `[`{`][ColumnPath.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[`}`][ColumnPath.select]` }` * - * `df.`[select][DataFrame.select]` { `[pathOf][pathOf]`("pathTo", "myColGroup").`[select][ColumnPath.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][DataFrame.select]` { `[pathOf][pathOf]`("pathTo", "myColGroup").`[select][ColumnPath.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` * - * `df.`[select][DataFrame.select]` { `[pathOf][pathOf]`("pathTo", "myColGroup")`[() {][ColumnPath.select]` someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() `[}][ColumnPath.select]` }` + * `df.`[select][DataFrame.select]` { `[pathOf][pathOf]`("pathTo", "myColGroup")`[`() {`][ColumnPath.select]` someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() `[`}`][ColumnPath.select]` }` * * *      diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/simplify.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/simplify.kt index e487c37fe..b1713809a 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/simplify.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/simplify.kt @@ -32,7 +32,7 @@ public interface SimplifyColumnsSelectionDsl { *      * * ### Definitions: - * `columnSet: `[ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` + * `columnSet: `[`ColumnSet`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` * * * @@ -43,9 +43,9 @@ public interface SimplifyColumnsSelectionDsl { * *      * - * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * [`columnSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     **`.`**[**simplify**][org.jetbrains.kotlinx.dataframe.api.SimplifyColumnsSelectionDsl.simplify]**`()`** + *     __`.`__[**`simplify`**][org.jetbrains.kotlinx.dataframe.api.SimplifyColumnsSelectionDsl.simplify]**`()`** * * * @@ -63,7 +63,7 @@ public interface SimplifyColumnsSelectionDsl { */ public interface Grammar { - /** **`.`**[**simplify**][ColumnsSelectionDsl.simplify] */ + /** __`.`__[**`simplify`**][ColumnsSelectionDsl.simplify] */ public interface ColumnSetName } @@ -84,7 +84,7 @@ public interface SimplifyColumnsSelectionDsl { * *      * - * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { "e" `[in][String.contains]` it.`[name][DataColumn.name]` }.`[simplify][ColumnSet.simplify]`() }` + * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { "e" `[in][String.contains]` it.`[name][DataColumn.name]` }.`[simplify][ColumnSet.simplify]`() }` * * @return A [ColumnSet][ColumnSet]`<`[C][C]`>` containing only the columns that are not inside any column group in [this]. */ diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/single.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/single.kt index 6b5926424..dfa1cbad3 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/single.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/single.kt @@ -71,18 +71,18 @@ public interface SingleColumnsSelectionDsl { *      * * ### Definitions: - * `columnSet: `[ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` + * `columnSet: `[`ColumnSet`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` * *      * - * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] + * `columnGroup: `[`SingleColumn`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`String`][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<* | `[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `condition: `[ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] + * `condition: `[`ColumnFilter`][org.jetbrains.kotlinx.dataframe.ColumnFilter] * *      * @@ -91,7 +91,7 @@ public interface SingleColumnsSelectionDsl { * *      * - * [**single**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.single]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + * [**`single`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.single]` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * *      * @@ -100,9 +100,9 @@ public interface SingleColumnsSelectionDsl { * *      * - * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * [`columnSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     **`.`**[**single**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.single]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     __`.`__[**`single`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.single]` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * *      * @@ -111,9 +111,9 @@ public interface SingleColumnsSelectionDsl { * *      * - * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] + * [`columnGroup`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     **`.`**[**singleCol**][org.jetbrains.kotlinx.dataframe.api.SingleColumnsSelectionDsl.singleCol]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     __`.`__[**`singleCol`**][org.jetbrains.kotlinx.dataframe.api.SingleColumnsSelectionDsl.singleCol]` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * * * @@ -130,13 +130,13 @@ public interface SingleColumnsSelectionDsl { */ public interface Grammar { - /** [**single**][ColumnsSelectionDsl.single] */ + /** [**`single`**][ColumnsSelectionDsl.single] */ public interface PlainDslName - /** **`.`**[**single**][ColumnsSelectionDsl.single] */ + /** __`.`__[**`single`**][ColumnsSelectionDsl.single] */ public interface ColumnSetName - /** **`.`**[**singleCol**][ColumnsSelectionDsl.singleCol] */ + /** __`.`__[**`singleCol`**][ColumnsSelectionDsl.singleCol] */ public interface ColumnGroupName } @@ -154,7 +154,7 @@ public interface SingleColumnsSelectionDsl { * * #### Examples: * - * `df.`[select][DataFrame.select]` { `[single][ColumnsSelectionDsl.single]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` + * `df.`[select][DataFrame.select]` { `[single][ColumnsSelectionDsl.single]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * * `df.`[select][DataFrame.select]` { "myColumnGroup".`[singleCol][String.singleCol]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * @@ -187,15 +187,15 @@ public interface SingleColumnsSelectionDsl { * * #### Examples: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[single][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.single]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[single][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.single]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[singleCol][kotlin.String.singleCol]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[single][ColumnSet.single]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[single][ColumnSet.single]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[single][ColumnSet.single]`() }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[single][ColumnSet.single]`() }` * * @param [condition] The optional [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] condition that the column must adhere to. * @return A [SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn] containing the single column that adheres to the given [condition]. @@ -219,13 +219,13 @@ public interface SingleColumnsSelectionDsl { * * #### Examples: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[single][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.single]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[single][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.single]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[singleCol][kotlin.String.singleCol]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[single][ColumnsSelectionDsl.single]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` + * `df.`[select][DataFrame.select]` { `[single][ColumnsSelectionDsl.single]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` * * @param [condition] The optional [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] condition that the column must adhere to. * @return A [SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn] containing the single column that adheres to the given [condition]. @@ -249,7 +249,7 @@ public interface SingleColumnsSelectionDsl { * * #### Examples: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[single][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.single]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[single][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.single]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[singleCol][kotlin.String.singleCol]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * @@ -279,7 +279,7 @@ public interface SingleColumnsSelectionDsl { * * #### Examples: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[single][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.single]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[single][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.single]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[singleCol][kotlin.String.singleCol]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * @@ -309,7 +309,7 @@ public interface SingleColumnsSelectionDsl { * * #### Examples: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[single][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.single]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[single][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.single]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[singleCol][kotlin.String.singleCol]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * @@ -341,7 +341,7 @@ public interface SingleColumnsSelectionDsl { * * #### Examples: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[single][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.single]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[single][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.single]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[singleCol][kotlin.String.singleCol]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/take.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/take.kt index 693ac329a..66c95277f 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/take.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/take.kt @@ -80,22 +80,22 @@ public interface TakeColumnsSelectionDsl { *      * * ### Definitions: - * `columnSet: `[ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` + * `columnSet: `[`ColumnSet`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` * *      * - * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] + * `columnGroup: `[`SingleColumn`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`String`][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<* | `[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `condition: `[ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] + * `condition: `[`ColumnFilter`][org.jetbrains.kotlinx.dataframe.ColumnFilter] * *      * - * `number: `[Int][Int] + * `number: `[`Int`][Int] * *      * @@ -104,9 +104,9 @@ public interface TakeColumnsSelectionDsl { * *      * - * [**take**][ColumnsSelectionDsl.take]`(`[**Last**][ColumnsSelectionDsl.takeLast]`)`**`(`**[number][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** + * [**`take`**][ColumnsSelectionDsl.take]`(`[**`Last`**][ColumnsSelectionDsl.takeLast]`)`**`(`**[`number`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** * - * `|` [**take**][ColumnsSelectionDsl.takeWhile]`(`[**Last**][ColumnsSelectionDsl.takeLastWhile]`)`[**While**][ColumnsSelectionDsl.takeWhile]**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** + * `| `[**`take`**][ColumnsSelectionDsl.takeWhile]`(`[**`Last`**][ColumnsSelectionDsl.takeLastWhile]`)`[**`While`**][ColumnsSelectionDsl.takeWhile]**` { `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** * *      * @@ -115,11 +115,11 @@ public interface TakeColumnsSelectionDsl { * *      * - * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * [`columnSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     .[**take**][ColumnsSelectionDsl.take]`(`[**Last**][ColumnSet.takeLast]`)`**`(`**[number][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** + *     __`.`__[**`take`**][ColumnsSelectionDsl.take]`(`[**`Last`**][ColumnSet.takeLast]`)`**`(`**[`number`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** * - *     `|` .[**take**][ColumnsSelectionDsl.takeWhile]`(`[**Last**][ColumnsSelectionDsl.takeLastWhile]`)`[**While**][ColumnsSelectionDsl.takeWhile]**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** + *     `| `__`.`__[**`take`**][ColumnsSelectionDsl.takeWhile]`(`[**`Last`**][ColumnsSelectionDsl.takeLastWhile]`)`[**`While`**][ColumnsSelectionDsl.takeWhile]**` { `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** * *      * @@ -128,11 +128,11 @@ public interface TakeColumnsSelectionDsl { * *      * - * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] + * [`columnGroup`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     .[**take**][ColumnsSelectionDsl.takeCols]`(`[**Last**][ColumnsSelectionDsl.takeLastCols]`)`[**Cols**][ColumnsSelectionDsl.takeCols]**`(`**[number][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** + *     __`.`__[**`take`**][ColumnsSelectionDsl.takeCols]`(`[**`Last`**][ColumnsSelectionDsl.takeLastCols]`)`[**`Cols`**][ColumnsSelectionDsl.takeCols]**`(`**[`number`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]**`)`** * - *     `|` .[**take**][ColumnsSelectionDsl.takeColsWhile]`(`[**Last**][ColumnsSelectionDsl.takeLastColsWhile]`)`[**ColsWhile**][ColumnsSelectionDsl.takeColsWhile]**` { `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** + *     `| `__`.`__[**`take`**][ColumnsSelectionDsl.takeColsWhile]`(`[**`Last`**][ColumnsSelectionDsl.takeLastColsWhile]`)`[**`ColsWhile`**][ColumnsSelectionDsl.takeColsWhile]**` { `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** * * * @@ -149,22 +149,22 @@ public interface TakeColumnsSelectionDsl { */ public interface Grammar { - /** [**take**][ColumnsSelectionDsl.take]`(`[**Last**][ColumnsSelectionDsl.takeLast]`)` */ + /** [**`take`**][ColumnsSelectionDsl.take]`(`[**`Last`**][ColumnsSelectionDsl.takeLast]`)` */ public interface PlainDslName - /** **`.`**[**take**][ColumnsSelectionDsl.take]`(`[**Last**][ColumnSet.takeLast]`)` */ + /** __`.`__[**`take`**][ColumnsSelectionDsl.take]`(`[**`Last`**][ColumnSet.takeLast]`)` */ public interface ColumnSetName - /** **`.`**[**take**][ColumnsSelectionDsl.takeCols]`(`[**Last**][ColumnsSelectionDsl.takeLastCols]`)`[**Cols**][ColumnsSelectionDsl.takeCols] */ + /** __`.`__[**`take`**][ColumnsSelectionDsl.takeCols]`(`[**`Last`**][ColumnsSelectionDsl.takeLastCols]`)`[**`Cols`**][ColumnsSelectionDsl.takeCols] */ public interface ColumnGroupName - /** [**take**][ColumnsSelectionDsl.takeWhile]`(`[**Last**][ColumnsSelectionDsl.takeLastWhile]`)`[**While**][ColumnsSelectionDsl.takeWhile] */ + /** [**`take`**][ColumnsSelectionDsl.takeWhile]`(`[**`Last`**][ColumnsSelectionDsl.takeLastWhile]`)`[**`While`**][ColumnsSelectionDsl.takeWhile] */ public interface PlainDslWhileName - /** **`.`**[**take**][ColumnsSelectionDsl.takeWhile]`(`[**Last**][ColumnsSelectionDsl.takeLastWhile]`)`[**While**][ColumnsSelectionDsl.takeWhile] */ + /** __`.`__[**`take`**][ColumnsSelectionDsl.takeWhile]`(`[**`Last`**][ColumnsSelectionDsl.takeLastWhile]`)`[**`While`**][ColumnsSelectionDsl.takeWhile] */ public interface ColumnSetWhileName - /** **`.`**[**take**][ColumnsSelectionDsl.takeColsWhile]`(`[**Last**][ColumnsSelectionDsl.takeLastColsWhile]`)`[**ColsWhile**][ColumnsSelectionDsl.takeColsWhile] */ + /** __`.`__[**`take`**][ColumnsSelectionDsl.takeColsWhile]`(`[**`Last`**][ColumnsSelectionDsl.takeLastColsWhile]`)`[**`ColsWhile`**][ColumnsSelectionDsl.takeColsWhile] */ public interface ColumnGroupWhileName } @@ -227,9 +227,9 @@ public interface TakeColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[take][ColumnSet.take]`(2) }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[take][ColumnSet.take]`(2) }` * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[take][ColumnSet.take]`(2) }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[take][ColumnSet.take]`(2) }` * * @param [n] The number of columns to take. * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing the first [n] columns. @@ -261,7 +261,7 @@ public interface TakeColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[take][ColumnsSelectionDsl.take]`(5) }` + * `df.`[select][DataFrame.select]` { `[take][ColumnsSelectionDsl.take]`(5) }` * * @param [n] The number of columns to take. * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing the first [n] columns. @@ -461,9 +461,9 @@ public interface TakeColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[takeLast][ColumnSet.takeLast]`(2) }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[takeLast][ColumnSet.takeLast]`(2) }` * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[takeLast][ColumnSet.takeLast]`(2) }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[takeLast][ColumnSet.takeLast]`(2) }` * * @param [n] The number of columns to take. * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing the last [n] columns. @@ -495,7 +495,7 @@ public interface TakeColumnsSelectionDsl { * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[takeLast][ColumnsSelectionDsl.takeLast]`(5) }` + * `df.`[select][DataFrame.select]` { `[takeLast][ColumnsSelectionDsl.takeLast]`(5) }` * * @param [n] The number of columns to take. * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing the last [n] columns. @@ -654,11 +654,11 @@ public interface TakeColumnsSelectionDsl { * ### Check out: [Usage] * * #### Examples: - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[takeWhile][ColumnSet.takeWhile]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[`takeWhile`][ColumnSet.takeWhile]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[takeWhile][SingleColumn.takeColsWhile]` { it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`takeWhile`][SingleColumn.takeColsWhile]` { it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[takeColsWhile][String.takeColsWhile]` { it.`[kind][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[ColumnKind.Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`takeColsWhile`][String.takeColsWhile]` { it.`[`kind`][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[`ColumnKind.Value`][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` * * #### Examples for this overload: * @@ -685,17 +685,17 @@ public interface TakeColumnsSelectionDsl { * ### Check out: [Usage] * * #### Examples: - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[takeWhile][ColumnSet.takeWhile]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[`takeWhile`][ColumnSet.takeWhile]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[takeWhile][SingleColumn.takeColsWhile]` { it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`takeWhile`][SingleColumn.takeColsWhile]` { it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[takeColsWhile][String.takeColsWhile]` { it.`[kind][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[ColumnKind.Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`takeColsWhile`][String.takeColsWhile]` { it.`[`kind`][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[`ColumnKind.Value`][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[takeWhile][ColumnSet.takeWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[takeWhile][ColumnSet.takeWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[takeWhile][ColumnSet.takeWhile]` { it.`[name][ColumnWithPath.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[takeWhile][ColumnSet.takeWhile]` { it.`[name][ColumnWithPath.name]`.`[startsWith][String.startsWith]`("my") } }` * * @param [predicate] The [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] to control which columns to take. * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing the first columns adhering to the [predicate]. @@ -719,15 +719,15 @@ public interface TakeColumnsSelectionDsl { * ### Check out: [Usage] * * #### Examples: - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[takeWhile][ColumnSet.takeWhile]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[`takeWhile`][ColumnSet.takeWhile]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[takeWhile][SingleColumn.takeColsWhile]` { it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`takeWhile`][SingleColumn.takeColsWhile]` { it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[takeColsWhile][String.takeColsWhile]` { it.`[kind][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[ColumnKind.Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`takeColsWhile`][String.takeColsWhile]` { it.`[`kind`][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[`ColumnKind.Value`][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[takeWhile][ColumnsSelectionDsl.takeWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` + * `df.`[select][DataFrame.select]` { `[takeWhile][ColumnsSelectionDsl.takeWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` * * @param [predicate] The [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] to control which columns to take. * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing the first columns adhering to the [predicate]. @@ -751,11 +751,11 @@ public interface TakeColumnsSelectionDsl { * ### Check out: [Usage] * * #### Examples: - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[takeWhile][ColumnSet.takeWhile]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[`takeWhile`][ColumnSet.takeWhile]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[takeWhile][SingleColumn.takeColsWhile]` { it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`takeWhile`][SingleColumn.takeColsWhile]` { it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[takeColsWhile][String.takeColsWhile]` { it.`[kind][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[ColumnKind.Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`takeColsWhile`][String.takeColsWhile]` { it.`[`kind`][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[`ColumnKind.Value`][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` * * #### Examples for this overload: * @@ -783,11 +783,11 @@ public interface TakeColumnsSelectionDsl { * ### Check out: [Usage] * * #### Examples: - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[takeWhile][ColumnSet.takeWhile]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[`takeWhile`][ColumnSet.takeWhile]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[takeWhile][SingleColumn.takeColsWhile]` { it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`takeWhile`][SingleColumn.takeColsWhile]` { it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[takeColsWhile][String.takeColsWhile]` { it.`[kind][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[ColumnKind.Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`takeColsWhile`][String.takeColsWhile]` { it.`[`kind`][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[`ColumnKind.Value`][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` * * #### Examples for this overload: * @@ -815,11 +815,11 @@ public interface TakeColumnsSelectionDsl { * ### Check out: [Usage] * * #### Examples: - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[takeWhile][ColumnSet.takeWhile]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[`takeWhile`][ColumnSet.takeWhile]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[takeWhile][SingleColumn.takeColsWhile]` { it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`takeWhile`][SingleColumn.takeColsWhile]` { it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[takeColsWhile][String.takeColsWhile]` { it.`[kind][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[ColumnKind.Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`takeColsWhile`][String.takeColsWhile]` { it.`[`kind`][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[`ColumnKind.Value`][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` * * #### Examples for this overload: * @@ -849,11 +849,11 @@ public interface TakeColumnsSelectionDsl { * ### Check out: [Usage] * * #### Examples: - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[takeWhile][ColumnSet.takeWhile]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[`takeWhile`][ColumnSet.takeWhile]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[takeWhile][SingleColumn.takeColsWhile]` { it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`takeWhile`][SingleColumn.takeColsWhile]` { it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[takeColsWhile][String.takeColsWhile]` { it.`[kind][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[ColumnKind.Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`takeColsWhile`][String.takeColsWhile]` { it.`[`kind`][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[`ColumnKind.Value`][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` * * #### Examples for this overload: * @@ -885,11 +885,11 @@ public interface TakeColumnsSelectionDsl { * ### Check out: [Usage] * * #### Examples: - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[takeLastWhile][ColumnSet.takeLastWhile]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[`takeLastWhile`][ColumnSet.takeLastWhile]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[takeLastWhile][SingleColumn.takeLastColsWhile]` { it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`takeLastWhile`][SingleColumn.takeLastColsWhile]` { it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[takeLastColsWhile][String.takeLastColsWhile]` { it.`[kind][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[ColumnKind.Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`takeLastColsWhile`][String.takeLastColsWhile]` { it.`[`kind`][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[`ColumnKind.Value`][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` * * #### Examples for this overload: * @@ -916,17 +916,17 @@ public interface TakeColumnsSelectionDsl { * ### Check out: [Usage] * * #### Examples: - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[takeLastWhile][ColumnSet.takeLastWhile]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[`takeLastWhile`][ColumnSet.takeLastWhile]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[takeLastWhile][SingleColumn.takeLastColsWhile]` { it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`takeLastWhile`][SingleColumn.takeLastColsWhile]` { it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[takeLastColsWhile][String.takeLastColsWhile]` { it.`[kind][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[ColumnKind.Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`takeLastColsWhile`][String.takeLastColsWhile]` { it.`[`kind`][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[`ColumnKind.Value`][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[takeLastWhile][ColumnSet.takeLastWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[takeLastWhile][ColumnSet.takeLastWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[takeLastWhile][ColumnSet.takeLastWhile]` { it.`[name][ColumnWithPath.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[takeLastWhile][ColumnSet.takeLastWhile]` { it.`[name][ColumnWithPath.name]`.`[startsWith][String.startsWith]`("my") } }` * * @param [predicate] The [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] to control which columns to take. * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing the last columns adhering to the [predicate]. @@ -950,15 +950,15 @@ public interface TakeColumnsSelectionDsl { * ### Check out: [Usage] * * #### Examples: - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[takeLastWhile][ColumnSet.takeLastWhile]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[`takeLastWhile`][ColumnSet.takeLastWhile]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[takeLastWhile][SingleColumn.takeLastColsWhile]` { it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`takeLastWhile`][SingleColumn.takeLastColsWhile]` { it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[takeLastColsWhile][String.takeLastColsWhile]` { it.`[kind][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[ColumnKind.Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`takeLastColsWhile`][String.takeLastColsWhile]` { it.`[`kind`][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[`ColumnKind.Value`][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[takeLastWhile][ColumnsSelectionDsl.takeLastWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` + * `df.`[select][DataFrame.select]` { `[takeLastWhile][ColumnsSelectionDsl.takeLastWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` * * @param [predicate] The [ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] to control which columns to take. * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] containing the last columns adhering to the [predicate]. @@ -982,11 +982,11 @@ public interface TakeColumnsSelectionDsl { * ### Check out: [Usage] * * #### Examples: - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[takeLastWhile][ColumnSet.takeLastWhile]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[`takeLastWhile`][ColumnSet.takeLastWhile]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[takeLastWhile][SingleColumn.takeLastColsWhile]` { it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`takeLastWhile`][SingleColumn.takeLastColsWhile]` { it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[takeLastColsWhile][String.takeLastColsWhile]` { it.`[kind][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[ColumnKind.Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`takeLastColsWhile`][String.takeLastColsWhile]` { it.`[`kind`][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[`ColumnKind.Value`][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` * * #### Examples for this overload: * @@ -1014,11 +1014,11 @@ public interface TakeColumnsSelectionDsl { * ### Check out: [Usage] * * #### Examples: - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[takeLastWhile][ColumnSet.takeLastWhile]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[`takeLastWhile`][ColumnSet.takeLastWhile]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[takeLastWhile][SingleColumn.takeLastColsWhile]` { it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`takeLastWhile`][SingleColumn.takeLastColsWhile]` { it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[takeLastColsWhile][String.takeLastColsWhile]` { it.`[kind][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[ColumnKind.Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`takeLastColsWhile`][String.takeLastColsWhile]` { it.`[`kind`][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[`ColumnKind.Value`][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` * * #### Examples for this overload: * @@ -1046,11 +1046,11 @@ public interface TakeColumnsSelectionDsl { * ### Check out: [Usage] * * #### Examples: - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[takeLastWhile][ColumnSet.takeLastWhile]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[`takeLastWhile`][ColumnSet.takeLastWhile]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[takeLastWhile][SingleColumn.takeLastColsWhile]` { it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`takeLastWhile`][SingleColumn.takeLastColsWhile]` { it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[takeLastColsWhile][String.takeLastColsWhile]` { it.`[kind][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[ColumnKind.Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`takeLastColsWhile`][String.takeLastColsWhile]` { it.`[`kind`][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[`ColumnKind.Value`][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` * * #### Examples for this overload: * @@ -1080,11 +1080,11 @@ public interface TakeColumnsSelectionDsl { * ### Check out: [Usage] * * #### Examples: - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[takeLastWhile][ColumnSet.takeLastWhile]` { "my" `[in][String.contains]` it.`[name][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[`cols`][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` }.`[`takeLastWhile`][ColumnSet.takeLastWhile]` { "my" `[`in`][String.contains]` it.`[`name`][org.jetbrains.kotlinx.dataframe.DataColumn.name]` } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[takeLastWhile][SingleColumn.takeLastColsWhile]` { it.`[any][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[`takeLastWhile`][SingleColumn.takeLastColsWhile]` { it.`[`any`][org.jetbrains.kotlinx.dataframe.DataColumn.any]` { it == "Alice" } } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[takeLastColsWhile][String.takeLastColsWhile]` { it.`[kind][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[ColumnKind.Value][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColumnGroup".`[`takeLastColsWhile`][String.takeLastColsWhile]` { it.`[`kind`][org.jetbrains.kotlinx.dataframe.DataColumn.kind]`() == `[`ColumnKind.Value`][org.jetbrains.kotlinx.dataframe.columns.ColumnKind.Value]` } }` * * #### Examples for this overload: * diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/update.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/update.kt index 1145a274c..bbeb8e9ef 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/update.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/update.kt @@ -51,7 +51,7 @@ public data class Update( /** - * ## [**update**][update] Operation Grammar + * ## [**`update`**][update] Operation Grammar * *      * @@ -60,34 +60,34 @@ public data class Update( *      * * - * [**update**][update]**` { `**[columns][SelectingColumns]**` }`** + * [**`update`**][update]**` { `**[`columns`][SelectingColumns]**` }`** * *      - * `[ .`[**where**][Update.where]**` { `**[rowValueCondition][SelectingRows.RowValueCondition.WithExample]**` } `**`]` + * `[ `__`.`__[**`where`**][Update.where]**` { `**[`rowValueCondition`][SelectingRows.RowValueCondition.WithExample]**` } `**`]` * *      - * `[ .`[**at**][Update.at]**`(`**[rowIndices][CommonUpdateAtFunctionDoc.RowIndicesParam]**`)`**` ]` + * `[ `__`.`__[**`at`**][Update.at]**`(`**[`rowIndices`][CommonUpdateAtFunctionDoc.RowIndicesParam]**`)`**` ]` * *      - * `.`[**with**][Update.with]**` { `**[rowExpression][ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** + * __`.`__[**`with`**][Update.with]**` { `**[`rowExpression`][ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** * *      - * `| .`[**notNull**][Update.notNull]**` { `**[rowExpression][ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** + * `| `__`.`__[**`notNull`**][Update.notNull]**` { `**[`rowExpression`][ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** * *      - * `| .`[**perCol**][Update.perCol]**` { `**[colExpression][ExpressionsGivenColumn.ColumnExpression.WithExample]**` }`** + * `| `__`.`__[**`perCol`**][Update.perCol]**` { `**[`colExpression`][ExpressionsGivenColumn.ColumnExpression.WithExample]**` }`** * *      - * `| .`[**perRowCol**][Update.perRowCol]**` { `**[rowColExpression][ExpressionsGivenRowAndColumn.RowColumnExpression.WithExample]**` }`** + * `| `__`.`__[**`perRowCol`**][Update.perRowCol]**` { `**[`rowColExpression`][ExpressionsGivenRowAndColumn.RowColumnExpression.WithExample]**` }`** * *      - * `| .`[**withNull**][Update.withNull]**`()`** + * `| `__`.`__[**`withNull`**][Update.withNull]**`()`** * *      - * `| .`[**withZero**][Update.withZero]**`()`** + * `| `__`.`__[**`withZero`**][Update.withZero]**`()`** * *      - * `| .`[**asFrame**][Update.asFrame]**` { `**[dataFrameExpression][ExpressionsGivenDataFrame.DataFrameExpression.WithExample]**` }`** + * `| `__`.`__[**`asFrame`**][Update.asFrame]**` { `**[`dataFrameExpression`][ExpressionsGivenDataFrame.DataFrameExpression.WithExample]**` }`** * * */ diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCol.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCol.kt index 98c04356a..0530acb54 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCol.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCol.kt @@ -43,25 +43,25 @@ public interface ValueColColumnsSelectionDsl { *      * * ### Definitions: - * `columnSet: `[ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` + * `columnSet: `[`ColumnSet`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` * *      * - * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] + * `columnGroup: `[`SingleColumn`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`String`][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<* | `[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] + * `column: `[`ColumnAccessor`][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[`String`][String] * *             - * `| `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<*> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `index: `[Int][Int] + * `index: `[`Int`][Int] * *      * @@ -74,7 +74,7 @@ public interface ValueColColumnsSelectionDsl { * *      * - * [**valueCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCol]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** + * [**`valueCol`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCol]`[`**`<`**[`T`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[`index`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** * *      * @@ -83,9 +83,9 @@ public interface ValueColColumnsSelectionDsl { * *      * - * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * [`columnSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     **`.`**[**valueCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCol]**`(`**[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** + *     __`.`__[**`valueCol`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCol]**`(`**[`index`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** * *      * @@ -94,9 +94,9 @@ public interface ValueColColumnsSelectionDsl { * *      * - * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] + * [`columnGroup`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     **`.`**[**valueCol**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCol]`[`**`<`**[T][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[index][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** + *     __`.`__[**`valueCol`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCol]`[`**`<`**[`T`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnTypeDef]**`>`**`]`**`(`**[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[`index`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.IndexDef]**`)`** * * * @@ -113,13 +113,13 @@ public interface ValueColColumnsSelectionDsl { */ public interface Grammar { - /** [**valueCol**][ColumnsSelectionDsl.valueCol] */ + /** [**`valueCol`**][ColumnsSelectionDsl.valueCol] */ public interface PlainDslName - /** **`.`**[**valueCol**][ColumnsSelectionDsl.valueCol] */ + /** __`.`__[**`valueCol`**][ColumnsSelectionDsl.valueCol] */ public interface ColumnSetName - /** **`.`**[**valueCol**][ColumnsSelectionDsl.valueCol] */ + /** __`.`__[**`valueCol`**][ColumnsSelectionDsl.valueCol] */ public interface ColumnGroupName } @@ -144,9 +144,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][DataFrame.select]` { `[valueCol][valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][DataFrame.select]` { `[valueCol][valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][DataFrame.select]` { `[valueCol][valueCol]`(SomeType::valueColB) }` + * `df.`[select][DataFrame.select]` { `[valueCol][valueCol]`(SomeType::valueColB) }` * * `df.`[select][DataFrame.select]` { myColumnGroup.`[valueCol][valueCol]`(1) }` * @@ -222,9 +222,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -274,9 +274,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -326,9 +326,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -384,9 +384,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -437,9 +437,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -490,9 +490,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -543,9 +543,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -600,9 +600,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -653,9 +653,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -708,9 +708,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -762,9 +762,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -818,9 +818,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -878,9 +878,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -934,9 +934,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -989,9 +989,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -1045,9 +1045,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -1100,9 +1100,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -1156,9 +1156,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -1211,9 +1211,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -1267,9 +1267,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -1326,9 +1326,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -1379,9 +1379,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -1434,9 +1434,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -1488,9 +1488,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -1544,9 +1544,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -1604,9 +1604,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -1660,9 +1660,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -1715,9 +1715,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -1771,9 +1771,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -1826,9 +1826,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -1882,9 +1882,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -1937,9 +1937,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -1993,9 +1993,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -2052,9 +2052,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -2104,9 +2104,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -2156,9 +2156,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -2209,9 +2209,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -2262,9 +2262,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -2315,9 +2315,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -2368,9 +2368,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -2425,9 +2425,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -2479,9 +2479,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -2533,9 +2533,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -2590,9 +2590,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -2646,9 +2646,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -2703,9 +2703,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -2763,9 +2763,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -2820,9 +2820,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -2876,9 +2876,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -2933,9 +2933,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -2989,9 +2989,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * @@ -3046,9 +3046,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(SomeType::valueColB) }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { myColumnGroup.`[valueCol][org.jetbrains.kotlinx.dataframe.api.ValueColColumnsSelectionDsl.valueCol]`(1) }` * diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCols.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCols.kt index dbba1b38e..7845eb24e 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCols.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCols.kt @@ -39,18 +39,18 @@ public interface ValueColsColumnsSelectionDsl { *      * * ### Definitions: - * `columnSet: `[ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` + * `columnSet: `[`ColumnSet`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` * *      * - * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] + * `columnGroup: `[`SingleColumn`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`String`][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<* | `[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `condition: `[ColumnFilter][org.jetbrains.kotlinx.dataframe.ColumnFilter] + * `condition: `[`ColumnFilter`][org.jetbrains.kotlinx.dataframe.ColumnFilter] * *      * @@ -59,7 +59,7 @@ public interface ValueColsColumnsSelectionDsl { * *      * - * [**valueCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + * [**`valueCols`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * *      * @@ -68,9 +68,9 @@ public interface ValueColsColumnsSelectionDsl { * *      * - * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * [`columnSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     **`.`**[**valueCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     __`.`__[**`valueCols`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * *      * @@ -79,9 +79,9 @@ public interface ValueColsColumnsSelectionDsl { * *      * - * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] + * [`columnGroup`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     **`.`**[**valueCols**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]` [` **`{ `**[condition][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`** `]` + *     __`.`__[**`valueCols`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]` [ `**`{ `**[`condition`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ConditionDef]**` }`**` ]` * * * @@ -98,13 +98,13 @@ public interface ValueColsColumnsSelectionDsl { */ public interface Grammar { - /** [**valueCols**][ColumnsSelectionDsl.valueCols] */ + /** [**`valueCols`**][ColumnsSelectionDsl.valueCols] */ public interface PlainDslName - /** **`.`**[**valueCols**][ColumnsSelectionDsl.valueCols] */ + /** __`.`__[**`valueCols`**][ColumnsSelectionDsl.valueCols] */ public interface ColumnSetName - /** **`.`**[**valueCols**][ColumnsSelectionDsl.valueCols] */ + /** __`.`__[**`valueCols`**][ColumnsSelectionDsl.valueCols] */ public interface ColumnGroupName } @@ -121,9 +121,9 @@ public interface ValueColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][DataFrame.select]` { `[valueCols][ColumnsSelectionDsl.valueCols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[valueCols][ColumnsSelectionDsl.valueCols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]`().`[valueCols][ColumnsSelectionDsl.valueCols]`() }` + * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]`().`[valueCols][ColumnsSelectionDsl.valueCols]`() }` * * `df.`[select][DataFrame.select]` { "myColGroup".`[valueCols][String.valueCols]`() }` * @@ -157,19 +157,19 @@ public interface ValueColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[valueCols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[valueCols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]`() }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[valueCols][kotlin.String.valueCols]`() }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") }.`[valueCols][ColumnSet.valueCols]`() }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") }.`[valueCols][ColumnSet.valueCols]`() }` * * `// NOTE: This can be shortened to just:` * - * `df.`[select][DataFrame.select]` { `[valueCols][ColumnsSelectionDsl.valueCols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[valueCols][ColumnsSelectionDsl.valueCols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * * @param [filter] An optional [predicate][org.jetbrains.kotlinx.dataframe.Predicate] to filter the value columns by. * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] of [ValueColumns][org.jetbrains.kotlinx.dataframe.columns.ValueColumn]. @@ -194,17 +194,17 @@ public interface ValueColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[valueCols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[valueCols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]`() }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[valueCols][kotlin.String.valueCols]`() }` * * #### Examples for this overload: * - * `df.`[select][DataFrame.select]` { `[valueCols][ColumnsSelectionDsl.valueCols]`() }` + * `df.`[select][DataFrame.select]` { `[valueCols][ColumnsSelectionDsl.valueCols]`() }` * - * `df.`[select][DataFrame.select]` { `[valueCols][ColumnsSelectionDsl.valueCols]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` + * `df.`[select][DataFrame.select]` { `[valueCols][ColumnsSelectionDsl.valueCols]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` * * @param [filter] An optional [predicate][org.jetbrains.kotlinx.dataframe.Predicate] to filter the value columns by. * @return A [ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet] of [ValueColumns][org.jetbrains.kotlinx.dataframe.columns.ValueColumn]. @@ -229,9 +229,9 @@ public interface ValueColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[valueCols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[valueCols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]`() }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[valueCols][kotlin.String.valueCols]`() }` * @@ -264,9 +264,9 @@ public interface ValueColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[valueCols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[valueCols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]`() }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[valueCols][kotlin.String.valueCols]`() }` * @@ -299,9 +299,9 @@ public interface ValueColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[valueCols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[valueCols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]`() }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[valueCols][kotlin.String.valueCols]`() }` * @@ -336,9 +336,9 @@ public interface ValueColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[valueCols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]` { it.`[name][org.jetbrains.kotlinx.dataframe.columns.ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[valueCols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsAtAnyDepth]`().`[valueCols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.valueCols]`() }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { "myColGroup".`[valueCols][kotlin.String.valueCols]`() }` * diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/withoutNulls.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/withoutNulls.kt index 6ec79bc2c..f41c873ab 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/withoutNulls.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/withoutNulls.kt @@ -35,14 +35,14 @@ public interface WithoutNullsColumnsSelectionDsl { *      * * ### Definitions: - * `columnSet: `[ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` + * `columnSet: `[`ColumnSet`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` * *      * - * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] + * `columnGroup: `[`SingleColumn`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`String`][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<* | `[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * @@ -51,7 +51,7 @@ public interface WithoutNullsColumnsSelectionDsl { * *      * - * [**withoutNulls**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.withoutNulls]**`()`** + * [**`withoutNulls`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.withoutNulls]**`()`** * *      * @@ -60,9 +60,9 @@ public interface WithoutNullsColumnsSelectionDsl { * *      * - * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * [`columnSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     **`.`**[**withoutNulls**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.withoutNulls]**`()`** + *     __`.`__[**`withoutNulls`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.withoutNulls]**`()`** * *      * @@ -71,9 +71,9 @@ public interface WithoutNullsColumnsSelectionDsl { * *      * - * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] + * [`columnGroup`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     **`.`**[**colsWithoutNulls**][org.jetbrains.kotlinx.dataframe.api.WithoutNullsColumnsSelectionDsl.colsWithoutNulls]**`()`** + *     __`.`__[**`colsWithoutNulls`**][org.jetbrains.kotlinx.dataframe.api.WithoutNullsColumnsSelectionDsl.colsWithoutNulls]**`()`** * * * @@ -90,13 +90,13 @@ public interface WithoutNullsColumnsSelectionDsl { */ public interface Grammar { - /** [**withoutNulls**][ColumnsSelectionDsl.withoutNulls] */ + /** [**`withoutNulls`**][ColumnsSelectionDsl.withoutNulls] */ public interface PlainDslName - /** **`.`**[**withoutNulls**][ColumnsSelectionDsl.withoutNulls] */ + /** __`.`__[**`withoutNulls`**][ColumnsSelectionDsl.withoutNulls] */ public interface ColumnSetName - /** **`.`**[**colsWithoutNulls**][ColumnsSelectionDsl.colsWithoutNulls] */ + /** __`.`__[**`colsWithoutNulls`**][ColumnsSelectionDsl.colsWithoutNulls] */ public interface ColumnGroupName } @@ -112,9 +112,9 @@ public interface WithoutNullsColumnsSelectionDsl { * * #### For Example: * - * `df.`[select][DataFrame.select]` { `[all][ColumnsSelectionDsl.all]`().`[nameContains][ColumnsSelectionDsl.colsNameContains]`("middleName").`[withoutNulls][ColumnSet.withoutNulls]`() }` + * `df.`[select][DataFrame.select]` { `[all][ColumnsSelectionDsl.all]`().`[nameContains][ColumnsSelectionDsl.colsNameContains]`("middleName").`[withoutNulls][ColumnSet.withoutNulls]`() }` * - * `df.`[select][DataFrame.select]` { `[withoutNulls][ColumnsSelectionDsl.withoutNulls]`() }` + * `df.`[select][DataFrame.select]` { `[withoutNulls][ColumnsSelectionDsl.withoutNulls]`() }` * * `df.`[select][DataFrame.select]` { Type::userData.`[colsWithoutNulls][SingleColumn.colsWithoutNulls]`() }` * @@ -141,9 +141,9 @@ public interface WithoutNullsColumnsSelectionDsl { * * #### For Example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`().`[nameContains][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameContains]`("middleName").`[withoutNulls][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.withoutNulls]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`().`[nameContains][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameContains]`("middleName").`[withoutNulls][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.withoutNulls]`() }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[withoutNulls][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.withoutNulls]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[withoutNulls][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.withoutNulls]`() }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::userData.`[colsWithoutNulls][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsWithoutNulls]`() }` * @@ -169,9 +169,9 @@ public interface WithoutNullsColumnsSelectionDsl { * * #### For Example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`().`[nameContains][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameContains]`("middleName").`[withoutNulls][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.withoutNulls]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`().`[nameContains][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameContains]`("middleName").`[withoutNulls][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.withoutNulls]`() }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[withoutNulls][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.withoutNulls]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[withoutNulls][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.withoutNulls]`() }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::userData.`[colsWithoutNulls][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsWithoutNulls]`() }` * @@ -196,9 +196,9 @@ public interface WithoutNullsColumnsSelectionDsl { * * #### For Example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`().`[nameContains][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameContains]`("middleName").`[withoutNulls][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.withoutNulls]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`().`[nameContains][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameContains]`("middleName").`[withoutNulls][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.withoutNulls]`() }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[withoutNulls][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.withoutNulls]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[withoutNulls][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.withoutNulls]`() }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::userData.`[colsWithoutNulls][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsWithoutNulls]`() }` * @@ -223,9 +223,9 @@ public interface WithoutNullsColumnsSelectionDsl { * * #### For Example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`().`[nameContains][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameContains]`("middleName").`[withoutNulls][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.withoutNulls]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`().`[nameContains][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameContains]`("middleName").`[withoutNulls][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.withoutNulls]`() }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[withoutNulls][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.withoutNulls]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[withoutNulls][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.withoutNulls]`() }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::userData.`[colsWithoutNulls][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsWithoutNulls]`() }` * @@ -250,9 +250,9 @@ public interface WithoutNullsColumnsSelectionDsl { * * #### For Example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`().`[nameContains][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameContains]`("middleName").`[withoutNulls][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.withoutNulls]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`().`[nameContains][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameContains]`("middleName").`[withoutNulls][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.withoutNulls]`() }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[withoutNulls][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.withoutNulls]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[withoutNulls][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.withoutNulls]`() }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::userData.`[colsWithoutNulls][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsWithoutNulls]`() }` * @@ -277,9 +277,9 @@ public interface WithoutNullsColumnsSelectionDsl { * * #### For Example: * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`().`[nameContains][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameContains]`("middleName").`[withoutNulls][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.withoutNulls]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[all][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.all]`().`[nameContains][org.jetbrains.kotlinx.dataframe.api.ColumnNameFiltersColumnsSelectionDsl.colsNameContains]`("middleName").`[withoutNulls][org.jetbrains.kotlinx.dataframe.columns.ColumnSet.withoutNulls]`() }` * - * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[withoutNulls][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.withoutNulls]`() }` + * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { `[withoutNulls][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.withoutNulls]`() }` * * `df.`[select][org.jetbrains.kotlinx.dataframe.DataFrame.select]` { Type::userData.`[colsWithoutNulls][org.jetbrains.kotlinx.dataframe.columns.SingleColumn.colsWithoutNulls]`() }` * diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/DslGrammarTemplateColumnsSelectionDsl.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/DslGrammarTemplateColumnsSelectionDsl.kt index 34e10adb0..9084bd684 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/DslGrammarTemplateColumnsSelectionDsl.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/DslGrammarTemplateColumnsSelectionDsl.kt @@ -49,7 +49,7 @@ public interface DslGrammarTemplateColumnsSelectionDsl { * *      * - * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * [`columnSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * * * @@ -60,7 +60,7 @@ public interface DslGrammarTemplateColumnsSelectionDsl { * *      * - * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] + * [`columnGroup`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * * * @@ -107,162 +107,162 @@ public interface DslGrammarTemplateColumnsSelectionDsl { // region Definitions for at the top of the template /** - * `columnGroupReference: `[String][String]` | `[KProperty][kotlin.reflect.KProperty]`<*>` + * `columnGroupReference: `[`String`][String]` | `[`KProperty`][kotlin.reflect.KProperty]`<*>` * *                                         - * `| `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] */ public interface ColumnGroupNoSingleColumnDef - /** `colSelector: `[ColumnSelector][ColumnSelector] */ + /** `colSelector: `[`ColumnSelector`][ColumnSelector] */ public interface ColumnSelectorDef - /** `colsSelector: `[ColumnsSelector][ColumnsSelector] */ + /** `colsSelector: `[`ColumnsSelector`][ColumnsSelector] */ public interface ColumnsSelectorDef /** - * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] + * `column: `[`ColumnAccessor`][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[`String`][String] * *             - * `| `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<*> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] */ public interface ColumnDef /** - * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] + * `columnGroup: `[`SingleColumn`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`String`][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<* | `[`DataRow`][DataRow]`<*>> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] */ public interface ColumnGroupDef - /** `columnNoAccessor: `[String][String]` | `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] */ + /** `columnNoAccessor: `[`String`][String]` | `[`KProperty`][kotlin.reflect.KProperty]`<*> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] */ public interface ColumnNoAccessorDef - /** `columnOrSet: `[column][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] */ + /** `columnOrSet: `[`column`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnDef]` | `[`columnSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] */ public interface ColumnOrColumnSetDef - /** `columnSet: `[ColumnSet][ColumnSet]`<*>` */ + /** `columnSet: `[`ColumnSet`][ColumnSet]`<*>` */ public interface ColumnSetDef - /** `columnsResolver: `[ColumnsResolver][ColumnsResolver] */ + /** `columnsResolver: `[`ColumnsResolver`][ColumnsResolver] */ public interface ColumnsResolverDef - /** `condition: `[ColumnFilter][ColumnFilter] */ + /** `condition: `[`ColumnFilter`][ColumnFilter] */ public interface ConditionDef /** `expression: `[Column Expression][org.jetbrains.kotlinx.dataframe.documentation.ColumnExpression] */ public interface ColumnExpressionDef - /** `ignoreCase: `[Boolean][Boolean] */ + /** `ignoreCase: `[`Boolean`][Boolean] */ public interface IgnoreCaseDef - /** `index: `[Int][Int] */ + /** `index: `[`Int`][Int] */ public interface IndexDef - /** `indexRange: `[IntRange][IntRange] */ + /** `indexRange: `[`IntRange`][IntRange] */ public interface IndexRangeDef - /** `infer: `[Infer][org.jetbrains.kotlinx.dataframe.api.Infer] */ + /** `infer: `[`Infer`][org.jetbrains.kotlinx.dataframe.api.Infer] */ public interface InferDef - /** `kind: `[ColumnKind][ColumnKind] */ + /** `kind: `[`ColumnKind`][ColumnKind] */ public interface ColumnKindDef - /** `kType: `[KType][kotlin.reflect.KType] */ + /** `kType: `[`KType`][kotlin.reflect.KType] */ public interface KTypeDef - /** `name: `[String][String] */ + /** `name: `[`String`][String] */ public interface NameDef - /** `number: `[Int][Int] */ + /** `number: `[`Int`][Int] */ public interface NumberDef - /** `regex: `[Regex][Regex] */ + /** `regex: `[`Regex`][Regex] */ public interface RegexDef /** - * `singleColumn: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` + * `singleColumn: `[`SingleColumn`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` */ public interface SingleColumnDef /** `T: Column type` */ public interface ColumnTypeDef - /** `text: `[String][String] */ + /** `text: `[`String`][String] */ public interface TextDef // endregion // region References to the definitions - /** [columnGroupReference][ColumnGroupNoSingleColumnDef] */ + /** [`columnGroupReference`][ColumnGroupNoSingleColumnDef] */ public interface ColumnGroupNoSingleColumnRef - /** [colSelector][ColumnSelectorDef] */ + /** [`colSelector`][ColumnSelectorDef] */ public interface ColumnSelectorRef - /** [colsSelector][ColumnsSelectorDef] */ + /** [`colsSelector`][ColumnsSelectorDef] */ public interface ColumnsSelectorRef - /** [column][ColumnDef] */ + /** [`column`][ColumnDef] */ public interface ColumnRef - /** [columnGroup][ColumnGroupDef] */ + /** [`columnGroup`][ColumnGroupDef] */ public interface ColumnGroupRef - /** [columnNoAccessor][ColumnNoAccessorDef] */ + /** [`columnNoAccessor`][ColumnNoAccessorDef] */ public interface ColumnNoAccessorRef - /** [columnOrSet][ColumnOrColumnSetDef] */ + /** [`columnOrSet`][ColumnOrColumnSetDef] */ public interface ColumnOrColumnSetRef - /** [columnSet][ColumnSetDef] */ + /** [`columnSet`][ColumnSetDef] */ public interface ColumnSetRef - /** [columnsResolver][ColumnsResolverDef] */ + /** [`columnsResolver`][ColumnsResolverDef] */ public interface ColumnsResolverRef - /** [condition][ConditionDef] */ + /** [`condition`][ConditionDef] */ public interface ConditionRef - /** [expression][ColumnExpressionDef] */ + /** [`expression`][ColumnExpressionDef] */ public interface ColumnExpressionRef - /** [ignoreCase][IgnoreCaseDef] */ + /** [`ignoreCase`][IgnoreCaseDef] */ public interface IgnoreCaseRef - /** [index][IndexDef] */ + /** [`index`][IndexDef] */ public interface IndexRef - /** [indexRange][IndexRangeDef] */ + /** [`indexRange`][IndexRangeDef] */ public interface IndexRangeRef - /** [infer][InferDef] */ + /** [`infer`][InferDef] */ public interface InferRef - /** [kind][ColumnKindDef] */ + /** [`kind`][ColumnKindDef] */ public interface ColumnKindRef - /** [kType][KTypeDef] */ + /** [`kType`][KTypeDef] */ public interface KTypeRef - /** [name][NameDef] */ + /** [`name`][NameDef] */ public interface NameRef - /** [number][NumberDef] */ + /** [`number`][NumberDef] */ public interface NumberRef - /** [regex][RegexDef] */ + /** [`regex`][RegexDef] */ public interface RegexRef - /** [singleColumn][SingleColumnDef] */ + /** [`singleColumn`][SingleColumnDef] */ public interface SingleColumnRef - /** [T][ColumnTypeDef] */ + /** [`T`][ColumnTypeDef] */ public interface ColumnTypeRef - /** [text][TextDef] */ + /** [`text`][TextDef] */ public interface TextRef // endregion @@ -279,18 +279,18 @@ public interface DslGrammarTemplateColumnsSelectionDsl { *      * * ### Definitions: - * `columnSet: `[ColumnSet][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` + * `columnSet: `[`ColumnSet`][org.jetbrains.kotlinx.dataframe.columns.ColumnSet]`<*>` * *      * - * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] + * `columnGroup: `[`SingleColumn`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`String`][String] * *                       - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<* | `[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] * *      * - * `number: `[Int][Int] + * `number: `[`Int`][Int] * * * @@ -301,9 +301,9 @@ public interface DslGrammarTemplateColumnsSelectionDsl { * *      * - * [columnSet][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] + * [`columnSet`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnSetDef] * - *     .[**example**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.first]**`(`**`[`[number][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]`]`**`)`** + *     __`.`__[**`example`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.first]**`(`**`[`[`number`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]`]`**`)`** * *      * @@ -312,9 +312,9 @@ public interface DslGrammarTemplateColumnsSelectionDsl { * *      * - * [columnGroup][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] + * [`columnGroup`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.ColumnGroupDef] * - *     .[**colsExample**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.first]**`(`**`[`[number][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]`]`**`)`** + *     __`.`__[**`colsExample`**][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.first]**`(`**`[`[`number`][org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSelectionDsl.DslGrammarTemplate.NumberDef]`]`**`)`** * * * @@ -335,10 +335,10 @@ public interface DslGrammarTemplateColumnsSelectionDsl { */ public interface UsageTemplateExample { - /** .[**example**][ColumnsSelectionDsl.first] */ + /** __`.`__[**`example`**][ColumnsSelectionDsl.first] */ public interface ColumnSetName - /** .[**colsExample**][ColumnsSelectionDsl.first] */ + /** __`.`__[**`colsExample`**][ColumnsSelectionDsl.first] */ public interface ColumnGroupName } } diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/ColumnsSelectionDsl.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/ColumnsSelectionDsl.kt index 71e60c291..db7b7e418 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/ColumnsSelectionDsl.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/ColumnsSelectionDsl.kt @@ -381,9 +381,9 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * @include [SelectColumnsSelectionDsl.CommonSelectDocs] * @set [SelectColumnsSelectionDsl.CommonSelectDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { myColGroup.`[select][SingleColumn.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][DataFrame.select]` { myColGroup.`[`select`][SingleColumn.select]` { someCol `[`and`][ColumnsSelectionDsl.and]` `[`colsOf`][SingleColumn.colsOf]`<`[`String`][String]`>() } }` * - * `df.`[select][DataFrame.select]` { myColGroup `[{][SingleColumn.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[}][SingleColumn.select]` }` + * `df.`[select][DataFrame.select]` { myColGroup `[`{`][SingleColumn.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[`}`][SingleColumn.select]` }` */ public operator fun SingleColumn>.invoke(selector: ColumnsSelector): ColumnSet = select(selector) @@ -392,9 +392,9 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * @include [SelectColumnsSelectionDsl.CommonSelectDocs] * @set [SelectColumnsSelectionDsl.CommonSelectDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { Type::myColGroup.`[select][KProperty.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][DataFrame.select]` { Type::myColGroup.`[`select`][KProperty.select]` { someCol `[`and`][ColumnsSelectionDsl.and]` `[`colsOf`][SingleColumn.colsOf]`<`[`String`][String]`>() } }` * - * `df.`[select][DataFrame.select]` { DataSchemaType::myColGroup `[`{`][KProperty.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[`}`][KProperty.select]` }` + * `df.`[select][DataFrame.select]` { DataSchemaType::myColGroup `[`{`][KProperty.select]` colA `[`and`][ColumnsSelectionDsl.and]` colB `[`}`][KProperty.select]` }` * * ## NOTE: {@comment TODO fix warning} * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you @@ -410,9 +410,9 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * @include [SelectColumnsSelectionDsl.CommonSelectDocs] * @set [SelectColumnsSelectionDsl.CommonSelectDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { Type::myColGroup.`[select][KProperty.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][DataFrame.select]` { Type::myColGroup.`[`select`][KProperty.select]` { someCol `[`and`][ColumnsSelectionDsl.and]` `[`colsOf`][SingleColumn.colsOf]`<`[`String`][String]`>() } }` * - * `df.`[select][DataFrame.select]` { DataSchemaType::myColGroup `[`{`][KProperty.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[`}`][KProperty.select]` }` + * `df.`[select][DataFrame.select]` { DataSchemaType::myColGroup `[`{`][KProperty.select]` colA `[`and`][ColumnsSelectionDsl.and]` colB `[`}`][KProperty.select]` }` */ @OptIn(ExperimentalTypeInference::class) @OverloadResolutionByLambdaReturnType @@ -423,9 +423,9 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * @include [SelectColumnsSelectionDsl.CommonSelectDocs] * @set [SelectColumnsSelectionDsl.CommonSelectDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { "myColGroup".`[select][String.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][DataFrame.select]` { "myColGroup".`[`select`][String.select]` { someCol `[`and`][ColumnsSelectionDsl.and]` `[`colsOf`][SingleColumn.colsOf]`<`[`String`][String]`>() } }` * - * `df.`[select][DataFrame.select]` { "myColGroup" `[{][String.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[}][String.select]` }` + * `df.`[select][DataFrame.select]` { "myColGroup" `[`{`][String.select]` colA `[`and`][ColumnsSelectionDsl.and]` colB `[`}`][String.select]` }` */ public operator fun String.invoke(selector: ColumnsSelector<*, R>): ColumnSet = select(selector) @@ -434,13 +434,13 @@ public interface ColumnsSelectionDsl : /* SingleColumn> */ * @include [SelectColumnsSelectionDsl.CommonSelectDocs] * @set [SelectColumnsSelectionDsl.CommonSelectDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { "pathTo"["myColGroup"].`[select][ColumnPath.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][DataFrame.select]` { "pathTo"["myColGroup"].`[`select`][ColumnPath.select]` { someCol `[`and`][ColumnsSelectionDsl.and]` `[`colsOf`][SingleColumn.colsOf]`<`[`String`][String]`>() } }` * - * `df.`[select][DataFrame.select]` { "pathTo"["myColGroup"] `[{][ColumnPath.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[}][ColumnPath.select]` }` + * `df.`[select][DataFrame.select]` { "pathTo"["myColGroup"] `[`{`][ColumnPath.select]` colA `[`and`][ColumnsSelectionDsl.and]` colB `[`}`][ColumnPath.select]` }` * - * `df.`[select][DataFrame.select]` { `[pathOf][pathOf]`("pathTo", "myColGroup").`[select][ColumnPath.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][DataFrame.select]` { `[`pathOf`][pathOf]`("pathTo", "myColGroup").`[`select`][ColumnPath.select]` { someCol `[`and`][ColumnsSelectionDsl.and]` `[`colsOf`][SingleColumn.colsOf]`<`[`String`][String]`>() } }` * - * `df.`[select][DataFrame.select]` { `[pathOf][pathOf]`("pathTo", "myColGroup")`[() {][ColumnPath.select]` someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() `[}][ColumnPath.select]` }` + * `df.`[select][DataFrame.select]` { `[`pathOf`][pathOf]`("pathTo", "myColGroup")`[`() {`][ColumnPath.select]` someCol `[`and`][ColumnsSelectionDsl.and]` `[`colsOf`][SingleColumn.colsOf]`<`[`String`][String]`>() `[`}`][ColumnPath.select]` }` */ public operator fun ColumnPath.invoke(selector: ColumnsSelector<*, R>): ColumnSet = select(selector) diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/all.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/all.kt index 3e46a0874..f11f6d86d 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/all.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/all.kt @@ -110,61 +110,61 @@ public interface AllColumnsSelectionDsl { * {@set [DslGrammarTemplate.PlainDslFunctionsArg] * {@include [PlainDslName]}**`()`** * - * `| `**`all`**`(`{@include [Before]}`|`{@include [After]}`|`{@include [From]}`|`{@include [UpTo]}`) ( `**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`)`**` | `**`{ `**{@include [DslGrammarTemplate.ColumnSelectorRef]}**` \}`**` )` + * `| `**`all`**`(`{@include [Before]}`|`{@include [After]}`|`{@include [From]}`|`{@include [UpTo]}`) ( `**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`)`**` | `**`{ `**{@include [DslGrammarTemplate.ColumnSelectorRef]}**` \}`**` )` * } * * {@set [DslGrammarTemplate.ColumnSetFunctionsArg] * {@include [Indent]}{@include [ColumnSetName]}**`()`** * - * {@include [Indent]}`| .`**`all`**`(`{@include [Before]}`|`{@include [After]}`|`{@include [From]}`|`{@include [UpTo]}`) ( `**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`)`**` | `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` )` + * {@include [Indent]}`| `**`.all`**`(`{@include [Before]}`|`{@include [After]}`|`{@include [From]}`|`{@include [UpTo]}`) ( `**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`)`**` | `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` )` * } * * {@set [DslGrammarTemplate.ColumnGroupFunctionsArg] * {@include [Indent]}{@include [ColumnGroupName]}**`()`** * - * {@include [Indent]}`| .`**`allCols`**`(`{@include [Before]}`|`{@include [After]}`|`{@include [From]}`|`{@include [UpTo]}`) ( `**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`)`**` | `**`{ `**{@include [DslGrammarTemplate.ColumnSelectorRef]}**` \}`**` )` + * {@include [Indent]}`| `**`.allCols`**`(`{@include [Before]}`|`{@include [After]}`|`{@include [From]}`|`{@include [UpTo]}`) ( `**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`)`**` | `**`{ `**{@include [DslGrammarTemplate.ColumnSelectorRef]}**` \}`**` )` * } */ public interface Grammar { - /** [**all**][ColumnsSelectionDsl.all] */ + /** [**`all`**][ColumnsSelectionDsl.all] */ public interface PlainDslName - /** \**`.`**[**all**][ColumnsSelectionDsl.all] */ + /** __`.`__[**`all`**][ColumnsSelectionDsl.all] */ public interface ColumnSetName - /** \**`.`**[**allCols**][ColumnsSelectionDsl.allCols] */ + /** __`.`__[**`allCols`**][ColumnsSelectionDsl.allCols] */ public interface ColumnGroupName - /** [**Before**][ColumnsSelectionDsl.allColsBefore] */ + /** [**`Before`**][ColumnsSelectionDsl.allColsBefore] */ public interface Before - /** [**After**][ColumnsSelectionDsl.allAfter] */ + /** [**`After`**][ColumnsSelectionDsl.allAfter] */ public interface After - /** [**From**][ColumnsSelectionDsl.allColsFrom] */ + /** [**`From`**][ColumnsSelectionDsl.allColsFrom] */ public interface From - /** [**UpTo**][ColumnsSelectionDsl.allColsUpTo] */ + /** [**`UpTo`**][ColumnsSelectionDsl.allColsUpTo] */ public interface UpTo } /** * #### Flavors of All (Cols): * - * - [all(Cols)][ColumnsSelectionDsl.allCols]`()`: + * - [`all(Cols)`][ColumnsSelectionDsl.allCols]`()`: * All columns * - * - [all(Cols)Before][ColumnsSelectionDsl.allColsBefore]`(column)`: + * - [`all(Cols)Before`][ColumnsSelectionDsl.allColsBefore]`(column)`: * All columns before the specified column, excluding that column * - * - [all(Cols)After][ColumnsSelectionDsl.allColsAfter]`(column)`: + * - [`all(Cols)After`][ColumnsSelectionDsl.allColsAfter]`(column)`: * All columns after the specified column, excluding that column * - * - [all(Cols)From][ColumnsSelectionDsl.allColsFrom]`(column)`: + * - [`all(Cols)From`][ColumnsSelectionDsl.allColsFrom]`(column)`: * All columns from the specified column, including that column * - * - [all(Cols)UpTo][ColumnsSelectionDsl.allColsUpTo]`(column)`: + * - [`all(Cols)UpTo`][ColumnsSelectionDsl.allColsUpTo]`(column)`: * All columns up to the specified column, including that column */ @ExcludeFromSources @@ -188,11 +188,11 @@ public interface AllColumnsSelectionDsl { * * #### For example: * - * `df.`[select][DataFrame.select]` { `[{@get [FunctionArg]}][ColumnsSelectionDsl.{@get [FunctionArg]}]`("someColumn") }` + * `df.`[select][DataFrame.select]` { `[{@get [FunctionArg]}][ColumnsSelectionDsl.{@get [FunctionArg]}]`("someColumn") }` * - * `df.`[select][DataFrame.select]` { `[colGroup][ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[{@get [FunctionColsArg]}][SingleColumn.{@get [FunctionColsArg]}]`(someColumn) }` + * `df.`[select][DataFrame.select]` { `[colGroup][ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[{@get [FunctionColsArg]}][SingleColumn.{@get [FunctionColsArg]}]`(someColumn) }` * - * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[{@get [FunctionArg]}][ColumnSet.{@get [FunctionArg]}]`(Type::someColumn) }` + * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>().`[{@get [FunctionArg]}][ColumnSet.{@get [FunctionArg]}]`(Type::someColumn) }` * * #### Examples for this overload: * @@ -253,7 +253,7 @@ public interface AllColumnsSelectionDsl { * ### Check out: [Grammar] * * #### For example: - * `df.`[move][DataFrame.move]` { `[all][ColumnsSelectionDsl.all]`() }.`[under][MoveClause.under]`("info")` + * `df.`[move][DataFrame.move]` { `[all][ColumnsSelectionDsl.all]`() }.`[under][MoveClause.under]`("info")` * * `df.`[select][DataFrame.select]` { myGroup.`[allCols][SingleColumn.allCols]`() }` * @@ -282,7 +282,7 @@ public interface AllColumnsSelectionDsl { * @include [CommonAllDocs] * @set [CommonAllDocs.Examples] * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { "a" in `[name][ColumnWithPath.name]` }.`[all][ColumnSet.all]`() }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { "a" in `[name][ColumnWithPath.name]` }.`[all][ColumnSet.all]`() }` * {@include [LineBreak]} * NOTE: This is an identity call and can be omitted in most cases. */ @@ -294,7 +294,7 @@ public interface AllColumnsSelectionDsl { * @include [CommonAllDocs] * @set [CommonAllDocs.Examples] * - * `df.`[select][DataFrame.select]` { `[all][ColumnsSelectionDsl.all]`() }` + * `df.`[select][DataFrame.select]` { `[all][ColumnsSelectionDsl.all]`() }` */ public fun ColumnsSelectionDsl<*>.all(): TransformableColumnSet<*> = asSingleColumn().allColumnsInternal() @@ -355,7 +355,7 @@ public interface AllColumnsSelectionDsl { * @include [AllAfterDocs] * @set [CommonAllSubsetDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[allAfter][ColumnSet.allAfter]`{@get [ColumnSetAllAfterDocs.Arg]} }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[allAfter][ColumnSet.allAfter]`{@get [ColumnSetAllAfterDocs.Arg]} }` */ @ExcludeFromSources private interface ColumnSetAllAfterDocs { @@ -390,7 +390,7 @@ public interface AllColumnsSelectionDsl { * @include [AllAfterDocs] * @set [CommonAllSubsetDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`{@get [ColumnsSelectionDslAllAfterDocs.Arg]} }` + * `df.`[select][DataFrame.select]` { `[allAfter][ColumnsSelectionDsl.allAfter]`{@get [ColumnsSelectionDslAllAfterDocs.Arg]} }` */ @ExcludeFromSources private interface ColumnsSelectionDslAllAfterDocs { @@ -602,7 +602,7 @@ public interface AllColumnsSelectionDsl { * @include [AllFromDocs] * @set [CommonAllSubsetDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[allFrom][ColumnSet.allFrom]`{@get [ColumnSetAllFromDocs.Arg]} }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[allFrom][ColumnSet.allFrom]`{@get [ColumnSetAllFromDocs.Arg]} }` */ @ExcludeFromSources private interface ColumnSetAllFromDocs { @@ -637,7 +637,7 @@ public interface AllColumnsSelectionDsl { * @include [AllFromDocs] * @set [CommonAllSubsetDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`{@get [ColumnsSelectionDslAllFromDocs.Arg]} }` + * `df.`[select][DataFrame.select]` { `[allFrom][ColumnsSelectionDsl.allFrom]`{@get [ColumnsSelectionDslAllFromDocs.Arg]} }` */ @ExcludeFromSources private interface ColumnsSelectionDslAllFromDocs { @@ -849,7 +849,7 @@ public interface AllColumnsSelectionDsl { * @include [AllBeforeDocs] * @set [CommonAllSubsetDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[allBefore][ColumnSet.allBefore]`{@get [ColumnSetAllBeforeDocs.Arg]} }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[allBefore][ColumnSet.allBefore]`{@get [ColumnSetAllBeforeDocs.Arg]} }` */ @ExcludeFromSources private interface ColumnSetAllBeforeDocs { @@ -884,7 +884,7 @@ public interface AllColumnsSelectionDsl { * @include [AllBeforeDocs] * @set [CommonAllSubsetDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`{@get [ColumnsSelectionDslAllBeforeDocs.Arg]} }` + * `df.`[select][DataFrame.select]` { `[allBefore][ColumnsSelectionDsl.allBefore]`{@get [ColumnsSelectionDslAllBeforeDocs.Arg]} }` */ @ExcludeFromSources private interface ColumnsSelectionDslAllBeforeDocs { @@ -1093,7 +1093,7 @@ public interface AllColumnsSelectionDsl { * @include [AllUpToDocs] * @set [CommonAllSubsetDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[allUpTo][ColumnSet.allUpTo]`{@get [ColumnSetAllUpToDocs.Arg]} }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[allUpTo][ColumnSet.allUpTo]`{@get [ColumnSetAllUpToDocs.Arg]} }` */ @ExcludeFromSources private interface ColumnSetAllUpToDocs { @@ -1128,7 +1128,7 @@ public interface AllColumnsSelectionDsl { * @include [AllUpToDocs] * @set [CommonAllSubsetDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allColsUpTo]`{@get [ColumnsSelectionDslAllUpToDocs.Arg]} }` + * `df.`[select][DataFrame.select]` { `[allUpTo][ColumnsSelectionDsl.allColsUpTo]`{@get [ColumnsSelectionDslAllUpToDocs.Arg]} }` */ @ExcludeFromSources private interface ColumnsSelectionDslAllUpToDocs { diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/allExcept.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/allExcept.kt index 87e2d912a..2ef996e0c 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/allExcept.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/allExcept.kt @@ -64,7 +64,7 @@ public interface AllExceptColumnsSelectionDsl { * } * * {@set [DslGrammarTemplate.PlainDslFunctionsArg] - * {@include [PlainDslName]}**` { `**{@include [DslGrammarTemplate.ColumnsSelectorRef]}**` \}`** + * {@include [PlainDslName]}**` { `**{@include [DslGrammarTemplate.ColumnsSelectorRef]}**` \}`** * * `| `{@include [PlainDslName]}**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`,`**` ..`**`)`** * } @@ -87,16 +87,16 @@ public interface AllExceptColumnsSelectionDsl { */ public interface Grammar { - /** [**allExcept**][ColumnsSelectionDsl.allExcept] */ + /** [**`allExcept`**][ColumnsSelectionDsl.allExcept] */ public interface PlainDslName - /** [**except**][ColumnsSelectionDsl.except] */ + /** [**`except`**][ColumnsSelectionDsl.except] */ public interface ColumnSetName - /** \**`.`**[**allColsExcept**][ColumnsSelectionDsl.allColsExcept] */ + /** __`.`__[**`allColsExcept`**][ColumnsSelectionDsl.allColsExcept] */ public interface ColumnGroupName - /** [**exceptNew**][ColumnsSelectionDsl.exceptNew] */ + /** [**`exceptNew`**][ColumnsSelectionDsl.exceptNew] */ public interface ColumnGroupExperimentalName } @@ -110,11 +110,11 @@ public interface AllExceptColumnsSelectionDsl { * * ### On [ColumnSets][ColumnSet] * This function can be explained the easiest with [ColumnSets][ColumnSet]. Let's say we want all - * [Int] columns apart from `age` and `height`. + * [Int] columns apart from `age` and `height`. * * We can do: * - * `df.`[select][DataFrame.select]` { `[colsOf][colsOf]`<`[Int][Int]`>() `[except][ColumnSet.except]` (age `[and][ColumnsSelectionDsl.and]` height) }` + * `df.`[select][DataFrame.select]` { `[colsOf][colsOf]`<`[Int][Int]`>() `[except][ColumnSet.except]` (age `[and][ColumnsSelectionDsl.and]` height) }` * * which will 'subtract' the [ColumnSet] created by `age `[and][ColumnsSelectionDsl.and]` height` from the [ColumnSet] created by [colsOf][colsOf]`<`[Int][Int]`>()`. * @@ -714,13 +714,13 @@ public interface AllExceptColumnsSelectionDsl { * * These produce the same result: * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]`(colGroup) `[except][ColumnSet.except]` colGroup.col }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]`(colGroup) `[except][ColumnSet.except]` colGroup.col }` * - * `df.`[select][DataFrame.select]` { colGroup `[exceptNew][SingleColumn.except]` { col } }` + * `df.`[select][DataFrame.select]` { colGroup `[exceptNew][SingleColumn.except]` { col } }` * * These functions are experimental and may be removed or changed in the future. * - * Trying these functions requires you to `@`[OptIn][OptIn]`(`[ExperimentalExceptCsDsl][ExperimentalExceptCsDsl]::class`)` first. + * Trying these functions requires you to `@`[`OptIn`][OptIn]`(`[ExperimentalExceptCsDsl][ExperimentalExceptCsDsl]`::class)` first. * * ## NOTE: * `exceptNew` will likely be renamed to `except` when the deprecated [SingleColumn.except] functions diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt index fd2c8cc14..bbf89b760 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/and.kt @@ -57,10 +57,10 @@ public interface AndColumnsSelectionDsl { */ public interface Grammar { - /** [**and**][ColumnsSelectionDsl.and] */ + /** [**`and`**][ColumnsSelectionDsl.and] */ public interface InfixName - /** \**`.`**[**and**][ColumnsSelectionDsl.and] */ + /** __`.`__[**`and`**][ColumnsSelectionDsl.and] */ public interface Name } @@ -74,19 +74,19 @@ public interface AndColumnsSelectionDsl { * * #### Examples: * - * `df.`[groupBy][DataFrame.groupBy]` { "colA" `[and][String.and]` colB }` + * `df.`[`groupBy`][DataFrame.groupBy]` { "colA" `[`and`][String.and]` colB }` * - * `df.`[select][DataFrame.select]` {` + * `df.`[`select`][DataFrame.select]` {` * - * {@include [Indent]}[colsOf][SingleColumn.colsOf]`<`[String][String]`>() `[and][ColumnSet.and]` {` + * {@include [Indent]}[`colsOf`][SingleColumn.colsOf]`<`[`String`][String]`>() `[`and`][ColumnSet.and]` {` * - * {@include [DoubleIndent]}[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[in][String.contains]` it.`[name][DataColumn.name]` }` + * {@include [DoubleIndent]}[`colsAtAnyDepth`][ColumnsSelectionDsl.colsAtAnyDepth]` { "price" `[`in`][String.contains]` it.`[`name`][DataColumn.name]` }` * * {@include [Indent]}`}` * * `}` * - * `df.`[select][DataFrame.select]` { "colC" `[and][String.and]` Type::colB `[and][KProperty.and]` "pathTo"["colC"] `[and][ColumnPath.and]` colD }` + * `df.`[`select`][DataFrame.select]` { "colC" `[`and`][String.and]` Type::colB `[`and`][KProperty.and]` "pathTo"["colC"] `[`and`][ColumnPath.and]` colD }` * * #### Example for this overload: * @@ -106,17 +106,17 @@ public interface AndColumnsSelectionDsl { * @include [CommonAndDocs] * @set [CommonAndDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { ... } `[and][ColumnsResolver.and]` `{@get [ColumnsResolverAndDocs.Argument]}` }` + * `df.`[select][DataFrame.select]` { `[`cols`][ColumnsSelectionDsl.cols]` { ... } `[`and`][ColumnsResolver.and]` `{@get [ColumnsResolverAndDocs.Argument]}` }` */ private interface ColumnsResolverAndDocs { interface Argument } - /** @include [ColumnsResolverAndDocs] {@set [ColumnsResolverAndDocs.Argument] [colsOf][SingleColumn.colsOf]`<`[Int][Int]`>()`} */ + /** @include [ColumnsResolverAndDocs] {@set [ColumnsResolverAndDocs.Argument] [`colsOf`][SingleColumn.colsOf]`<`[`Int`][Int]`>()`} */ public infix fun ColumnsResolver.and(other: ColumnsResolver): ColumnSet = ColumnsList(this, other) - /** @include [ColumnsResolverAndDocs] {@set [ColumnsResolverAndDocs.Argument] `{ colA `[/][DataColumn.div]` 2.0 `[named][ColumnReference.named]` "half colA" \}`} */ + /** @include [ColumnsResolverAndDocs] {@set [ColumnsResolverAndDocs.Argument] `{ colA `[`/`][DataColumn.div]` 2.0 `[`named`][ColumnReference.named]` "half colA" \}`} */ public infix fun ColumnsResolver.and(other: () -> ColumnsResolver): ColumnSet = this and other() /** @include [ColumnsResolverAndDocs] {@set [ColumnsResolverAndDocs.Argument] `"colB"`} */ @@ -133,17 +133,17 @@ public interface AndColumnsSelectionDsl { * @include [CommonAndDocs] * @set [CommonAndDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { "colA" `[and][String.and]` `{@get [StringAndDocs.Argument]}` }` + * `df.`[select][DataFrame.select]` { "colA" `[`and`][String.and]` `{@get [StringAndDocs.Argument]}` }` */ private interface StringAndDocs { interface Argument } - /** @include [StringAndDocs] {@set [StringAndDocs.Argument] [colsOf][SingleColumn.colsOf]`<`[Int][Int]`>()`} */ + /** @include [StringAndDocs] {@set [StringAndDocs.Argument] [`colsOf`][SingleColumn.colsOf]`<`[`Int`][Int]`>()`} */ public infix fun String.and(other: ColumnsResolver): ColumnSet<*> = toColumnAccessor() and other - /** @include [StringAndDocs] {@set [StringAndDocs.Argument] `{ colA `[/][DataColumn.div]` 2.0 `[named][ColumnReference.named]` "half colA" \}`} */ + /** @include [StringAndDocs] {@set [StringAndDocs.Argument] `{ colA `[`/`][DataColumn.div]` 2.0 `[`named`][ColumnReference.named]` "half colA" \}`} */ public infix fun String.and(other: () -> ColumnsResolver): ColumnSet<*> = toColumnAccessor() and other() /** @include [StringAndDocs] {@set [StringAndDocs.Argument] `"colB"`} */ @@ -160,17 +160,17 @@ public interface AndColumnsSelectionDsl { * @include [CommonAndDocs] * @set [CommonAndDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { Type::colA `[and][KProperty.and]` `{@get [KPropertyAndDocs.Argument]}` }` + * `df.`[select][DataFrame.select]` { Type::colA `[`and`][KProperty.and]` `{@get [KPropertyAndDocs.Argument]}` }` */ private interface KPropertyAndDocs { interface Argument } - /** @include [KPropertyAndDocs] {@set [KPropertyAndDocs.Argument] [colsOf][SingleColumn.colsOf]`<`[Int][Int]`>()`} */ + /** @include [KPropertyAndDocs] {@set [KPropertyAndDocs.Argument] [`colsOf`][SingleColumn.colsOf]`<`[`Int`][Int]`>()`} */ public infix fun KProperty.and(other: ColumnsResolver): ColumnSet = toColumnAccessor() and other - /** @include [KPropertyAndDocs] {@set [KPropertyAndDocs.Argument] `{ colA `[/][DataColumn.div]` 2.0 `[named][ColumnReference.named]` "half colA" \}`} */ + /** @include [KPropertyAndDocs] {@set [KPropertyAndDocs.Argument] `{ colA `[/][DataColumn.div]` 2.0 `[`named`][ColumnReference.named]` "half colA" \}`} */ public infix fun KProperty.and(other: () -> ColumnsResolver): ColumnSet = toColumnAccessor() and other() diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/col.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/col.kt index 579dc6f8a..822bc7889 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/col.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/col.kt @@ -63,13 +63,13 @@ public interface ColColumnsSelectionDsl { */ public interface Grammar { - /** [**col**][ColumnsSelectionDsl.col] */ + /** [**`col`**][ColumnsSelectionDsl.col] */ public interface PlainDslName - /** \**`.`**[**col**][ColumnsSelectionDsl.col] */ + /** __`.`__[**`col`**][ColumnsSelectionDsl.col] */ public interface ColumnSetName - /** \**`.`**[**col**][ColumnsSelectionDsl.col] */ + /** __`.`__[**`col`**][ColumnsSelectionDsl.col] */ public interface ColumnGroupName } diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroup.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroup.kt index fb77bc5f2..46114b854 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroup.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroup.kt @@ -63,13 +63,13 @@ public interface ColGroupColumnsSelectionDsl { */ public interface Grammar { - /** [**colGroup**][ColumnsSelectionDsl.colGroup] */ + /** [**`colGroup`**][ColumnsSelectionDsl.colGroup] */ public interface PlainDslName - /** \**`.`**[**colGroup**][ColumnsSelectionDsl.colGroup] */ + /** __`.`__[**`colGroup`**][ColumnsSelectionDsl.colGroup] */ public interface ColumnSetName - /** \**`.`**[**colGroup**][ColumnsSelectionDsl.colGroup] */ + /** __`.`__[**`colGroup`**][ColumnsSelectionDsl.colGroup] */ public interface ColumnGroupName } diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroups.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroups.kt index 2f98d674d..70c9bc0fc 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroups.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colGroups.kt @@ -45,26 +45,26 @@ public interface ColGroupsColumnsSelectionDsl { * } * * {@set [DslGrammarTemplate.PlainDslFunctionsArg] - * {@include [PlainDslName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [PlainDslName]}` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * } * * {@set [DslGrammarTemplate.ColumnSetFunctionsArg] - * {@include [Indent]}{@include [ColumnSetName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}{@include [ColumnSetName]}` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * } * * {@set [DslGrammarTemplate.ColumnGroupFunctionsArg] - * {@include [Indent]}{@include [ColumnGroupName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}{@include [ColumnGroupName]}` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * } */ public interface Grammar { - /** [**colGroups**][ColumnsSelectionDsl.colGroups] */ + /** [**`colGroups`**][ColumnsSelectionDsl.colGroups] */ public interface PlainDslName - /** \**`.`**[**colGroups**][ColumnsSelectionDsl.colGroups] */ + /** __`.`__[**`colGroups`**][ColumnsSelectionDsl.colGroups] */ public interface ColumnSetName - /** \**`.`**[**colGroups**][ColumnsSelectionDsl.colGroups] */ + /** __`.`__[**`colGroups`**][ColumnsSelectionDsl.colGroups] */ public interface ColumnGroupName } @@ -81,9 +81,9 @@ public interface ColGroupsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][DataFrame.select]` { `[colGroups][ColumnsSelectionDsl.colGroups]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[colGroups][ColumnsSelectionDsl.colGroups]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]`().`[colGroups][ColumnsSelectionDsl.colGroups]`() }` + * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]`().`[colGroups][ColumnsSelectionDsl.colGroups]`() }` * * `df.`[select][DataFrame.select]` { "myColGroup".`[colGroups][String.colGroups]`() }` * @@ -108,11 +108,11 @@ public interface ColGroupsColumnsSelectionDsl { * @include [CommonColGroupsDocs] * @set [CommonColGroupsDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") }.`[colGroups][ColumnSet.colGroups]`() }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") }.`[colGroups][ColumnSet.colGroups]`() }` * * `// NOTE: This can be shortened to just:` * - * `df.`[select][DataFrame.select]` { `[colGroups][ColumnsSelectionDsl.colGroups]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[colGroups][ColumnsSelectionDsl.colGroups]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` */ public fun ColumnSet<*>.colGroups(filter: Predicate> = { true }): TransformableColumnSet = columnGroupsInternal(filter) @@ -121,9 +121,9 @@ public interface ColGroupsColumnsSelectionDsl { * @include [CommonColGroupsDocs] * @set [CommonColGroupsDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[colGroups][ColumnsSelectionDsl.colGroups]`() }` + * `df.`[select][DataFrame.select]` { `[colGroups][ColumnsSelectionDsl.colGroups]`() }` * - * `df.`[select][DataFrame.select]` { `[colGroups][ColumnsSelectionDsl.colGroups]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[colGroups][ColumnsSelectionDsl.colGroups]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` */ public fun ColumnsSelectionDsl<*>.colGroups(filter: Predicate> = { true }): TransformableColumnSet = asSingleColumn().columnGroupsInternal(filter) @@ -154,7 +154,7 @@ public interface ColGroupsColumnsSelectionDsl { * @include [CommonColGroupsDocs] * @set [CommonColGroupsDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[colGroup][ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[colGroups][SingleColumn.colGroups]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[colGroup][ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[colGroups][SingleColumn.colGroups]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * * `df.`[select][DataFrame.select]` { DataSchemaType::myColGroup.`[colGroups][KProperty.colGroups]`() }` */ diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/cols.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/cols.kt index 92b7e8895..159e174b8 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/cols.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/cols.kt @@ -53,29 +53,29 @@ public interface ColsColumnsSelectionDsl { * } * * {@set [DslGrammarTemplate.PlainDslFunctionsArg] - * {@include [PlainDslName]}`[`**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**`]`**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`,`**` .. | `{@include [DslGrammarTemplate.IndexRef]}**`,`**` .. | `{@include [DslGrammarTemplate.IndexRangeRef]}**`)`** + * {@include [PlainDslName]}`[`**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**`]`**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`,`**` .. | `{@include [DslGrammarTemplate.IndexRef]}**`,`**` .. | `{@include [DslGrammarTemplate.IndexRangeRef]}**`)`** * - * `|` {@include [PlainDslName]}` [ `**` { `**{@include [DslGrammarTemplate.ConditionRef]}**` \} `**`]` + * `| `{@include [PlainDslName]}` [ `**` { `**{@include [DslGrammarTemplate.ConditionRef]}**` \} `**`]` * - * `|` **`this`**`/`**`it`** [**`[`**][cols]**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**[**`]`**][cols] + * `| `**`this`**`/`**`it `**[**`[`**][cols]**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**[**`]`**][cols] * - * `|` **`this`**`/`**`it`** [**`[`**][cols]{@include [DslGrammarTemplate.ColumnRef]}**`,`**` .. `[**`]`**][cols] + * `| `**`this`**`/`**`it `**[**`[`**][cols]{@include [DslGrammarTemplate.ColumnRef]}**`,`**` .. `[**`]`**][cols] * } * * {@set [DslGrammarTemplate.ColumnSetFunctionsArg] - * {@include [Indent]}{@include [ColumnSetName]}**`(`**{@include [DslGrammarTemplate.IndexRef]}**`,`**` .. | `{@include [DslGrammarTemplate.IndexRangeRef]}**`)`** + * {@include [Indent]}{@include [ColumnSetName]}**`(`**{@include [DslGrammarTemplate.IndexRef]}**`,`**` .. | `{@include [DslGrammarTemplate.IndexRangeRef]}**`)`** * - * {@include [Indent]}`| `{@include [ColumnSetName]}` [ `**` { `**{@include [DslGrammarTemplate.ConditionRef]}**` \} `**`]` + * {@include [Indent]}`| `{@include [ColumnSetName]}` [ `**` { `**{@include [DslGrammarTemplate.ConditionRef]}**` \} `**`]` * * {@include [Indent]}`| `[**`[`**][cols]**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**[**`]`**][cols] * - * {@include [Indent]}`| `[**`[`**][cols]{@include [DslGrammarTemplate.IndexRef]}**`,`**` .. | `{@include [DslGrammarTemplate.IndexRangeRef]}[**`]`**][cols]` + * {@include [Indent]}`| `[**`[`**][cols]{@include [DslGrammarTemplate.IndexRef]}**`,`**` .. | `{@include [DslGrammarTemplate.IndexRangeRef]}[**`]`**][cols]` * } * * {@set [DslGrammarTemplate.ColumnGroupFunctionsArg] - * {@include [Indent]}{@include [ColumnGroupName]}`[`**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**`]`**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`,`**` .. | `{@include [DslGrammarTemplate.IndexRef]}**`,`**` .. | `{@include [DslGrammarTemplate.IndexRangeRef]}**`)`** + * {@include [Indent]}{@include [ColumnGroupName]}`[`**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**`]`**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`,`**` .. | `{@include [DslGrammarTemplate.IndexRef]}**`,`**` .. | `{@include [DslGrammarTemplate.IndexRangeRef]}**`)`** * - * {@include [Indent]}`| `{@include [ColumnGroupName]}` [ `**` { `**{@include [DslGrammarTemplate.ConditionRef]}**` \} `**`]` + * {@include [Indent]}`| `{@include [ColumnGroupName]}` [ `**` { `**{@include [DslGrammarTemplate.ConditionRef]}**` \} `**`]` * * {@include [Indent]}`| `[**`[`**][cols]**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**[**`]`**][cols] * @@ -84,13 +84,13 @@ public interface ColsColumnsSelectionDsl { */ public interface Grammar { - /** [**cols**][ColumnsSelectionDsl.cols] */ + /** [**`cols`**][ColumnsSelectionDsl.cols] */ public interface PlainDslName - /** \**`.`**[**cols**][ColumnsSelectionDsl.cols] */ + /** __`.`__[**`cols`**][ColumnsSelectionDsl.cols] */ public interface ColumnSetName - /** \**`.`**[**cols**][ColumnsSelectionDsl.cols] */ + /** __`.`__[**`cols`**][ColumnsSelectionDsl.cols] */ public interface ColumnGroupName } @@ -104,16 +104,16 @@ public interface ColsColumnsSelectionDsl { * * This function operates solely on columns at the top-level. * - * Aside from calling [cols] directly, you can also use the [get][ColumnSet.get] operator in most cases. + * Aside from calling [cols] directly, you can also use the [`get`][ColumnSet.get] operator in most cases. * * ### Check out: [Grammar] * * #### For example: - * `df.`[remove][DataFrame.remove]` { `[cols][ColumnsSelectionDsl.cols]` { it.`[hasNulls][DataColumn.hasNulls]`() } }` + * `df.`[`remove`][DataFrame.remove]` { `[`cols`][ColumnsSelectionDsl.cols]` { it.`[`hasNulls`][DataColumn.hasNulls]`() } }` * - * `df.`[select][DataFrame.select]` { myGroupCol.`[cols][SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][DataFrame.select]` { myGroupCol.`[`cols`][SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][ColumnSet.cols]`1, 3, 5`[`]`][ColumnSet.cols]` }` + * `df.`[`select`][DataFrame.select]` { `[`colsOf`][ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][ColumnSet.cols]`1, 3, 5`[`]`][ColumnSet.cols]` }` * * #### Examples for this overload: * @@ -168,11 +168,11 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][DataFrame.select]` { `[cols][SingleColumn.cols]`(1, 3, 2) }` + * `df.`[`select`][DataFrame.select]` { `[`cols`][SingleColumn.cols]`(1, 3, 2) }` * - * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][SingleColumn.get]`5, 1, 2`[`]`][SingleColumn.get]` }` + * `df.`[`select`][DataFrame.select]` { `[`colsOf`][ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][SingleColumn.get]`5, 1, 2`[`]`][SingleColumn.get]` }` * - * `df.`[select][DataFrame.select]` { "myColumnGroup".`[cols][String.cols]`(0, 2) }` + * `df.`[`select`][DataFrame.select]` { "myColumnGroup".`[`cols`][String.cols]`(0, 2) }` * * #### Examples for this overload: * @@ -199,11 +199,11 @@ public interface ColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][DataFrame.select]` { `[cols][SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][DataFrame.select]` { `[`cols`][SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>()`[`[`][ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][ColumnSet.cols]` }` + * `df.`[`select`][DataFrame.select]` { `[`colsOf`][ColumnsSelectionDsl.colsOf]`<`[`Int`][Int]`>()`[`[`][ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][ColumnSet.cols]` }` * - * `df.`[select][DataFrame.select]` { "myColGroup".`[cols][String.cols]`(0`[`..`][Int.rangeTo]`2) }` + * `df.`[`select`][DataFrame.select]` { "myColGroup".`[`cols`][String.cols]`(0`[`..`][Int.rangeTo]`2) }` * * #### Examples for this overload: * @@ -226,15 +226,15 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsDocs.Predicate] * @set [CommonColsDocs.Examples] * - * `// although these can be shortened to just the `[colsOf<>{ }][ColumnsSelectionDsl.colsOf]` call` + * `// although these can be shortened to just the `[`colsOf<>{ }`][ColumnsSelectionDsl.colsOf]` call` * - * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[String][String]`>().`[cols][ColumnSet.cols]` { "e" `[in\][String.contains\]` it.`[name][ColumnPath.name]`() } }` + * `df.`[`select`][DataFrame.select]` { `[`colsOf`][ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>().`[`cols`][ColumnSet.cols]` { "e" `[`in`\][String.contains\]` it.`[`name`][ColumnPath.name]`() } }` * - * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[String][String]`>()`[`[`][ColumnSet.cols]`{ it.`[any][ColumnWithPath.any]` { it == "Alice" } }`[`]`][ColumnSet.cols]` }` + * `df.`[`select`][DataFrame.select]` { `[`colsOf`][ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>()`[`[`][ColumnSet.cols]`{ it.`[`any`][ColumnWithPath.any]` { it == "Alice" } }`[`]`][ColumnSet.cols]` }` * - * `// identity call, same as `[all][ColumnsSelectionDsl.all]`()` + * `// identity call, same as `[`all`][ColumnsSelectionDsl.all]`()` * - * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[String][String]`>().`[cols][ColumnSet.cols]`() }` + * `df.`[`select`][DataFrame.select]` { `[`colsOf`][ColumnsSelectionDsl.colsOf]`<`[`String`][String]`>().`[`cols`][ColumnSet.cols]`() }` * * @see [ColumnsSelectionDsl.all\] * @see [ColumnsSelectionDsl.filter\] @@ -256,13 +256,13 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsDocs.Predicate] * @set [CommonColsDocs.Examples] * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { "e" `[in\][String.contains\]` it.`[name][ColumnPath.name]`() } }` + * `df.`[`select`][DataFrame.select]` { `[`cols`][ColumnsSelectionDsl.cols]` { "e" `[`in`\][String.contains\]` it.`[`name`][ColumnPath.name]`() } }` * - * `df.`[select][DataFrame.select]` { this`[`[`][ColumnsSelectionDsl.cols]`{ it.`[any][ColumnWithPath.any]` { it == "Alice" } }`[`]`][ColumnsSelectionDsl.cols]` }` + * `df.`[`select`][DataFrame.select]` { this`[`[`][ColumnsSelectionDsl.cols]`{ it.`[`any`][ColumnWithPath.any]` { it == "Alice" } }`[`]`][ColumnsSelectionDsl.cols]` }` * - * `// same as `[all][ColumnsSelectionDsl.all]`()` + * `// same as `[`all`][ColumnsSelectionDsl.all]`()` * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]`() }` + * `df.`[`select`][DataFrame.select]` { `[`cols`][ColumnsSelectionDsl.cols]`() }` * * {@include [LineBreak]} * @@ -284,13 +284,13 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsDocs.Predicate] * @set [CommonColsDocs.Examples] * - * `df.`[select][DataFrame.select]` { myColumnGroup`.[cols][SingleColumn.cols]` { "e" `[in\][String.contains\]` it.`[name][ColumnPath.name]`() } }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup`.[`cols`][SingleColumn.cols]` { "e" `[`in`\][String.contains\]` it.`[`name`][ColumnPath.name]`() } }` * - * `// same as `[allCols][ColumnsSelectionDsl.allCols]`()` + * `// same as `[`allCols`][ColumnsSelectionDsl.allCols]`()` * - * `df.`[select][DataFrame.select]` { myColumnGroup.`[cols][SingleColumn.cols]`() }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup.`[`cols`][SingleColumn.cols]`() }` * - * `df.`[select][DataFrame.select]` { myColumnGroup`[`[`][SingleColumn.cols]`{ ... }`[`]`][SingleColumn.cols]` }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup`[`[`][SingleColumn.cols]`{ ... }`[`]`][SingleColumn.cols]` }` * {@include [LineBreak]} * * @see [ColumnsSelectionDsl.allCols\] @@ -313,13 +313,13 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsDocs.Predicate] * @set [CommonColsDocs.Examples] * - * `df.`[select][DataFrame.select]` { "myGroupCol".`[cols][String.cols]` { "e" `[in\][String.contains\]` it.`[name][ColumnPath.name]`() } }` + * `df.`[`select`][DataFrame.select]` { "myGroupCol".`[`cols`][String.cols]` { "e" `[`in`\][String.contains\]` it.`[`name`][ColumnPath.name]`() } }` * - * `df.`[select][DataFrame.select]` { "myGroupCol"`[`[`][String.cols]`{ it.`[any][ColumnWithPath.any]` { it == "Alice" } }`[`]`][String.cols]` }` + * `df.`[`select`][DataFrame.select]` { "myGroupCol"`[`[`][String.cols]`{ it.`[`any`][ColumnWithPath.any]` { it == "Alice" } }`[`]`][String.cols]` }` * - * `// same as `[allCols][ColumnsSelectionDsl.allCols]`()` + * `// same as `[`allCols`][ColumnsSelectionDsl.allCols]`()` * - * `df.`[select][DataFrame.select]` { "myGroupCol".`[cols][String.cols]`() }` + * `df.`[`select`][DataFrame.select]` { "myGroupCol".`[`cols`][String.cols]`() }` */ private interface StringColsPredicateDocs @@ -337,13 +337,13 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsDocs.Predicate] * @set [CommonColsDocs.Examples] * - * `df.`[select][DataFrame.select]` { Type::columnGroup.`[cols][KProperty.cols]` { "e" `[in\][String.contains\]` it.`[name][ColumnPath.name]`() } }` + * `df.`[`select`][DataFrame.select]` { Type::columnGroup.`[`cols`][KProperty.cols]` { "e" `[`in`\][String.contains\]` it.`[`name`][ColumnPath.name]`() } }` * - * `df.`[select][DataFrame.select]` { Type::columnGroup`[`[`][SingleColumn.cols]`{ it.`[any][ColumnWithPath.any]` { it == "Alice" } }`[`]`][SingleColumn.cols]` }` + * `df.`[`select`][DataFrame.select]` { Type::columnGroup`[`[`][SingleColumn.cols]`{ it.`[`any`][ColumnWithPath.any]` { it == "Alice" } }`[`]`][SingleColumn.cols]` }` * - * `// same as `[allCols][ColumnsSelectionDsl.allCols]`()` + * `// same as `[`allCols`][ColumnsSelectionDsl.allCols]`()` * - * `df.`[select][DataFrame.select]` { Type::columnGroup.`[cols][SingleColumn.cols]`() }` + * `df.`[`select`][DataFrame.select]` { Type::columnGroup.`[`cols`][SingleColumn.cols]`() }` * * @see [ColumnsSelectionDsl.allCols\] */ @@ -363,11 +363,11 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsDocs.Predicate] * @set [CommonColsDocs.Examples] * - * `df.`[select][DataFrame.select]` { "pathTo"["myGroupCol"].`[cols][ColumnPath.cols]` { "e" `[in\][String.contains\]` it.`[name][ColumnPath.name]`() } }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["myGroupCol"].`[`cols`][ColumnPath.cols]` { "e" `[`in`\][String.contains\]` it.`[`name`][ColumnPath.name]`() } }` * - * `df.`[select][DataFrame.select]` { "pathTo"["myGroupCol"]`[`[`][ColumnPath.cols]`{ it.`[any][ColumnWithPath.any]` { it == "Alice" } }`[`]`][ColumnPath.cols]` }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["myGroupCol"]`[`[`][ColumnPath.cols]`{ it.`[`any`][ColumnWithPath.any]` { it == "Alice" } }`[`]`][ColumnPath.cols]` }` * - * `df.`[select][DataFrame.select]` { "pathTo"["myGroupCol"].`[cols][ColumnPath.cols]`() } // identity call, same as `[allCols][ColumnsSelectionDsl.allCols] + * `df.`[`select`][DataFrame.select]` { "pathTo"["myGroupCol"].`[`cols`][ColumnPath.cols]`() } // identity call, same as `[`allCols`][ColumnsSelectionDsl.allCols] */ private interface ColumnPathPredicateDocs @@ -389,9 +389,9 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsDocs.Vararg] {@set [CommonColsDocs.Vararg.AccessorType] [ColumnReference]} * @set [CommonColsDocs.Examples] * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]`(colGroup.columnA, columnB) }` + * `df.`[`select`][DataFrame.select]` { `[`cols`][ColumnsSelectionDsl.cols]`(colGroup.columnA, columnB) }` * - * `df.`[select][DataFrame.select]` { this`[`[`][ColumnsSelectionDsl.cols]`colGroup.columnA, columnB`[`]`][ColumnsSelectionDsl.cols]` }` + * `df.`[`select`][DataFrame.select]` { this`[`[`][ColumnsSelectionDsl.cols]`colGroup.columnA, columnB`[`]`][ColumnsSelectionDsl.cols]` }` */ private interface ColumnsSelectionDslColsVarargColumnReferenceDocs @@ -411,9 +411,9 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsDocs.Vararg] {@set [CommonColsDocs.Vararg.AccessorType] [ColumnReference]} * @set [CommonColsDocs.Examples] * - * `df.`[select][DataFrame.select]` { myColumnGroup.`[cols][SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup.`[`cols`][SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][DataFrame.select]` { myColumnGroup`[`[`][SingleColumn.cols]`columnA, columnB`[`]`][SingleColumn.cols]` }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup`[`[`][SingleColumn.cols]`columnA, columnB`[`]`][SingleColumn.cols]` }` */ private interface SingleColumnColsVarargColumnReferenceDocs @@ -435,9 +435,9 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsDocs.Vararg] {@set [CommonColsDocs.Vararg.AccessorType] [ColumnReference]} * @set [CommonColsDocs.Examples] * - * `df.`[select][DataFrame.select]` { "myColumnGroup".`[cols][String.cols]`(columnA, columnB) }` + * `df.`[`select`][DataFrame.select]` { "myColumnGroup".`[`cols`][String.cols]`(columnA, columnB) }` * - * `df.`[select][DataFrame.select]` { "myColumnGroup"`[`[`][String.cols]`columnA, columnB`[`]`][String.cols]` }` + * `df.`[`select`][DataFrame.select]` { "myColumnGroup"`[`[`][String.cols]`columnA, columnB`[`]`][String.cols]` }` */ private interface StringColsVarargColumnReferenceDocs @@ -457,9 +457,9 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsDocs.Vararg] {@set [CommonColsDocs.Vararg.AccessorType] [ColumnReference]} * @set [CommonColsDocs.Examples] * - * `df.`[select][DataFrame.select]` { Type::myColumnGroup.`[cols][SingleColumn.cols]`(columnA, columnB) }` + * `df.`[`select`][DataFrame.select]` { Type::myColumnGroup.`[`cols`][SingleColumn.cols]`(columnA, columnB) }` * - * `df.`[select][DataFrame.select]` { DataSchemaType::myColumnGroup`[`[`][KProperty.cols]`"pathTo"["colA"], "pathTo"["colB"]`[`]`][KProperty.cols]` }` + * `df.`[`select`][DataFrame.select]` { DataSchemaType::myColumnGroup`[`[`][KProperty.cols]`"pathTo"["colA"], "pathTo"["colB"]`[`]`][KProperty.cols]` }` */ private interface KPropertyColsVarargColumnReferenceDocs @@ -479,11 +479,11 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsDocs.Vararg] {@set [CommonColsDocs.Vararg.AccessorType] [ColumnReference]} * @set [CommonColsDocs.Examples] * - * `df.`[select][DataFrame.select]` { "pathTo"["columnGroup"].`[cols][ColumnPath.cols]`(columnA, columnB) }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["columnGroup"].`[`cols`][ColumnPath.cols]`(columnA, columnB) }` * - * `df.`[select][DataFrame.select]` { "pathTo"["columnGroup"].`[cols][ColumnPath.cols]`("pathTo"["colA"], "pathTo"["colB"]) }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["columnGroup"].`[`cols`][ColumnPath.cols]`("pathTo"["colA"], "pathTo"["colB"]) }` * - * `df.`[select][DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][ColumnPath.cols]`columnA, columnB`[`]`][ColumnPath.cols]` }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][ColumnPath.cols]`columnA, columnB`[`]`][ColumnPath.cols]` }` */ private interface ColumnPathColsVarargColumnReferenceDocs @@ -507,11 +507,11 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsDocs.Vararg] {@set [CommonColsDocs.Vararg.AccessorType] [String]} * @set [CommonColsDocs.Examples] * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]`("columnA", "columnB") }` + * `df.`[`select`][DataFrame.select]` { `[`cols`][ColumnsSelectionDsl.cols]`("columnA", "columnB") }` * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]`<`[String][String]`>("columnA", "columnB") }` + * `df.`[`select`][DataFrame.select]` { `[`cols`][ColumnsSelectionDsl.cols]`<`[`String`][String]`>("columnA", "columnB") }` * - * `df.`[select][DataFrame.select]` { this`[`[`][ColumnsSelectionDsl.cols]`"columnA", "columnB"`[`]`][ColumnsSelectionDsl.cols]` }` + * `df.`[`select`][DataFrame.select]` { this`[`[`][ColumnsSelectionDsl.cols]`"columnA", "columnB"`[`]`][ColumnsSelectionDsl.cols]` }` */ private interface ColumnsSelectionDslVarargStringDocs @@ -539,9 +539,9 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsDocs.Vararg] {@set [CommonColsDocs.Vararg.AccessorType] [String]} * @set [CommonColsDocs.Examples] * - * `df.`[select][DataFrame.select]` { myColumnGroup.`[cols][SingleColumn.cols]`("columnA", "columnB") }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup.`[`cols`][SingleColumn.cols]`("columnA", "columnB") }` * - * `df.`[select][DataFrame.select]` { myColumnGroup`[`[`][SingleColumn.cols]`"columnA", "columnB"`[`]`][SingleColumn.cols]` }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup`[`[`][SingleColumn.cols]`"columnA", "columnB"`[`]`][SingleColumn.cols]` }` */ private interface SingleColumnColsVarargStringDocs @@ -571,9 +571,9 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsDocs.Vararg] {@set [CommonColsDocs.Vararg.AccessorType] [String]} * @set [CommonColsDocs.Examples] * - * `df.`[select][DataFrame.select]` { "columnGroup".`[cols][String.cols]`("columnA", "columnB") }` + * `df.`[`select`][DataFrame.select]` { "columnGroup".`[`cols`][String.cols]`("columnA", "columnB") }` * - * `df.`[select][DataFrame.select]` { "columnGroup"`[`[`][String.cols]`"columnA", "columnB"`[`]`][String.cols]` }` + * `df.`[`select`][DataFrame.select]` { "columnGroup"`[`[`][String.cols]`"columnA", "columnB"`[`]`][String.cols]` }` */ private interface StringColsVarargStringDocs @@ -601,9 +601,9 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsDocs.Vararg] {@set [CommonColsDocs.Vararg.AccessorType] [String]} * @set [CommonColsDocs.Examples] * - * `df.`[select][DataFrame.select]` { Type::myColumnGroup.`[cols][KProperty.cols]`("columnA", "columnB") }` + * `df.`[`select`][DataFrame.select]` { Type::myColumnGroup.`[`cols`][KProperty.cols]`("columnA", "columnB") }` * - * `df.`[select][DataFrame.select]` { DataSchemaType::myColumnGroup`[`[`][KProperty.cols]`"columnA", "columnB"`[`]`][KProperty.cols]` }` + * `df.`[`select`][DataFrame.select]` { DataSchemaType::myColumnGroup`[`[`][KProperty.cols]`"columnA", "columnB"`[`]`][KProperty.cols]` }` */ private interface KPropertiesColsVarargStringDocs @@ -631,9 +631,9 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsDocs.Vararg] {@set [CommonColsDocs.Vararg.AccessorType] [String]} * @set [CommonColsDocs.Examples] * - * `df.`[select][DataFrame.select]` { "pathTo"["columnGroup"].`[cols][ColumnPath.cols]`("columnA", "columnB") }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["columnGroup"].`[`cols`][ColumnPath.cols]`("columnA", "columnB") }` * - * `df.`[select][DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][ColumnPath.cols]`"columnA", "columnB"`[`]`][ColumnPath.cols]` }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][ColumnPath.cols]`"columnA", "columnB"`[`]`][ColumnPath.cols]` }` */ private interface ColumnPathColsVarargStringDocs @@ -665,11 +665,11 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsDocs.Vararg] {@set [CommonColsDocs.Vararg.AccessorType] [String]} * @set [CommonColsDocs.Examples] * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][DataFrame.select]` { `[`cols`][ColumnsSelectionDsl.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]`<`[String][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][DataFrame.select]` { `[`cols`][ColumnsSelectionDsl.cols]`<`[`String`][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][DataFrame.select]` { this`[`[`][ColumnsSelectionDsl.cols]`"pathTo"["colA"], "pathTo"["colB"])`[`]`][ColumnsSelectionDsl.cols]` }` + * `df.`[`select`][DataFrame.select]` { this`[`[`][ColumnsSelectionDsl.cols]`"pathTo"["colA"], "pathTo"["colB"])`[`]`][ColumnsSelectionDsl.cols]` }` */ private interface ColumnsSelectionDslVarargColumnPathDocs @@ -697,11 +697,11 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsDocs.Vararg] {@set [CommonColsDocs.Vararg.AccessorType] [ColumnPath]} * @set [CommonColsDocs.Examples] * - * `df.`[select][DataFrame.select]` { myColumnGroup.`[cols][SingleColumn.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup.`[`cols`][SingleColumn.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][DataFrame.select]` { myColumnGroup.`[cols][SingleColumn.cols]`<`[String][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup.`[`cols`][SingleColumn.cols]`<`[`String`][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][DataFrame.select]` { myColumnGroup`[`[`][SingleColumn.cols]`"pathTo"["colA"], "pathTo"["colB"])`[`]`][SingleColumn.cols]` }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup`[`[`][SingleColumn.cols]`"pathTo"["colA"], "pathTo"["colB"])`[`]`][SingleColumn.cols]` }` */ private interface SingleColumnColsVarargColumnPathDocs @@ -731,11 +731,11 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsDocs.Vararg] {@set [CommonColsDocs.Vararg.AccessorType] [ColumnPath]} * @set [CommonColsDocs.Examples] * - * `df.`[select][DataFrame.select]` { "columnGroup".`[cols][String.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][DataFrame.select]` { "columnGroup".`[`cols`][String.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][DataFrame.select]` { "columnGroup".`[cols][String.cols]`<`[String][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][DataFrame.select]` { "columnGroup".`[`cols`][String.cols]`<`[`String`][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][DataFrame.select]` { "columnGroup"`[`[`][String.cols]`""pathTo"["colA"], "pathTo"["colB"])`[`]`][ColumnPath.cols]` }` + * `df.`[`select`][DataFrame.select]` { "columnGroup"`[`[`][String.cols]`""pathTo"["colA"], "pathTo"["colB"])`[`]`][ColumnPath.cols]` }` */ private interface StringColsVarargColumnPathDocs @@ -763,11 +763,11 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsDocs.Vararg] {@set [CommonColsDocs.Vararg.AccessorType] [ColumnPath]} * @set [CommonColsDocs.Examples] * - * `df.`[select][DataFrame.select]` { Type::myColumnGroup.`[cols][KProperty.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][DataFrame.select]` { Type::myColumnGroup.`[`cols`][KProperty.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][DataFrame.select]` { Type::myColumnGroup.`[cols][KProperty.cols]`<`[String][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][DataFrame.select]` { Type::myColumnGroup.`[`cols`][KProperty.cols]`<`[`String`][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][DataFrame.select]` { DataSchemaType::myColumnGroup`[`[`][KProperty.cols]`"columnA", "columnB"`[`]`][KProperty.cols]` }` + * `df.`[`select`][DataFrame.select]` { DataSchemaType::myColumnGroup`[`[`][KProperty.cols]`"columnA", "columnB"`[`]`][KProperty.cols]` }` */ private interface KPropertiesColsVarargColumnPathDocs @@ -795,11 +795,11 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsDocs.Vararg] {@set [CommonColsDocs.Vararg.AccessorType] [ColumnPath]} * @set [CommonColsDocs.Examples] * - * `df.`[select][DataFrame.select]` { "pathTo"["columnGroup"].`[cols][ColumnPath.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["columnGroup"].`[`cols`][ColumnPath.cols]`("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][DataFrame.select]` { "pathTo"["columnGroup"].`[cols][ColumnPath.cols]`<`[String][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["columnGroup"].`[`cols`][ColumnPath.cols]`<`[`String`][String]`>("pathTo"["colA"], "pathTo"["colB"])) }` * - * `df.`[select][DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][ColumnPath.cols]`"pathTo"["colA"], "pathTo"["colB"])`[`]`][ColumnPath.cols]` }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][ColumnPath.cols]`"pathTo"["colA"], "pathTo"["colB"])`[`]`][ColumnPath.cols]` }` */ private interface ColumnPathColsVarargColumnPathDocs @@ -831,9 +831,9 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsDocs.Vararg] {@set [CommonColsDocs.Vararg.AccessorType] [KProperty]} * @set [CommonColsDocs.Examples] * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]`(Type::colA, Type::colB) }` + * `df.`[`select`][DataFrame.select]` { `[`cols`][ColumnsSelectionDsl.cols]`(Type::colA, Type::colB) }` * - * `df.`[select][DataFrame.select]` { this`[`[`][ColumnsSelectionDsl.cols]`Type::colA, Type::colB`[`]`][ColumnsSelectionDsl.cols]` }` + * `df.`[`select`][DataFrame.select]` { this`[`[`][ColumnsSelectionDsl.cols]`Type::colA, Type::colB`[`]`][ColumnsSelectionDsl.cols]` }` */ private interface ColumnsSelectionDslColsVarargKPropertyDocs @@ -853,9 +853,9 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsDocs.Vararg] {@set [CommonColsDocs.Vararg.AccessorType] [KProperty]} * @set [CommonColsDocs.Examples] * - * `df.`[select][DataFrame.select]` { myColumnGroup.`[cols][SingleColumn.cols]`(Type::colA, Type::colB) }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup.`[`cols`][SingleColumn.cols]`(Type::colA, Type::colB) }` * - * `df.`[select][DataFrame.select]` { myColumnGroup`[`[`][SingleColumn.cols]`Type::colA, Type::colB`[`]`][SingleColumn.cols]` }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup`[`[`][SingleColumn.cols]`Type::colA, Type::colB`[`]`][SingleColumn.cols]` }` */ private interface SingleColumnColsVarargKPropertyDocs @@ -875,9 +875,9 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsDocs.Vararg] {@set [CommonColsDocs.Vararg.AccessorType] [KProperty]} * @set [CommonColsDocs.Examples] * - * `df.`[select][DataFrame.select]` { "myColumnGroup".`[cols][String.cols]`(Type::colA, Type::colB) }` + * `df.`[`select`][DataFrame.select]` { "myColumnGroup".`[`cols`][String.cols]`(Type::colA, Type::colB) }` * - * `df.`[select][DataFrame.select]` { "myColumnGroup"`[`[`][String.cols]`Type::colA, Type::colB`[`]`][String.cols]` }` + * `df.`[`select`][DataFrame.select]` { "myColumnGroup"`[`[`][String.cols]`Type::colA, Type::colB`[`]`][String.cols]` }` */ private interface StringColsVarargKPropertyDocs @@ -897,9 +897,9 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsDocs.Vararg] {@set [CommonColsDocs.Vararg.AccessorType] [KProperty]} * @set [CommonColsDocs.Examples] * - * `df.`[select][DataFrame.select]` { Type::myColumnGroup.`[cols][SingleColumn.cols]`(Type::colA, Type::colB) }` + * `df.`[`select`][DataFrame.select]` { Type::myColumnGroup.`[`cols`][SingleColumn.cols]`(Type::colA, Type::colB) }` * - * `df.`[select][DataFrame.select]` { Type::myColumnGroup`[`[`][SingleColumn.cols]`Type::colA, Type::colB`[`]`][SingleColumn.cols]` }` + * `df.`[`select`][DataFrame.select]` { Type::myColumnGroup`[`[`][SingleColumn.cols]`Type::colA, Type::colB`[`]`][SingleColumn.cols]` }` */ private interface KPropertyColsVarargKPropertyDocs @@ -919,9 +919,9 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsDocs.Vararg] {@set [CommonColsDocs.Vararg.AccessorType] [KProperty]} * @set [CommonColsDocs.Examples] * - * `df.`[select][DataFrame.select]` { "pathTo"["columnGroup"].`[cols][ColumnPath.cols]`(Type::colA, Type::colB) }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["columnGroup"].`[`cols`][ColumnPath.cols]`(Type::colA, Type::colB) }` * - * `df.`[select][DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][ColumnPath.cols]`Type::colA, Type::colB`[`]`][ColumnPath.cols]` }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["columnGroup"]`[`[`][ColumnPath.cols]`Type::colA, Type::colB`[`]`][ColumnPath.cols]` }` */ private interface ColumnPathColsVarargKPropertyDocs @@ -945,9 +945,9 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsIndicesDocs] * @set [CommonColsIndicesDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[cols][ColumnSet.cols]`(1, 3) }` + * `df.`[`select`][DataFrame.select]` { `[`colsOf`][SingleColumn.colsOf]`<`[`Int`][Int]`>().`[`cols`][ColumnSet.cols]`(1, 3) }` * - * `df.`[select][DataFrame.select]` { `[all][ColumnsSelectionDsl.all]`()`[`[`][ColumnSet.cols]`5, 1`[`]`][ColumnSet.cols]` }` + * `df.`[`select`][DataFrame.select]` { `[`all`][ColumnsSelectionDsl.all]`()`[`[`][ColumnSet.cols]`5, 1`[`]`][ColumnSet.cols]` }` */ private interface ColumnSetColsIndicesDocs @@ -968,9 +968,9 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsIndicesDocs] * @set [CommonColsIndicesDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]`(1, 3) }` + * `df.`[`select`][DataFrame.select]` { `[`cols`][ColumnsSelectionDsl.cols]`(1, 3) }` * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]`<`[String][String]`>(1, 3) }` + * `df.`[`select`][DataFrame.select]` { `[`cols`][ColumnsSelectionDsl.cols]`<`[`String`][String]`>(1, 3) }` */ private interface ColumnsSelectionDslColsIndicesDocs @@ -992,9 +992,9 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsIndicesDocs] * @set [CommonColsIndicesDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { myColumnGroup.`[cols][SingleColumn.cols]`(1, 3) }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup.`[`cols`][SingleColumn.cols]`(1, 3) }` * - * `df.`[select][DataFrame.select]` { myColumnGroup.`[cols][SingleColumn.cols]`<`[String][String]`>(3, 4) }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup.`[`cols`][SingleColumn.cols]`<`[`String`][String]`>(3, 4) }` */ private interface SingleColumnColsIndicesDocs @@ -1016,9 +1016,9 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsIndicesDocs] * @set [CommonColsIndicesDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { "myColumnGroup".`[cols][String.cols]`(5, 3, 1) }` + * `df.`[`select`][DataFrame.select]` { "myColumnGroup".`[`cols`][String.cols]`(5, 3, 1) }` * - * `df.`[select][DataFrame.select]` { "myColumnGroup".`[cols][String.cols]`<`[String][String]`>(5, 3, 1) }` + * `df.`[`select`][DataFrame.select]` { "myColumnGroup".`[`cols`][String.cols]`<`[`String`][String]`>(5, 3, 1) }` */ private interface StringColsIndicesDocs @@ -1040,9 +1040,9 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsIndicesDocs] * @set [CommonColsIndicesDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { Type::myColumnGroup.`[cols][SingleColumn.cols]`(5, 4) }` + * `df.`[`select`][DataFrame.select]` { Type::myColumnGroup.`[`cols`][SingleColumn.cols]`(5, 4) }` * - * `df.`[select][DataFrame.select]` { Type::myColumnGroup.`[cols][SingleColumn.cols]`<`[String][String]`>(5, 4) }` + * `df.`[`select`][DataFrame.select]` { Type::myColumnGroup.`[`cols`][SingleColumn.cols]`<`[`String`][String]`>(5, 4) }` */ private interface KPropertyColsIndicesDocs @@ -1064,9 +1064,9 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsIndicesDocs] * @set [CommonColsIndicesDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { "pathTo"["myColGroup"].`[cols][ColumnPath.cols]`(0, 1) }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["myColGroup"].`[`cols`][ColumnPath.cols]`(0, 1) }` * - * `df.`[select][DataFrame.select]` { "pathTo"["myColGroup"].`[cols][ColumnPath.cols]`<`[String][String]`>(0, 1) }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["myColGroup"].`[`cols`][ColumnPath.cols]`<`[`String`][String]`>(0, 1) }` */ private interface ColumnPathColsIndicesDocs @@ -1092,9 +1092,9 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsRangeDocs] * @set [CommonColsRangeDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[cols][ColumnSet.cols]`(1`[..][Int.rangeTo]`3) }` + * `df.`[`select`][DataFrame.select]` { `[`colsOf`][SingleColumn.colsOf]`<`[`Int`][Int]`>().`[`cols`][ColumnSet.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][DataFrame.select]` { `[all][all]`()`[`[`][ColumnSet.cols]`1`[..][Int.rangeTo]`5`[`]`][ColumnSet.cols]` }` + * `df.`[`select`][DataFrame.select]` { `[`all`][all]`()`[`[`][ColumnSet.cols]`1`[`..`][Int.rangeTo]`5`[`]`][ColumnSet.cols]` }` */ private interface ColumnSetColsRangeDocs @@ -1109,9 +1109,9 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsRangeDocs] * @set [CommonColsRangeDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][DataFrame.select]` { `[`cols`][ColumnsSelectionDsl.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]`<`[String][String]`>(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][DataFrame.select]` { `[`cols`][ColumnsSelectionDsl.cols]`<`[`String`][String]`>(1`[`..`][Int.rangeTo]`3) }` */ private interface ColumnsSelectionDslColsRangeDocs @@ -1129,9 +1129,9 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsRangeDocs] * @set [CommonColsRangeDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { myColumnGroup.`[cols][SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup.`[`cols`][SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][DataFrame.select]` { myColumnGroup.`[cols][SingleColumn.cols]`<`[String][String]`>(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][DataFrame.select]` { myColumnGroup.`[`cols`][SingleColumn.cols]`<`[`String`][String]`>(1`[`..`][Int.rangeTo]`3) }` */ private interface SingleColumnColsRangeDocs @@ -1149,9 +1149,9 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsRangeDocs] * @set [CommonColsRangeDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { "myColGroup".`[cols][String.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][DataFrame.select]` { "myColGroup".`[`cols`][String.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][DataFrame.select]` { "myColGroup".`[cols][String.cols]`<`[String][String]`>(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][DataFrame.select]` { "myColGroup".`[`cols`][String.cols]`<`[`String`][String]`>(1`[`..`][Int.rangeTo]`3) }` */ private interface StringColsRangeDocs @@ -1167,9 +1167,9 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsRangeDocs] * @set [CommonColsRangeDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { Type::myColumnGroup.`[cols][SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][DataFrame.select]` { Type::myColumnGroup.`[`cols`][SingleColumn.cols]`(1`[`..`][Int.rangeTo]`3) }` * - * `df.`[select][DataFrame.select]` { Type::myColumnGroup.`[cols][SingleColumn.cols]`<`[String][String]`>(1`[`..`][Int.rangeTo]`3) }` + * `df.`[`select`][DataFrame.select]` { Type::myColumnGroup.`[`cols`][SingleColumn.cols]`<`[`String`][String]`>(1`[`..`][Int.rangeTo]`3) }` * */ private interface KPropertyColsRangeDocs @@ -1186,9 +1186,9 @@ public interface ColsColumnsSelectionDsl { * @include [CommonColsRangeDocs] * @set [CommonColsRangeDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { "pathTo"["myColGroup"].`[cols][ColumnPath.cols]`(0`[`..`][Int.rangeTo]`1) }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["myColGroup"].`[`cols`][ColumnPath.cols]`(0`[`..`][Int.rangeTo]`1) }` * - * `df.`[select][DataFrame.select]` { "pathTo"["myColGroup"].`[cols][ColumnPath.cols]`<`[String][String]`>(0`[`..`][Int.rangeTo]`1) }` + * `df.`[`select`][DataFrame.select]` { "pathTo"["myColGroup"].`[`cols`][ColumnPath.cols]`<`[`String`][String]`>(0`[`..`][Int.rangeTo]`1) }` */ private interface ColumnPathColsRangeDocs diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsAtAnyDepth.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsAtAnyDepth.kt index a7467fa6b..a89f6c5cd 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsAtAnyDepth.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsAtAnyDepth.kt @@ -47,24 +47,24 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * } * * {@set [DslGrammarTemplate.PlainDslFunctionsArg] - * {@include [PlainDslName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [PlainDslName]}` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * } * {@set [DslGrammarTemplate.ColumnSetFunctionsArg] - * {@include [Indent]}{@include [ColumnSetName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}{@include [ColumnSetName]}` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * } * {@set [DslGrammarTemplate.ColumnGroupFunctionsArg] - * {@include [Indent]}{@include [ColumnGroupName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}{@include [ColumnGroupName]}` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * } */ public interface Grammar { - /** [**colsAtAnyDepth**][ColumnsSelectionDsl.colsAtAnyDepth] */ + /** [**`colsAtAnyDepth`**][ColumnsSelectionDsl.colsAtAnyDepth] */ public interface PlainDslName - /** \**`.`**[**colsAtAnyDepth**][ColumnsSelectionDsl.colsAtAnyDepth] */ + /** __`.`__[**`colsAtAnyDepth`**][ColumnsSelectionDsl.colsAtAnyDepth] */ public interface ColumnSetName - /** \**`.`**[**colsAtAnyDepth**][ColumnsSelectionDsl.colsAtAnyDepth] */ + /** __`.`__[**`colsAtAnyDepth`**][ColumnsSelectionDsl.colsAtAnyDepth] */ public interface ColumnGroupName } @@ -80,15 +80,15 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * #### For example: * `// Depth-first search to a column containing the value "Alice"` * - * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]`().`[first][ColumnsSelectionDsl.firstCol]` { "Alice" `[in][Iterable.contains]` it.`[values][DataColumn.values]`() } }` + * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]`().`[first][ColumnsSelectionDsl.firstCol]` { "Alice" `[in][Iterable.contains]` it.`[values][DataColumn.values]`() } }` * {@include [LineBreak]} * `// The columns at any depth excluding the top-level` * - * `df.`[select][DataFrame.select]` { `[colGroups][ColumnsSelectionDsl.colGroups]`().`[colsAtAnyDepth][ColumnSet.colsAtAnyDepth]`() }` + * `df.`[select][DataFrame.select]` { `[colGroups][ColumnsSelectionDsl.colGroups]`().`[colsAtAnyDepth][ColumnSet.colsAtAnyDepth]`() }` * {@include [LineBreak]} * `// All value- and frame columns at any depth` * - * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { !it.`[isColumnGroup][DataColumn.isColumnGroup]` } }` + * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { !it.`[isColumnGroup][DataColumn.isColumnGroup]` } }` * {@include [LineBreak]} * `// All value columns at any depth nested under a column group named "myColGroup"` * @@ -100,7 +100,7 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * * #### Converting from deprecated syntax: * - * [dfs][dfs]` { condition } -> `[colsAtAnyDepth][colsAtAnyDepth]` { condition }` + * [dfs][dfs]` { condition } -> `[colsAtAnyDepth][colsAtAnyDepth]` { condition }` * * [allDfs][allDfs]`(includeGroups = false) -> `[colsAtAnyDepth][colsAtAnyDepth]` { includeGroups || !it.`[isColumnGroup][DataColumn.isColumnGroup]`() }` * @@ -125,7 +125,7 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * @include [CommonAtAnyDepthDocs] * @set [CommonAtAnyDepthDocs.Examples] * - * `df.`[select][DataFrame.select]` { `[colGroups][ColumnsSelectionDsl.colGroups]`().`[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { "Alice" `[in][Iterable.contains]` it.`[values][DataColumn.values]`() } }` + * `df.`[select][DataFrame.select]` { `[colGroups][ColumnsSelectionDsl.colGroups]`().`[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { "Alice" `[in][Iterable.contains]` it.`[values][DataColumn.values]`() } }` */ public fun ColumnSet<*>.colsAtAnyDepth(predicate: ColumnFilter<*> = { true }): ColumnSet<*> = colsAtAnyDepthInternal(predicate) @@ -134,9 +134,9 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * @include [CommonAtAnyDepthDocs] * @set [CommonAtAnyDepthDocs.Examples] * - * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { "Alice" `[in][Iterable.contains]` it.`[values][DataColumn.values]`() }.`[first][ColumnsSelectionDsl.first]`() }` + * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { "Alice" `[in][Iterable.contains]` it.`[values][DataColumn.values]`() }.`[first][ColumnsSelectionDsl.first]`() }` * - * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { !it.`[isColumnGroup][DataColumn.isColumnGroup]` } }` + * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { !it.`[isColumnGroup][DataColumn.isColumnGroup]` } }` */ public fun ColumnsSelectionDsl<*>.colsAtAnyDepth(predicate: ColumnFilter<*> = { true }): ColumnSet<*> = asSingleColumn().colsAtAnyDepthInternal(predicate) @@ -145,7 +145,7 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * @include [CommonAtAnyDepthDocs] * @set [CommonAtAnyDepthDocs.Examples] * - * `df.`[select][DataFrame.select]` { myColGroup.`[colsAtAnyDepth][SingleColumn.colsAtAnyDepth]` { "Alice" `[in][Iterable.contains]` it.`[values][DataColumn.values]`() } }` + * `df.`[select][DataFrame.select]` { myColGroup.`[colsAtAnyDepth][SingleColumn.colsAtAnyDepth]` { "Alice" `[in][Iterable.contains]` it.`[values][DataColumn.values]`() } }` */ public fun SingleColumn>.colsAtAnyDepth(predicate: ColumnFilter<*> = { true }): ColumnSet<*> = ensureIsColumnGroup().colsAtAnyDepthInternal(predicate) @@ -154,7 +154,7 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * @include [CommonAtAnyDepthDocs] * @set [CommonAtAnyDepthDocs.Examples] * - * `df.`[select][DataFrame.select]` { "myColumnGroup".`[colsAtAnyDepth][String.colsAtAnyDepth]` { "Alice" `[in][Iterable.contains]` it.`[values][DataColumn.values]`() } }` + * `df.`[select][DataFrame.select]` { "myColumnGroup".`[colsAtAnyDepth][String.colsAtAnyDepth]` { "Alice" `[in][Iterable.contains]` it.`[values][DataColumn.values]`() } }` */ public fun String.colsAtAnyDepth(predicate: ColumnFilter<*> = { true }): ColumnSet<*> = columnGroup(this).colsAtAnyDepth(predicate) @@ -163,7 +163,7 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * @include [CommonAtAnyDepthDocs] * @set [CommonAtAnyDepthDocs.Examples] * - * `df.`[select][DataFrame.select]` { Type::myColumnGroup.`[colsAtAnyDepth][KProperty.colsAtAnyDepth]` { "Alice" `[in][Iterable.contains]` it.`[values][DataColumn.values]`() } }` + * `df.`[select][DataFrame.select]` { Type::myColumnGroup.`[colsAtAnyDepth][KProperty.colsAtAnyDepth]` { "Alice" `[in][Iterable.contains]` it.`[values][DataColumn.values]`() } }` */ public fun KProperty<*>.colsAtAnyDepth(predicate: ColumnFilter<*> = { true }): ColumnSet<*> = columnGroup(this).colsAtAnyDepth(predicate) @@ -172,7 +172,7 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * @include [CommonAtAnyDepthDocs] * @set [CommonAtAnyDepthDocs.Examples] * - * `df.`[select][DataFrame.select]` { "pathTo"["myGroupCol"].`[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { "Alice" `[in][Iterable.contains]` it.`[values][DataColumn.values]`() } }` + * `df.`[select][DataFrame.select]` { "pathTo"["myGroupCol"].`[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { "Alice" `[in][Iterable.contains]` it.`[values][DataColumn.values]`() } }` */ public fun ColumnPath.colsAtAnyDepth(predicate: ColumnFilter<*> = { true }): ColumnSet<*> = columnGroup(this).colsAtAnyDepth(predicate) diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsInGroups.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsInGroups.kt index 642a10371..b89a50837 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsInGroups.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsInGroups.kt @@ -45,26 +45,26 @@ public interface ColsInGroupsColumnsSelectionDsl { * } * * {@set [DslGrammarTemplate.PlainDslFunctionsArg] - * {@include [PlainDslName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [PlainDslName]}` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * } * * {@set [DslGrammarTemplate.ColumnSetFunctionsArg] - * {@include [Indent]}{@include [ColumnSetName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}{@include [ColumnSetName]}` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * } * * {@set [DslGrammarTemplate.ColumnGroupFunctionsArg] - * {@include [Indent]}{@include [ColumnGroupName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}{@include [ColumnGroupName]}` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * } */ public interface Grammar { - /** [**colsInGroups**][ColumnsSelectionDsl.colsInGroups] */ + /** [**`colsInGroups`**][ColumnsSelectionDsl.colsInGroups] */ public interface PlainDslName - /** \**`.`**[**colsInGroups**][ColumnsSelectionDsl.colsInGroups] */ + /** __`.`__[**`colsInGroups`**][ColumnsSelectionDsl.colsInGroups] */ public interface ColumnSetName - /** \**`.`**[**colsInGroups**][ColumnsSelectionDsl.colsInGroups] */ + /** __`.`__[**`colsInGroups`**][ColumnsSelectionDsl.colsInGroups] */ public interface ColumnGroupName } @@ -89,15 +89,15 @@ public interface ColsInGroupsColumnsSelectionDsl { * * you can use: * - * `df.`[select][DataFrame.select]` { `[colsInGroups][ColumnsSelectionDsl.colsInGroups]`() }` + * `df.`[select][DataFrame.select]` { `[colsInGroups][ColumnsSelectionDsl.colsInGroups]`() }` * * and * - * `df.`[select][DataFrame.select]` { `[colsInGroups][ColumnsSelectionDsl.colsInGroups]` { "user" `[in][String.contains]` it.`[name][DataColumn.name]` } }` + * `df.`[select][DataFrame.select]` { `[colsInGroups][ColumnsSelectionDsl.colsInGroups]` { "user" `[in][String.contains]` it.`[name][DataColumn.name]` } }` * {@include [LineBreak]} * Similarly, you can take the columns inside all [column groups][ColumnGroup] in a [ColumnSet]: * {@include [LineBreak]} - * `df.`[select][DataFrame.select]` { `[colGroups][ColumnsSelectionDsl.colGroups]` { "my" `[in][String.contains]` it.`[name][DataColumn.name]` }.`[colsInGroups][ColumnSet.colsInGroups]`() }` + * `df.`[select][DataFrame.select]` { `[colGroups][ColumnsSelectionDsl.colGroups]` { "my" `[in][String.contains]` it.`[name][DataColumn.name]` }.`[colsInGroups][ColumnSet.colsInGroups]`() }` * {@include [LineBreak]} * * #### Examples of this overload: @@ -119,9 +119,9 @@ public interface ColsInGroupsColumnsSelectionDsl { * @include [ColsInGroupsDocs] * @set [ColsInGroupsDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[colsInGroups][ColumnSet.colsInGroups]` { "my" `[in][String.contains]` it.`[name][DataColumn.name]` } }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[colsInGroups][ColumnSet.colsInGroups]` { "my" `[in][String.contains]` it.`[name][DataColumn.name]` } }` * - * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[DataRow][DataRow]`>().`[colsInGroups][ColumnSet.colsInGroups]`() }` + * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[DataRow][DataRow]`>().`[colsInGroups][ColumnSet.colsInGroups]`() }` */ public fun ColumnSet<*>.colsInGroups(predicate: ColumnFilter<*> = { true }): TransformableColumnSet<*> = transform { it.flatMap { it.cols().filter { predicate(it) } } } @@ -130,9 +130,9 @@ public interface ColsInGroupsColumnsSelectionDsl { * @include [ColsInGroupsDocs] * @set [ColsInGroupsDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[colsInGroups][ColumnSet.colsInGroups]` { "my" `[in][String.contains]` it.`[name][DataColumn.name]` } }` + * `df.`[select][DataFrame.select]` { `[colsInGroups][ColumnSet.colsInGroups]` { "my" `[in][String.contains]` it.`[name][DataColumn.name]` } }` * - * `df.`[select][DataFrame.select]` { `[colsInGroups][ColumnSet.colsInGroups]`() }` + * `df.`[select][DataFrame.select]` { `[colsInGroups][ColumnSet.colsInGroups]`() }` */ public fun ColumnsSelectionDsl<*>.colsInGroups(predicate: ColumnFilter<*> = { true }): TransformableColumnSet<*> = asSingleColumn().colsInGroups(predicate) diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOf.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOf.kt index fddb07cf0..8d1ad745b 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOf.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOf.kt @@ -52,11 +52,11 @@ public interface ColsOfColumnsSelectionDsl { * } * * {@set [DslGrammarTemplate.PlainDslFunctionsArg] - * {@include [PlainDslName]}**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**` [` **`(`**{@include [DslGrammarTemplate.KTypeRef]}**`)`** `] [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [PlainDslName]}**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**` [ `**`(`**{@include [DslGrammarTemplate.KTypeRef]}**`)`**` ] [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * } * * {@set [DslGrammarTemplate.ColumnSetFunctionsArg] - * {@include [Indent]}{@include [ColumnSetName]}**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**` [` **`(`**{@include [DslGrammarTemplate.KTypeRef]}**`)`** `] [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}{@include [ColumnSetName]}**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**` [ `**`(`**{@include [DslGrammarTemplate.KTypeRef]}**`)`**` ] [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * } * * {@comment We need to deviate from the template here, since we have overload discrepancies.} @@ -68,13 +68,13 @@ public interface ColsOfColumnsSelectionDsl { * * {@include [DslGrammarTemplate.SingleColumnRef]} * - * {@include [Indent]}{@include [ColumnGroupName]}**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**` [` **`(`**{@include [DslGrammarTemplate.KTypeRef]}**`)`** `] [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}{@include [ColumnGroupName]}**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**` [ `**`(`**{@include [DslGrammarTemplate.KTypeRef]}**`)`**` ] [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * * {@include [LineBreak]} * * {@include [DslGrammarTemplate.ColumnGroupNoSingleColumnRef]} * - * {@include [Indent]}{@include [ColumnGroupName]}**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>(`**{@include [DslGrammarTemplate.KTypeRef]}**`)`** ` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}{@include [ColumnGroupName]}**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>(`**{@include [DslGrammarTemplate.KTypeRef]}**`)`**` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * } */ public interface Grammar { @@ -82,10 +82,10 @@ public interface ColsOfColumnsSelectionDsl { /** [**colsOf**][ColumnsSelectionDsl.colsOf] */ public interface PlainDslName - /** \**`.`**[**colsOf**][ColumnsSelectionDsl.colsOf] */ + /** __`.`__[**`colsOf`**][ColumnsSelectionDsl.colsOf] */ public interface ColumnSetName - /** \**`.`**[**colsOf**][ColumnsSelectionDsl.colsOf] */ + /** __`.`__[**`colsOf`**][ColumnsSelectionDsl.colsOf] */ public interface ColumnGroupName } @@ -101,9 +101,9 @@ public interface ColsOfColumnsSelectionDsl { * * #### For example: * - * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>() }` + * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>() }` * - * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Int][Int]`> { it.`[size][DataColumn.size]` > 10 } }` + * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Int][Int]`> { it.`[size][DataColumn.size]` > 10 } }` * {@include [LineBreak]} * Alternatively, [colsOf] can also be called on existing columns: * @@ -117,7 +117,7 @@ public interface ColsOfColumnsSelectionDsl { * This is useful when the type is not known at compile time or when the API function cannot be inlined. * {@comment TODO: [Issue: #325, context receiver support](https://github.com/Kotlin/dataframe/issues/325) } * - * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) }` + * `df.`[select][DataFrame.select]` { `[colsOf][ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) }` * * `df.`[select][DataFrame.select]` { "myColumnGroup".`[colsOf][ColumnsSelectionDsl.colsOf]`<`[Int][Int]`>(`[typeOf][typeOf]`<`[Int][Int]`>()) { it: `[DataColumn][DataColumn]`<`[Int][Int]`> -> it.`[size][DataColumn.size]` > 10 } }` * @@ -181,9 +181,9 @@ public interface ColsOfColumnsSelectionDsl { /** * @include [ColsOfColumnsSelectionDsl.CommonColsOfDocs] * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[colsOf][ColumnSet.colsOf]`(`[typeOf][typeOf]`<`[Int][Int]`>()) }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[colsOf][ColumnSet.colsOf]`(`[typeOf][typeOf]`<`[Int][Int]`>()) }` * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[colsOf][ColumnSet.colsOf]`(`[typeOf][typeOf]`<`[Int][Int]`>()) { it: `[DataColumn][DataColumn]`<`[Int][Int]`> -> it.`[size][DataColumn.size]` > 10 } }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[colsOf][ColumnSet.colsOf]`(`[typeOf][typeOf]`<`[Int][Int]`>()) { it: `[DataColumn][DataColumn]`<`[Int][Int]`> -> it.`[size][DataColumn.size]` > 10 } }` * * @include [ColsOfColumnsSelectionDsl.CommonColsOfDocs.FilterParam] * @include [ColsOfColumnsSelectionDsl.CommonColsOfDocs.Return] @@ -196,9 +196,9 @@ public fun ColumnSet<*>.colsOf( /** * @include [ColsOfColumnsSelectionDsl.CommonColsOfDocs] * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[colsOf][ColumnSet.colsOf]`<`[Int][Int]`>() }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[colsOf][ColumnSet.colsOf]`<`[Int][Int]`>() }` * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[colsOf][ColumnSet.colsOf]`<`[Int][Int]`> { it.`[size][DataColumn.size]` > 10 } }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[colsOf][ColumnSet.colsOf]`<`[Int][Int]`> { it.`[size][DataColumn.size]` > 10 } }` * * @include [ColsOfColumnsSelectionDsl.CommonColsOfDocs.FilterParam] * @include [ColsOfColumnsSelectionDsl.CommonColsOfDocs.Return] @@ -210,7 +210,7 @@ public inline fun ColumnSet<*>.colsOf( /** * @include [ColsOfColumnsSelectionDsl.CommonColsOfDocs] * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`(`[typeOf][typeOf]`<`[Int][Int]`>()) }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`(`[typeOf][typeOf]`<`[Int][Int]`>()) }` * * @include [ColsOfColumnsSelectionDsl.CommonColsOfDocs.FilterParam] * @include [ColsOfColumnsSelectionDsl.CommonColsOfDocs.Return] @@ -223,7 +223,7 @@ public fun ColumnsSelectionDsl<*>.colsOf( /** * @include [ColsOfColumnsSelectionDsl.CommonColsOfDocs] * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>() }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>() }` * * @include [ColsOfColumnsSelectionDsl.CommonColsOfDocs.FilterParam] * @include [ColsOfColumnsSelectionDsl.CommonColsOfDocs.Return] diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOfKind.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOfKind.kt index fd74cc9da..c62bc9776 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOfKind.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsOfKind.kt @@ -44,26 +44,26 @@ public interface ColsOfKindColumnsSelectionDsl { * } * * {@set [DslGrammarTemplate.PlainDslFunctionsArg] - * {@include [PlainDslName]}**`(`**{@include [DslGrammarTemplate.ColumnKindRef]}**`,`**` ..`**`)`**` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [PlainDslName]}**`(`**{@include [DslGrammarTemplate.ColumnKindRef]}**`,`**` ..`**`)`**` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * } * * {@set [DslGrammarTemplate.ColumnSetFunctionsArg] - * {@include [Indent]}{@include [ColumnSetName]}**`(`**{@include [DslGrammarTemplate.ColumnKindRef]}**`,`**` ..`**`)`**` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}{@include [ColumnSetName]}**`(`**{@include [DslGrammarTemplate.ColumnKindRef]}**`,`**` ..`**`)`**` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * } * * {@set [DslGrammarTemplate.ColumnGroupFunctionsArg] - * {@include [Indent]}{@include [ColumnGroupName]}**`(`**{@include [DslGrammarTemplate.ColumnKindRef]}**`,`**` ..`**`)`**` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}{@include [ColumnGroupName]}**`(`**{@include [DslGrammarTemplate.ColumnKindRef]}**`,`**` ..`**`)`**` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * } */ public interface Grammar { - /** [**colsOfKind**][ColumnsSelectionDsl.colGroups] */ + /** [**`colsOfKind`**][ColumnsSelectionDsl.colGroups] */ public interface PlainDslName - /** \**`.`**[**colsOfKind**][ColumnsSelectionDsl.colGroups] */ + /** __`.`__[**`colsOfKind`**][ColumnsSelectionDsl.colGroups] */ public interface ColumnSetName - /** \**`.`**[**colsOfKind**][ColumnsSelectionDsl.colGroups] */ + /** __`.`__[**`colsOfKind`**][ColumnsSelectionDsl.colGroups] */ public interface ColumnGroupName } @@ -80,9 +80,9 @@ public interface ColsOfKindColumnsSelectionDsl { * * #### For example: * - * `df.`[select][DataFrame.select]` { `[colsOfKind][ColumnsSelectionDsl.colsOfKind]`(`[Value][ColumnKind.Value]`, `[Frame][ColumnKind.Frame]`) { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[colsOfKind][ColumnsSelectionDsl.colsOfKind]`(`[Value][ColumnKind.Value]`, `[Frame][ColumnKind.Frame]`) { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][DataFrame.select]` { `[colsOfKind][ColumnsSelectionDsl.colsOfKind]`(`[Group][ColumnKind.Group]`) }` + * `df.`[select][DataFrame.select]` { `[colsOfKind][ColumnsSelectionDsl.colsOfKind]`(`[Group][ColumnKind.Group]`) }` * * `df.`[select][DataFrame.select]` { "myColGroup".`[colsOfKind][String.colsOfKind]`(`[Frame][ColumnKind.Frame]`) }` * @@ -109,11 +109,11 @@ public interface ColsOfKindColumnsSelectionDsl { * @include [CommonColsOfKindDocs] * @set [CommonColsOfKindDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") }.`[colsOfKind][ColumnSet.colsOfKind]`(`[Value][ColumnKind.Value]`, `[Frame][ColumnKind.Frame]`) }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") }.`[colsOfKind][ColumnSet.colsOfKind]`(`[Value][ColumnKind.Value]`, `[Frame][ColumnKind.Frame]`) }` * * `// NOTE: This can be shortened to just:` * - * `df.`[select][DataFrame.select]` { `[colsOfKind][ColumnsSelectionDsl.colsOfKind]`(`[Value][ColumnKind.Value]`, `[Frame][ColumnKind.Frame]`) { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[colsOfKind][ColumnsSelectionDsl.colsOfKind]`(`[Value][ColumnKind.Value]`, `[Frame][ColumnKind.Frame]`) { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` */ public fun ColumnSet<*>.colsOfKind( kind: ColumnKind, @@ -129,7 +129,7 @@ public interface ColsOfKindColumnsSelectionDsl { * @include [CommonColsOfKindDocs] * @set [CommonColsOfKindDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[colsOfKind][ColumnsSelectionDsl.colsOfKind]`(`[Value][ColumnKind.Value]`, `[Frame][ColumnKind.Frame]`) { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[colsOfKind][ColumnsSelectionDsl.colsOfKind]`(`[Value][ColumnKind.Value]`, `[Frame][ColumnKind.Frame]`) { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` */ public fun ColumnsSelectionDsl<*>.colsOfKind( kind: ColumnKind, diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnNameFilters.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnNameFilters.kt index b9661e3eb..9f33771a6 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnNameFilters.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnNameFilters.kt @@ -41,39 +41,39 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * {@set [DslGrammarTemplate.PlainDslFunctionsArg] * {@include [PlainDslNameContains]}**`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`, `**{@include [DslGrammarTemplate.IgnoreCaseRef]}`] | `{@include [DslGrammarTemplate.RegexRef]}**`)`** * - * `|` {@include [PlainDslNameStartsEndsWith]}__`(`__{@include [DslGrammarTemplate.TextRef]}`[`**`, `**{@include [DslGrammarTemplate.IgnoreCaseRef]}`]`**`)`** + * `| `{@include [PlainDslNameStartsEndsWith]}__`(`__{@include [DslGrammarTemplate.TextRef]}`[`**`, `**{@include [DslGrammarTemplate.IgnoreCaseRef]}`]`**`)`** * } * * {@set [DslGrammarTemplate.ColumnSetFunctionsArg] * {@include [Indent]}{@include [ColumnSetNameContains]}**`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`, `**{@include [DslGrammarTemplate.IgnoreCaseRef]}`] | `{@include [DslGrammarTemplate.RegexRef]}**`)`** * - * {@include [Indent]}`|` {@include [ColumnSetNameStartsEndsWith]}__`(`__{@include [DslGrammarTemplate.TextRef]}`[`**`, `**{@include [DslGrammarTemplate.IgnoreCaseRef]}`]`**`)`** + * {@include [Indent]}`| `{@include [ColumnSetNameStartsEndsWith]}__`(`__{@include [DslGrammarTemplate.TextRef]}`[`**`, `**{@include [DslGrammarTemplate.IgnoreCaseRef]}`]`**`)`** * } * * {@set [DslGrammarTemplate.ColumnGroupFunctionsArg] * {@include [Indent]}{@include [ColumnGroupNameContains]}**`(`**{@include [DslGrammarTemplate.TextRef]}`[`**`, `**{@include [DslGrammarTemplate.IgnoreCaseRef]}`] | `{@include [DslGrammarTemplate.RegexRef]}**`)`** * - * {@include [Indent]}`|` {@include [ColumnGroupNameStartsWith]}__`(`__{@include [DslGrammarTemplate.TextRef]}`[`**`, `**{@include [DslGrammarTemplate.IgnoreCaseRef]}`]`**`)`** + * {@include [Indent]}`| `{@include [ColumnGroupNameStartsWith]}__`(`__{@include [DslGrammarTemplate.TextRef]}`[`**`, `**{@include [DslGrammarTemplate.IgnoreCaseRef]}`]`**`)`** * } */ public interface Grammar { - /** [**nameContains**][ColumnsSelectionDsl.nameContains] */ + /** [**`nameContains`**][ColumnsSelectionDsl.nameContains] */ public interface PlainDslNameContains - /** \**`name`**`(`[**Starts**][ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][ColumnsSelectionDsl.nameEndsWith]`)`**`With`** */ + /** __`name`__`(`[**`Starts`**][ColumnsSelectionDsl.nameStartsWith]`|`[**`Ends`**][ColumnsSelectionDsl.nameEndsWith]`)`**`With`** */ public interface PlainDslNameStartsEndsWith - /** \**`.`**[**nameContains**][ColumnsSelectionDsl.nameContains] */ + /** __`.`__[**`nameContains`**][ColumnsSelectionDsl.nameContains] */ public interface ColumnSetNameContains - /** \**`.name`**`(`[**Starts**][ColumnsSelectionDsl.nameStartsWith]`|`[**Ends**][ColumnsSelectionDsl.nameEndsWith]`)`**`With`** */ + /** __`.name`__`(`[**`Starts`**][ColumnsSelectionDsl.nameStartsWith]`|`[**`Ends`**][ColumnsSelectionDsl.nameEndsWith]`)`**`With`** */ public interface ColumnSetNameStartsEndsWith - /** \**`.`**[**colsNameContains**][ColumnsSelectionDsl.colsNameContains] */ + /**__`.`__[**`colsNameContains`**][ColumnsSelectionDsl.colsNameContains] */ public interface ColumnGroupNameContains - /** \**`.colsName`**`(`[**Starts**][ColumnsSelectionDsl.colsNameStartsWith]`|`[**Ends**][ColumnsSelectionDsl.colsNameEndsWith]`)`**`With`** */ + /** __`.colsName`__`(`[**`Starts`**][ColumnsSelectionDsl.colsNameStartsWith]`|`[**`Ends`**][ColumnsSelectionDsl.colsNameEndsWith]`)`**`With`** */ public interface ColumnGroupNameStartsWith } @@ -88,13 +88,13 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * NOTE: For [column groups][ColumnGroup], `nameContains` is named `colsNameContains` to avoid confusion. * - * This function is a shorthand for [cols][ColumnsSelectionDsl.cols]` { `{@get [ArgumentArg]}{@get [ArgumentArg]}` `[in][String.contains]` it.`[name][DataColumn.name]` }`. + * This function is a shorthand for [cols][ColumnsSelectionDsl.cols]` { `{@get [ArgumentArg]}{@get [ArgumentArg]}` `[in][String.contains]` it.`[name][DataColumn.name]` }`. * * ### Check out: [Grammar] * * #### For example: * - * `df.`[select][DataFrame.select]` { `[nameContains][SingleColumn.colsNameContains]`("my") }` + * `df.`[select][DataFrame.select]` { `[nameContains][SingleColumn.colsNameContains]`("my") }` * * `df.`[select][DataFrame.select]` { "someGroupCol".`[nameContains][String.colsNameContains]`(`[Regex][Regex]`("my[a-zA-Z][a-zA-Z0-9]*")) }` * @@ -137,9 +137,9 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * @include [NameContainsTextDocs] * @set [CommonNameContainsDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[nameContains][ColumnSet.nameContains]`("my") }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[nameContains][ColumnSet.nameContains]`("my") }` * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[nameContains][ColumnSet.nameContains]`("my", ignoreCase = true) }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[nameContains][ColumnSet.nameContains]`("my", ignoreCase = true) }` */ @Suppress("UNCHECKED_CAST") public fun ColumnSet.nameContains( @@ -152,7 +152,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * @include [NameContainsTextDocs] * @set [CommonNameContainsDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[nameContains][ColumnsSelectionDsl.colsNameContains]`("my") }` + * `df.`[select][DataFrame.select]` { `[nameContains][ColumnsSelectionDsl.colsNameContains]`("my") }` */ public fun ColumnsSelectionDsl<*>.nameContains( text: CharSequence, @@ -217,9 +217,9 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * @include [NameContainsRegexDocs] * @set [CommonNameContainsDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[nameContains][ColumnSet.nameContains]`(`[Regex][Regex]`("order-[0-9]+")) }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[nameContains][ColumnSet.nameContains]`(`[Regex][Regex]`("order-[0-9]+")) }` * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[nameContains][ColumnSet.nameContains]`(`[Regex][Regex]`("order-[0-9]+")) }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[nameContains][ColumnSet.nameContains]`(`[Regex][Regex]`("order-[0-9]+")) }` */ @Suppress("UNCHECKED_CAST") public fun ColumnSet.nameContains(regex: Regex): TransformableColumnSet = @@ -229,7 +229,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * @include [NameContainsRegexDocs] * @set [CommonNameContainsDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[nameContains][ColumnsSelectionDsl.nameContains]`(`[Regex][Regex]`("order-[0-9]+")) }` + * `df.`[select][DataFrame.select]` { `[nameContains][ColumnsSelectionDsl.nameContains]`(`[Regex][Regex]`("order-[0-9]+")) }` */ public fun ColumnsSelectionDsl<*>.nameContains(regex: Regex): TransformableColumnSet<*> = asSingleColumn().colsNameContains(regex) @@ -287,7 +287,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * * #### For example: * - * `df.`[select][DataFrame.select]` { `[{@get [NameOperationNameArg]}][ColumnsSelectionDsl.{@get [NameOperationNameArg]}]`("order") }` + * `df.`[select][DataFrame.select]` { `[{@get [NameOperationNameArg]}][ColumnsSelectionDsl.{@get [NameOperationNameArg]}]`("order") }` * * `df.`[select][DataFrame.select]` { "someGroupCol".`[{@get [ColsNameOperationNameArg]}][String.{@get [ColsNameOperationNameArg]}]`("b") }` * @@ -358,7 +358,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * @include [CommonNameStartsWithDocs] * @set [CommonNameStartsEndsDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[nameStartsWith][ColumnSet.nameStartsWith]`("order-") }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[nameStartsWith][ColumnSet.nameStartsWith]`("order-") }` */ @Suppress("UNCHECKED_CAST") public fun ColumnSet.nameStartsWith( @@ -371,7 +371,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * @include [CommonNameStartsWithDocs] * @set [CommonNameStartsEndsDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[nameStartsWith][ColumnsSelectionDsl.nameStartsWith]`("order-") }` + * `df.`[select][DataFrame.select]` { `[nameStartsWith][ColumnsSelectionDsl.nameStartsWith]`("order-") }` */ public fun ColumnsSelectionDsl<*>.nameStartsWith( prefix: CharSequence, @@ -462,7 +462,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * @include [CommonNameEndsWithDocs] * @set [CommonNameStartsEndsDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[nameEndsWith][ColumnSet.nameEndsWith]`("-order") }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[nameEndsWith][ColumnSet.nameEndsWith]`("-order") }` */ @Suppress("UNCHECKED_CAST") public fun ColumnSet.nameEndsWith( @@ -475,7 +475,7 @@ public interface ColumnNameFiltersColumnsSelectionDsl { * @include [CommonNameEndsWithDocs] * @set [CommonNameStartsEndsDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[nameEndsWith][ColumnsSelectionDsl.nameEndsWith]`("-order") }` + * `df.`[select][DataFrame.select]` { `[nameEndsWith][ColumnsSelectionDsl.nameEndsWith]`("-order") }` */ public fun ColumnsSelectionDsl<*>.nameEndsWith( suffix: CharSequence, diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnRange.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnRange.kt index da7d75292..81b1d67bf 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnRange.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/columnRange.kt @@ -37,7 +37,7 @@ public interface ColumnRangeColumnsSelectionDsl { */ public interface Grammar { - /** [**..**][ColumnsSelectionDsl.rangeTo] */ + /** [**`..`**][ColumnsSelectionDsl.rangeTo] */ public interface PlainDslName } @@ -52,7 +52,7 @@ public interface ColumnRangeColumnsSelectionDsl { * * #### For example: * - * `df.`[select][DataFrame.select]` { `{@get [CommonRangeOfColumnsDocs.Example]}` }` + * `df.`[select][DataFrame.select]` { `{@get [CommonRangeOfColumnsDocs.Example]}` }` * * @param [endInclusive\] The last column in the subset. * @receiver The first column in the subset. @@ -73,63 +73,63 @@ public interface ColumnRangeColumnsSelectionDsl { /** * @include [CommonRangeOfColumnsDocs] - * {@set [CommonRangeOfColumnsDocs.Example] \ `"fromColumn"`[`..`][String.rangeTo]`"toColumn"`\ } + * {@set [CommonRangeOfColumnsDocs.Example] `"fromColumn"`[`..`][String.rangeTo]`"toColumn"`} */ public operator fun String.rangeTo(endInclusive: String): ColumnSet<*> = toColumnAccessor().rangeTo(endInclusive.toColumnAccessor()) /** * @include [CommonRangeOfColumnsDocs] - * {@set [CommonRangeOfColumnsDocs.Example] \ `"fromColumn"`[`..`][String.rangeTo]`Type::toColumn`\ } + * {@set [CommonRangeOfColumnsDocs.Example] `"fromColumn"`[`..`][String.rangeTo]`Type::toColumn`} */ public operator fun String.rangeTo(endInclusive: KProperty<*>): ColumnSet<*> = toColumnAccessor().rangeTo(endInclusive.toColumnAccessor()) /** * @include [CommonRangeOfColumnsDocs] - * {@set [CommonRangeOfColumnsDocs.Example] \ `"fromColumn"`[`..`][String.rangeTo]`toColumn`\ } + * {@set [CommonRangeOfColumnsDocs.Example] `"fromColumn"`[`..`][String.rangeTo]`toColumn`} */ public operator fun String.rangeTo(endInclusive: AnyColumnReference): ColumnSet<*> = toColumnAccessor().rangeTo(endInclusive) /** * @include [CommonRangeOfColumnsDocs] - * {@set [CommonRangeOfColumnsDocs.Example] \ `Type::fromColumn`[`..`][KProperty.rangeTo]`"toColumn"`\ } + * {@set [CommonRangeOfColumnsDocs.Example] `Type::fromColumn`[`..`][KProperty.rangeTo]`"toColumn"`} */ public operator fun KProperty<*>.rangeTo(endInclusive: String): ColumnSet<*> = toColumnAccessor().rangeTo(endInclusive.toColumnAccessor()) /** * @include [CommonRangeOfColumnsDocs] - * {@set [CommonRangeOfColumnsDocs.Example] \ `Type::fromColumn`[`..`][KProperty.rangeTo]`Type::toColumn`\ } + * {@set [CommonRangeOfColumnsDocs.Example] `Type::fromColumn`[`..`][KProperty.rangeTo]`Type::toColumn`} */ public operator fun KProperty<*>.rangeTo(endInclusive: KProperty<*>): ColumnSet<*> = toColumnAccessor().rangeTo(endInclusive.toColumnAccessor()) /** * @include [CommonRangeOfColumnsDocs] - * {@set [CommonRangeOfColumnsDocs.Example] \ `Type::fromColumn`[`..`][KProperty.rangeTo]`toColumn`\ } + * {@set [CommonRangeOfColumnsDocs.Example] `Type::fromColumn`[`..`][KProperty.rangeTo]`toColumn`} */ public operator fun KProperty<*>.rangeTo(endInclusive: AnyColumnReference): ColumnSet<*> = toColumnAccessor().rangeTo(endInclusive) /** * @include [CommonRangeOfColumnsDocs] - * {@set [CommonRangeOfColumnsDocs.Example] \ `fromColumn`[`..`][ColumnReference.rangeTo]`"toColumn"`\ } + * {@set [CommonRangeOfColumnsDocs.Example] `fromColumn`[`..`][ColumnReference.rangeTo]`"toColumn"`} */ public operator fun AnyColumnReference.rangeTo(endInclusive: String): ColumnSet<*> = rangeTo(endInclusive.toColumnAccessor()) /** * @include [CommonRangeOfColumnsDocs] - * {@set [CommonRangeOfColumnsDocs.Example] \ `fromColumn`[`..`][ColumnReference.rangeTo]`Type::toColumn`\ } + * {@set [CommonRangeOfColumnsDocs.Example] `fromColumn`[`..`][ColumnReference.rangeTo]`Type::toColumn`} */ public operator fun AnyColumnReference.rangeTo(endInclusive: KProperty<*>): ColumnSet<*> = rangeTo(endInclusive.toColumnAccessor()) /** * @include [CommonRangeOfColumnsDocs] - * {@set [CommonRangeOfColumnsDocs.Example] \ `fromColumn`[`..`][ColumnReference.rangeTo]`toColumn`\ } + * {@set [CommonRangeOfColumnsDocs.Example] `fromColumn`[`..`][ColumnReference.rangeTo]`toColumn`} */ public operator fun AnyColumnReference.rangeTo(endInclusive: AnyColumnReference): ColumnSet<*> = createColumnSet { context -> diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/distinct.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/distinct.kt index a6ebe357a..4bdf641fd 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/distinct.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/distinct.kt @@ -73,7 +73,7 @@ public interface DistinctColumnsSelectionDsl { */ public interface Grammar { - /** \**`.`**[**distinct**][ColumnsSelectionDsl.distinct] */ + /** __`.`__[**`distinct`**][ColumnsSelectionDsl.distinct] */ public interface ColumnSetName } @@ -90,7 +90,7 @@ public interface DistinctColumnsSelectionDsl { * #### For Example: * `df.`[select][DataFrame.select]` { (`[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>() `[and][ColumnsSelectionDsl.and]` age).`[distinct][ColumnSet.distinct]`() }` * - * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]`().`[nameStartsWith][ColumnsSelectionDsl.nameStartsWith]`("order").`[distinct][ColumnSet.distinct]`() }` + * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]`().`[nameStartsWith][ColumnsSelectionDsl.nameStartsWith]`("order").`[distinct][ColumnSet.distinct]`() }` * * @return A new [ColumnSet] containing only distinct columns (by path). * @see ColumnsSelectionDsl.named diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/drop.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/drop.kt index 68f3ff714..a142dd9d0 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/drop.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/drop.kt @@ -85,22 +85,22 @@ public interface DropColumnsSelectionDsl { */ public interface Grammar { - /** [**drop**][ColumnsSelectionDsl.drop]`(`[**Last**][ColumnsSelectionDsl.dropLast]`)` */ + /** [**`drop`**][ColumnsSelectionDsl.drop]`(`[**`Last`**][ColumnsSelectionDsl.dropLast]`)` */ public interface PlainDslName - /** \**`.`**[**drop**][ColumnsSelectionDsl.drop]`(`[**Last**][ColumnSet.dropLast]`)` */ + /** __`.`__[**`drop`**][ColumnsSelectionDsl.drop]`(`[**`Last`**][ColumnSet.dropLast]`)` */ public interface ColumnSetName - /** \**`.`**[**drop**][ColumnsSelectionDsl.dropCols]`(`[**Last**][ColumnsSelectionDsl.dropLastCols]`)`[**Cols**][ColumnsSelectionDsl.dropCols] */ + /** __`.`__[**`drop`**][ColumnsSelectionDsl.dropCols]`(`[**`Last`**][ColumnsSelectionDsl.dropLastCols]`)`[**`Cols`**][ColumnsSelectionDsl.dropCols] */ public interface ColumnGroupName - /** [**drop**][ColumnsSelectionDsl.dropWhile]`(`[**Last**][ColumnsSelectionDsl.dropLastWhile]`)`[**While**][ColumnsSelectionDsl.dropWhile] */ + /** [**`drop`**][ColumnsSelectionDsl.dropWhile]`(`[**`Last`**][ColumnsSelectionDsl.dropLastWhile]`)`[**`While`**][ColumnsSelectionDsl.dropWhile] */ public interface PlainDslWhileName - /** \**`.`**[**drop**][ColumnsSelectionDsl.dropWhile]`(`[**Last**][ColumnsSelectionDsl.dropLastWhile]`)`[**While**][ColumnsSelectionDsl.dropWhile] */ + /** __`.`__[**`drop`**][ColumnsSelectionDsl.dropWhile]`(`[**`Last`**][ColumnsSelectionDsl.dropLastWhile]`)`[**`While`**][ColumnsSelectionDsl.dropWhile] */ public interface ColumnSetWhileName - /** \**`.`**[**drop**][ColumnsSelectionDsl.dropColsWhile]`(`[**Last**][ColumnsSelectionDsl.dropLastColsWhile]`)`[**ColsWhile**][ColumnsSelectionDsl.dropColsWhile] */ + /** __`.`__[**`drop`**][ColumnsSelectionDsl.dropColsWhile]`(`[**`Last`**][ColumnsSelectionDsl.dropLastColsWhile]`)`[**`ColsWhile`**][ColumnsSelectionDsl.dropColsWhile] */ public interface ColumnGroupWhileName } @@ -119,9 +119,9 @@ public interface DropColumnsSelectionDsl { * @include [CommonDropFirstDocs] * @set [CommonTakeAndDropDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[drop][ColumnSet.drop]`(2) }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[drop][ColumnSet.drop]`(2) }` * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[drop][ColumnSet.drop]`(2) }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[drop][ColumnSet.drop]`(2) }` */ public fun ColumnSet.drop(n: Int): ColumnSet = transform { it.drop(n) } @@ -129,7 +129,7 @@ public interface DropColumnsSelectionDsl { * @include [CommonDropFirstDocs] * @set [CommonTakeAndDropDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[drop][ColumnsSelectionDsl.drop]`(5) }` + * `df.`[select][DataFrame.select]` { `[drop][ColumnsSelectionDsl.drop]`(5) }` */ public fun ColumnsSelectionDsl<*>.drop(n: Int): ColumnSet<*> = asSingleColumn().dropCols(n) @@ -184,9 +184,9 @@ public interface DropColumnsSelectionDsl { * @include [CommonDropLastDocs] * @set [CommonTakeAndDropDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[dropLast][ColumnSet.dropLast]`(2) }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[dropLast][ColumnSet.dropLast]`(2) }` * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[dropLast][ColumnSet.dropLast]`() }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[dropLast][ColumnSet.dropLast]`() }` */ public fun ColumnSet.dropLast(n: Int = 1): ColumnSet = transform { it.dropLast(n) } @@ -194,7 +194,7 @@ public interface DropColumnsSelectionDsl { * @include [CommonDropLastDocs] * @set [CommonTakeAndDropDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[dropLast][ColumnsSelectionDsl.dropLast]`(5) }` + * `df.`[select][DataFrame.select]` { `[dropLast][ColumnsSelectionDsl.dropLast]`(5) }` */ public fun ColumnsSelectionDsl<*>.dropLast(n: Int = 1): ColumnSet<*> = this.asSingleColumn().dropLastCols(n) @@ -249,9 +249,9 @@ public interface DropColumnsSelectionDsl { * @include [CommonDropWhileDocs] * @set [CommonTakeAndDropWhileDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[dropWhile][ColumnSet.dropWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[dropWhile][ColumnSet.dropWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[dropWhile][ColumnSet.dropWhile]` { it.`[name][ColumnWithPath.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[dropWhile][ColumnSet.dropWhile]` { it.`[name][ColumnWithPath.name]`.`[startsWith][String.startsWith]`("my") } }` */ public fun ColumnSet.dropWhile(predicate: ColumnFilter): ColumnSet = transform { it.dropWhile(predicate) } @@ -260,7 +260,7 @@ public interface DropColumnsSelectionDsl { * @include [CommonDropWhileDocs] * @set [CommonTakeAndDropWhileDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[dropWhile][ColumnsSelectionDsl.dropWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` + * `df.`[select][DataFrame.select]` { `[dropWhile][ColumnsSelectionDsl.dropWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` */ public fun ColumnsSelectionDsl<*>.dropWhile(predicate: ColumnFilter<*>): ColumnSet<*> = this.asSingleColumn().dropColsWhile(predicate) @@ -318,9 +318,9 @@ public interface DropColumnsSelectionDsl { * @include [CommonDropLastWhileDocs] * @set [CommonTakeAndDropWhileDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[dropLastWhile][ColumnSet.dropLastWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[dropLastWhile][ColumnSet.dropLastWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[dropLastWhile][ColumnSet.dropLastWhile]` { it.`[name][ColumnWithPath.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[dropLastWhile][ColumnSet.dropLastWhile]` { it.`[name][ColumnWithPath.name]`.`[startsWith][String.startsWith]`("my") } }` */ public fun ColumnSet.dropLastWhile(predicate: ColumnFilter): ColumnSet = transform { it.dropLastWhile(predicate) } @@ -329,7 +329,7 @@ public interface DropColumnsSelectionDsl { * @include [CommonDropLastWhileDocs] * @set [CommonTakeAndDropWhileDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[dropLastWhile][ColumnsSelectionDsl.dropLastWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` + * `df.`[select][DataFrame.select]` { `[dropLastWhile][ColumnsSelectionDsl.dropLastWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` */ public fun ColumnsSelectionDsl<*>.dropLastWhile(predicate: ColumnFilter<*>): ColumnSet<*> = this.asSingleColumn().dropLastColsWhile(predicate) diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/expr.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/expr.kt index 71757bd1c..90c02a01d 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/expr.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/expr.kt @@ -31,14 +31,14 @@ public interface ExprColumnsSelectionDsl { * {@include [DslGrammarTemplate.ColumnExpressionDef]} * } * {@set [DslGrammarTemplate.PlainDslFunctionsArg] - * {@include [PlainDslName]}**`(`**`[`{@include [DslGrammarTemplate.NameRef]}**`,`**`][`{@include [DslGrammarTemplate.InferRef]}`]`**`)`** **`{ `**{@include [DslGrammarTemplate.ColumnExpressionRef]}**` \}`** + * {@include [PlainDslName]}**`(`**`[`{@include [DslGrammarTemplate.NameRef]}**`,`**`][`{@include [DslGrammarTemplate.InferRef]}`]`**`) { `**{@include [DslGrammarTemplate.ColumnExpressionRef]}**` \}`** * } * {@set [DslGrammarTemplate.ColumnSetPart]} * {@set [DslGrammarTemplate.ColumnGroupPart]} */ public interface Grammar { - /** [**expr**][ColumnsSelectionDsl.expr] */ + /** [**`expr`**][ColumnsSelectionDsl.expr] */ public interface PlainDslName } } @@ -52,9 +52,9 @@ public interface ExprColumnsSelectionDsl { * * #### For example: * - * `df.`[groupBy][DataFrame.groupBy]` { `[expr][ColumnsSelectionDsl.expr]` { firstName.`[length][String.length]` + lastName.`[length][String.length]` } `[named][named]` "nameLength" }` + * `df.`[groupBy][DataFrame.groupBy]` { `[`expr`][ColumnsSelectionDsl.expr]` { firstName.`[`length`][String.length]` + lastName.`[`length`][String.length]` } `[`named`][named]` "nameLength" }` * - * `df.`[sortBy][DataFrame.sortBy]` { `[expr][ColumnsSelectionDsl.expr]` { name.`[length][String.length]` }.`[desc][SortDsl.desc]`() }` + * `df.`[sortBy][DataFrame.sortBy]` { `[`expr`][ColumnsSelectionDsl.expr]` { name.`[`length`][String.length]` }.`[`desc`][SortDsl.desc]`() }` * * @param [name] The name the temporary column. Is empty by default ("untitled" in the DataFrame). * @include [Infer.ParamDoc] By default: [Nulls][Infer.Nulls]. diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/filter.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/filter.kt index 5bc51a0a8..ca2749f59 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/filter.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/filter.kt @@ -73,7 +73,7 @@ public interface FilterColumnsSelectionDsl { * } * * {@set [DslGrammarTemplate.ColumnSetFunctionsArg] - * {@include [Indent]}{@include [ColumnSetName]}**` {`** {@include [DslGrammarTemplate.ConditionRef]} **`\}`** + * {@include [Indent]}{@include [ColumnSetName]}**` { `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** * } * * {@set [DslGrammarTemplate.PlainDslPart]} @@ -81,7 +81,7 @@ public interface FilterColumnsSelectionDsl { */ public interface Grammar { - /** \**`.`**[**filter**][ColumnsSelectionDsl.filter] */ + /** __`.`__[**`filter`**][ColumnsSelectionDsl.filter] */ public interface ColumnSetName } @@ -98,13 +98,13 @@ public interface FilterColumnsSelectionDsl { * * #### For example: * - * `df.`[remove][DataFrame.remove]` { `[all][ColumnsSelectionDsl.all]`().`[filter][ColumnSet.filter]` { it.`[hasNulls][DataColumn.hasNulls]`() } }` + * `df.`[`remove`][DataFrame.remove]` { `[`all`][ColumnsSelectionDsl.all]`().`[`filter`][ColumnSet.filter]` { it.`[`hasNulls`][DataColumn.hasNulls]`() } }` * - * `// and although this can be shortened to just the `[colsOf][colsOf]` call:` + * `// and although this can be shortened to just the `[`colsOf`][colsOf]` call:` * - * `df.`[select][DataFrame.select]` { `[colsOf][colsOf]`<`[String][String]`>().`[filter][ColumnSet.filter]` { "e" `[in][String.contains]` it.`[name][ColumnPath.name]`() } }` + * `df.`[`select`][DataFrame.select]` { `[`colsOf`][colsOf]`<`[`String`][String]`>().`[`filter`][ColumnSet.filter]` { "e" `[`in`][String.contains]` it.`[`name`][ColumnPath.name]`() } }` * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>()`[`[`][ColumnsSelectionDsl.cols]`{ it.`[any][ColumnWithPath.any]` { it == "Alice" } }`[`]`][ColumnsSelectionDsl.cols]` }` + * `df.`[`select`][DataFrame.select]` { `[`colsOf`][SingleColumn.colsOf]`<`[`String`][String]`>()`[`[`][ColumnsSelectionDsl.cols]`{ it.`[`any`][ColumnWithPath.any]` { it == "Alice" } }`[`]`][ColumnsSelectionDsl.cols]` }` * * @param [predicate] A [ColumnFilter function][ColumnFilter] that takes a [ColumnReference] and returns a [Boolean]. * @return A [ColumnSet] containing the columns that match the given [predicate]. diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/first.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/first.kt index 4bbbc3dde..4211c0b57 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/first.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/first.kt @@ -104,26 +104,26 @@ public interface FirstColumnsSelectionDsl { * } * * {@set [DslGrammarTemplate.PlainDslFunctionsArg] - * {@include [PlainDslName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [PlainDslName]}` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * } * * {@set [DslGrammarTemplate.ColumnSetFunctionsArg] - * {@include [Indent]}{@include [ColumnSetName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}{@include [ColumnSetName]}` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * } * * {@set [DslGrammarTemplate.ColumnGroupFunctionsArg] - * {@include [Indent]}{@include [ColumnGroupName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}{@include [ColumnGroupName]}` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * } */ public interface Grammar { - /** [**first**][ColumnsSelectionDsl.first] */ + /** [**`first`**][ColumnsSelectionDsl.first] */ public interface PlainDslName - /** \**`.`**[**first**][ColumnsSelectionDsl.first] */ + /** __`.`__[**`first`**][ColumnsSelectionDsl.first] */ public interface ColumnSetName - /** \**`.`**[**firstCol**][ColumnsSelectionDsl.firstCol] */ + /** __`.`__[**`firstCol`**][ColumnsSelectionDsl.firstCol] */ public interface ColumnGroupName } @@ -141,7 +141,7 @@ public interface FirstColumnsSelectionDsl { * * #### Examples: * - * `df.`[select][DataFrame.select]` { `[first][ColumnsSelectionDsl.first]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` + * `df.`[select][DataFrame.select]` { `[first][ColumnsSelectionDsl.first]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * * `df.`[select][DataFrame.select]` { "myColumnGroup".`[firstCol][String.firstCol]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` * @@ -164,9 +164,9 @@ public interface FirstColumnsSelectionDsl { /** * @include [CommonFirstDocs] * @set [CommonFirstDocs.Examples] - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[first][ColumnSet.first]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[first][ColumnSet.first]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[first][ColumnSet.first]`() }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[first][ColumnSet.first]`() }` */ @Suppress("UNCHECKED_CAST") public fun ColumnSet.first(condition: ColumnFilter = { true }): TransformableSingleColumn = @@ -178,7 +178,7 @@ public interface FirstColumnsSelectionDsl { * @include [CommonFirstDocs] * @set [CommonFirstDocs.Examples] * - * `df.`[select][DataFrame.select]` { `[first][ColumnsSelectionDsl.first]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` + * `df.`[select][DataFrame.select]` { `[first][ColumnsSelectionDsl.first]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` */ public fun ColumnsSelectionDsl<*>.first(condition: ColumnFilter<*> = { true }): TransformableSingleColumn<*> = asSingleColumn().firstCol(condition) diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCol.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCol.kt index d23cca834..26e42aac9 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCol.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCol.kt @@ -50,7 +50,7 @@ public interface FrameColColumnsSelectionDsl { * } * * {@set [DslGrammarTemplate.PlainDslFunctionsArg] - * {@include [PlainDslName]}`[`**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**`]`**`(`**{@include [DslGrammarTemplate.ColumnRef]}` | `{@include [DslGrammarTemplate.IndexRef]}**`)`** + * {@include [PlainDslName]}`[`**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**`]`**`(`**{@include [DslGrammarTemplate.ColumnRef]}` | `{@include [DslGrammarTemplate.IndexRef]}**`)`** * } * * {@set [DslGrammarTemplate.ColumnSetFunctionsArg] @@ -58,18 +58,18 @@ public interface FrameColColumnsSelectionDsl { * } * * {@set [DslGrammarTemplate.ColumnGroupFunctionsArg] - * {@include [Indent]}{@include [ColumnGroupName]}`[`**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**`]`**`(`**{@include [DslGrammarTemplate.ColumnRef]}` | `{@include [DslGrammarTemplate.IndexRef]}**`)`** + * {@include [Indent]}{@include [ColumnGroupName]}`[`**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**`]`**`(`**{@include [DslGrammarTemplate.ColumnRef]}` | `{@include [DslGrammarTemplate.IndexRef]}**`)`** * } */ public interface Grammar { - /** [**frameCol**][ColumnsSelectionDsl.frameCol] */ + /** [**`frameCol`**][ColumnsSelectionDsl.frameCol] */ public interface PlainDslName - /** \**`.`**[**frameCol**][ColumnsSelectionDsl.frameCol] */ + /** __`.`__[**`frameCol`**][ColumnsSelectionDsl.frameCol] */ public interface ColumnSetName - /** \**`.`**[**frameCol**][ColumnsSelectionDsl.frameCol] */ + /** __`.`__[**`frameCol`**][ColumnsSelectionDsl.frameCol] */ public interface ColumnGroupName } @@ -92,9 +92,9 @@ public interface FrameColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][DataFrame.select]` { `[frameCol][frameCol]`<`[String][String]`>("frameColA") }` + * `df.`[select][DataFrame.select]` { `[frameCol][frameCol]`<`[String][String]`>("frameColA") }` * - * `df.`[select][DataFrame.select]` { `[frameCol][frameCol]`(SomeType::frameColB) }` + * `df.`[select][DataFrame.select]` { `[frameCol][frameCol]`(SomeType::frameColB) }` * * `df.`[select][DataFrame.select]` { myColumnGroup.`[frameCol][frameCol]`(1) }` * diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCols.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCols.kt index ca491bf7d..faa74e5d3 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCols.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/frameCols.kt @@ -42,26 +42,26 @@ public interface FrameColsColumnsSelectionDsl { * } * * {@set [DslGrammarTemplate.PlainDslFunctionsArg] - * {@include [PlainDslName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [PlainDslName]}` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * } * * {@set [DslGrammarTemplate.ColumnSetFunctionsArg] - * {@include [Indent]}{@include [ColumnSetName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}{@include [ColumnSetName]}` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * } * * {@set [DslGrammarTemplate.ColumnGroupFunctionsArg] - * {@include [Indent]}{@include [ColumnGroupName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}{@include [ColumnGroupName]}` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * } */ public interface Grammar { - /** [**frameCols**][ColumnsSelectionDsl.colGroups] */ + /** [**`frameCols`**][ColumnsSelectionDsl.colGroups] */ public interface PlainDslName - /** \**`.`**[**frameCols**][ColumnsSelectionDsl.colGroups] */ + /** __`.`__[**`frameCols`**][ColumnsSelectionDsl.colGroups] */ public interface ColumnSetName - /** \**`.`**[**frameCols**][ColumnsSelectionDsl.colGroups] */ + /** __`.`__[**`frameCols`**][ColumnsSelectionDsl.colGroups] */ public interface ColumnGroupName } @@ -78,9 +78,9 @@ public interface FrameColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][DataFrame.select]` { `[frameCols][SingleColumn.frameCols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[frameCols][SingleColumn.frameCols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]`().`[frameCols][SingleColumn.frameCols]`() }` + * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]`().`[frameCols][SingleColumn.frameCols]`() }` * * `df.`[select][DataFrame.select]` { "myColGroup".`[frameCols][String.frameCols]`() }` * @@ -105,11 +105,11 @@ public interface FrameColsColumnsSelectionDsl { * @include [CommonFrameColsDocs] * @set [CommonFrameColsDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") }.`[frameCols][ColumnSet.frameCols]`() }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") }.`[frameCols][ColumnSet.frameCols]`() }` * * `// NOTE: This can be shortened to just:` * - * `df.`[select][DataFrame.select]` { `[frameCols][ColumnsSelectionDsl.frameCols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[frameCols][ColumnsSelectionDsl.frameCols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` */ public fun ColumnSet<*>.frameCols(filter: Predicate> = { true }): TransformableColumnSet> = frameColumnsInternal(filter) @@ -118,9 +118,9 @@ public interface FrameColsColumnsSelectionDsl { * @include [CommonFrameColsDocs] * @set [CommonFrameColsDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[frameCols][ColumnsSelectionDsl.frameCols]`() }` + * `df.`[select][DataFrame.select]` { `[frameCols][ColumnsSelectionDsl.frameCols]`() }` * - * `df.`[select][DataFrame.select]` { `[frameCols][ColumnsSelectionDsl.frameCols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[frameCols][ColumnsSelectionDsl.frameCols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` */ public fun ColumnsSelectionDsl<*>.frameCols(filter: Predicate> = { true }): TransformableColumnSet> = asSingleColumn().frameColumnsInternal(filter) @@ -151,7 +151,7 @@ public interface FrameColsColumnsSelectionDsl { * @include [CommonFrameColsDocs] * @set [CommonFrameColsDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[colGroup][ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[frameCols][SingleColumn.frameCols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[colGroup][ColumnsSelectionDsl.colGroup]`(Type::myColGroup).`[frameCols][SingleColumn.frameCols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * * `df.`[select][DataFrame.select]` { Type::myColGroup.`[frameCols][SingleColumn.frameCols]`() }` * diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/last.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/last.kt index 7dd6f80d9..bd38530d1 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/last.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/last.kt @@ -104,26 +104,26 @@ public interface LastColumnsSelectionDsl { * } * * {@set [DslGrammarTemplate.PlainDslFunctionsArg] - * {@include [PlainDslName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [PlainDslName]}` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * } * * {@set [DslGrammarTemplate.ColumnSetFunctionsArg] - * {@include [Indent]}{@include [ColumnSetName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}{@include [ColumnSetName]}` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * } * * {@set [DslGrammarTemplate.ColumnGroupFunctionsArg] - * {@include [Indent]}{@include [ColumnGroupName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}{@include [ColumnGroupName]}` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * } */ public interface Grammar { - /** [**last**][ColumnsSelectionDsl.last] */ + /** [**`last`**][ColumnsSelectionDsl.last] */ public interface PlainDslName - /** \**`.`**[**last**][ColumnsSelectionDsl.last] */ + /** __`.`__[**`last`**][ColumnsSelectionDsl.last] */ public interface ColumnSetName - /** \**`.`**[**lastCol**][ColumnsSelectionDsl.lastCol] */ + /** __`.`__[**`lastCol`**][ColumnsSelectionDsl.lastCol] */ public interface ColumnGroupName } @@ -140,7 +140,7 @@ public interface LastColumnsSelectionDsl { * * #### Examples: * - * `df.`[select][DataFrame.select]` { `[last][ColumnsSelectionDsl.last]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` + * `df.`[select][DataFrame.select]` { `[last][ColumnsSelectionDsl.last]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * * `df.`[select][DataFrame.select]` { "myColumnGroup".`[lastCol][String.lastCol]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * @@ -163,9 +163,9 @@ public interface LastColumnsSelectionDsl { /** * @include [CommonLastDocs] * @set [CommonLastDocs.Examples] - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[last][ColumnSet.last]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[last][ColumnSet.last]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[last][ColumnSet.last]`() }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[last][ColumnSet.last]`() }` */ @Suppress("UNCHECKED_CAST") public fun ColumnSet.last(condition: ColumnFilter = { true }): TransformableSingleColumn = @@ -177,7 +177,7 @@ public interface LastColumnsSelectionDsl { * @include [CommonLastDocs] * @set [CommonLastDocs.Examples] * - * `df.`[select][DataFrame.select]` { `[last][ColumnsSelectionDsl.last]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` + * `df.`[select][DataFrame.select]` { `[last][ColumnsSelectionDsl.last]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` */ public fun ColumnsSelectionDsl<*>.last(condition: ColumnFilter<*> = { true }): TransformableSingleColumn<*> = asSingleColumn().lastCol(condition) diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/none.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/none.kt index e85566bcc..bb26591e8 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/none.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/none.kt @@ -30,7 +30,7 @@ public interface NoneColumnsSelectionDsl { */ public interface Grammar { - /** [**none**][ColumnsSelectionDsl.none] */ + /** [**`none`**][ColumnsSelectionDsl.none] */ public interface PlainDslName } @@ -45,7 +45,7 @@ public interface NoneColumnsSelectionDsl { * * #### For example: * - * `df.`[groupBy][DataFrame.groupBy]` { `[none][none]`() }` + * `df.`[groupBy][DataFrame.groupBy]` { `[`none`][none]`() }` * * @return An empty [ColumnsResolver]. */ diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/rename.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/rename.kt index 57d831426..7b6e8ed94 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/rename.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/rename.kt @@ -125,7 +125,7 @@ public interface RenameColumnsSelectionDsl { * } * * {@set [DslGrammarTemplate.PlainDslFunctionsArg] - * {@include [DslGrammarTemplate.ColumnRef]} {@include [InfixNamedName]}`/`{@include [InfixIntoName]} {@include [DslGrammarTemplate.ColumnRef]} + * {@include [DslGrammarTemplate.ColumnRef]}` `{@include [InfixNamedName]}`/`{@include [InfixIntoName]}` `{@include [DslGrammarTemplate.ColumnRef]} * * `| `{@include [DslGrammarTemplate.ColumnRef]}{@include [NamedName]}**`(`**{@include [DslGrammarTemplate.ColumnRef]}**`)`** * @@ -143,10 +143,10 @@ public interface RenameColumnsSelectionDsl { /** [**into**][ColumnsSelectionDsl.into] */ public interface InfixIntoName - /** \**`.`**[**named**][ColumnsSelectionDsl.named] */ + /** __`.`__[**named**][ColumnsSelectionDsl.named] */ public interface NamedName - /** \**`.`**[**into**][ColumnsSelectionDsl.into] */ + /** __`.`__[**into**][ColumnsSelectionDsl.into] */ public interface IntoName } @@ -161,15 +161,15 @@ public interface RenameColumnsSelectionDsl { * * #### For Example: * - * `df.`[select][DataFrame.select]` { name `[named][ColumnReference.named]` "Full Name" }` + * `df.`[select][DataFrame.select]` { name `[named][ColumnReference.named]` "Full Name" }` * - * `df.`[select][DataFrame.select]` { `[expr][expr]` { 0 } `[into][ColumnReference.into]` "zeroes" }` + * `df.`[select][DataFrame.select]` { `[expr][expr]` { 0 } `[into][ColumnReference.into]` "zeroes" }` * - * `df.`[select][DataFrame.select]` { "colA" `[named][String.named]` Type::colB }` + * `df.`[select][DataFrame.select]` { "colA" `[named][String.named]` Type::colB }` * * #### Example for this overload: * - * `df.`[select][DataFrame.select]` { {@get [CommonRenameDocs.ReceiverArg]} `[{@get [CommonRenameDocs.FunctionNameArg]}][{@get [CommonRenameDocs.ReceiverTypeArg]}.{@get [CommonRenameDocs.FunctionNameArg]}]` {@get [CommonRenameDocs.ParamArg]} }` + * `df.`[select][DataFrame.select]` { {@get [CommonRenameDocs.ReceiverArg]} `[{@get [CommonRenameDocs.FunctionNameArg]}][{@get [CommonRenameDocs.ReceiverTypeArg]}.{@get [CommonRenameDocs.FunctionNameArg]}]` {@get [CommonRenameDocs.ParamArg]} }` * * @receiver The [{@get [ReceiverTypeArg]}] referencing the column to rename. * @param [{@get [ParamNameArg]}\] A [{@get [ParamTypeArg]}\] used to specify the new name of the column. diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/select.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/select.kt index 82a096fa8..68dc26a6c 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/select.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/select.kt @@ -108,16 +108,16 @@ public interface SelectColumnsSelectionDsl { * } * * {@set [DslGrammarTemplate.ColumnGroupFunctionsArg] - * {@include [Indent]}{@include [ColumnGroupName]}**` {`** {@include [DslGrammarTemplate.ColumnsSelectorRef]} **`\}`** + * {@include [Indent]}{@include [ColumnGroupName]}**` { `**{@include [DslGrammarTemplate.ColumnsSelectorRef]}**` \}`** * - * {@include [Indent]}`|`[**` {`**][ColumnsSelectionDsl.select] {@include [DslGrammarTemplate.ColumnsSelectorRef]} [**`\}`**][ColumnsSelectionDsl.select] + * {@include [Indent]}`| `[**`{`**][ColumnsSelectionDsl.select]` `{@include [DslGrammarTemplate.ColumnsSelectorRef]}` `[**`\}`**][ColumnsSelectionDsl.select] * } * {@set [DslGrammarTemplate.PlainDslPart]} * {@set [DslGrammarTemplate.ColumnSetPart]} */ public interface Grammar { - /** \**`.`**[**select**][ColumnsSelectionDsl.select] */ + /** __`.`__[**`select`**][ColumnsSelectionDsl.select] */ public interface ColumnGroupName } @@ -137,13 +137,13 @@ public interface SelectColumnsSelectionDsl { * * #### For example: * - * `df.`[select][DataFrame.select]` { myColGroup.`[select][SingleColumn.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][DataFrame.select]` { myColGroup.`[select][SingleColumn.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` * - * `df.`[select][DataFrame.select]` { "myGroupCol" `[{][String.select]` "colA" and `[expr][ColumnsSelectionDsl.expr]` { 0 } `[}][String.select]` }` + * `df.`[select][DataFrame.select]` { "myGroupCol" `[{][String.select]` "colA" and `[expr][ColumnsSelectionDsl.expr]` { 0 } `[}][String.select]` }` * * `df.`[select][DataFrame.select]` { "pathTo"["myGroupCol"].`[select][ColumnPath.select]` { "colA" and "colB" } }` * - * `df.`[select][DataFrame.select]` { it["myGroupCol"].`[asColumnGroup][DataColumn.asColumnGroup]`()`[() {][SingleColumn.select]` "colA" and "colB" `[}][SingleColumn.select]` }` + * `df.`[select][DataFrame.select]` { it["myGroupCol"].`[asColumnGroup][DataColumn.asColumnGroup]`()`[() {][SingleColumn.select]` "colA" and "colB" `[}][SingleColumn.select]` }` * * #### Examples for this overload: * @@ -168,9 +168,9 @@ public interface SelectColumnsSelectionDsl { * @include [CommonSelectDocs] * @set [CommonSelectDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { myColGroup.`[select][SingleColumn.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][DataFrame.select]` { myColGroup.`[select][SingleColumn.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` * - * `df.`[select][DataFrame.select]` { myColGroup `[{][SingleColumn.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[}][SingleColumn.select]` }` + * `df.`[select][DataFrame.select]` { myColGroup `[`{`][SingleColumn.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[`}`][SingleColumn.select]` }` */ public fun SingleColumn>.select(selector: ColumnsSelector): ColumnSet = selectInternal(selector) @@ -179,9 +179,9 @@ public interface SelectColumnsSelectionDsl { * @include [CommonSelectDocs] * @set [CommonSelectDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { Type::myColGroup.`[select][KProperty.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][DataFrame.select]` { Type::myColGroup.`[select][KProperty.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` * - * `df.`[select][DataFrame.select]` { DataSchemaType::myColGroup `[`{`][KProperty.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[`}`][KProperty.select]` }` + * `df.`[select][DataFrame.select]` { DataSchemaType::myColGroup `[`{`][KProperty.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[`}`][KProperty.select]` }` */ @OptIn(ExperimentalTypeInference::class) @OverloadResolutionByLambdaReturnType @@ -193,9 +193,9 @@ public interface SelectColumnsSelectionDsl { * @include [CommonSelectDocs] * @set [CommonSelectDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { Type::myColGroup.`[select][KProperty.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][DataFrame.select]` { Type::myColGroup.`[select][KProperty.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` * - * `df.`[select][DataFrame.select]` { DataSchemaType::myColGroup `[`{`][KProperty.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[`}`][KProperty.select]` }` + * `df.`[select][DataFrame.select]` { DataSchemaType::myColGroup `[`{`][KProperty.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[`}`][KProperty.select]` }` * * ## NOTE: {@comment TODO fix warning} * If you get a warning `CANDIDATE_CHOSEN_USING_OVERLOAD_RESOLUTION_BY_LAMBDA_ANNOTATION`, you @@ -211,9 +211,9 @@ public interface SelectColumnsSelectionDsl { * @include [SelectColumnsSelectionDsl.CommonSelectDocs] * @set [SelectColumnsSelectionDsl.CommonSelectDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { "myColGroup".`[select][String.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][DataFrame.select]` { "myColGroup".`[select][String.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` * - * `df.`[select][DataFrame.select]` { "myColGroup" `[{][String.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[}][String.select]` }` + * `df.`[select][DataFrame.select]` { "myColGroup" `[`{`][String.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[`}`][String.select]` }` */ public fun String.select(selector: ColumnsSelector<*, R>): ColumnSet = columnGroup(this).select(selector) @@ -222,13 +222,13 @@ public interface SelectColumnsSelectionDsl { * @include [CommonSelectDocs] * @set [CommonSelectDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { "pathTo"["myColGroup"].`[select][ColumnPath.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][DataFrame.select]` { "pathTo"["myColGroup"].`[select][ColumnPath.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` * - * `df.`[select][DataFrame.select]` { "pathTo"["myColGroup"] `[{][ColumnPath.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[}][ColumnPath.select]` }` + * `df.`[select][DataFrame.select]` { "pathTo"["myColGroup"] `[`{`][ColumnPath.select]` colA `[and][ColumnsSelectionDsl.and]` colB `[`}`][ColumnPath.select]` }` * - * `df.`[select][DataFrame.select]` { `[pathOf][pathOf]`("pathTo", "myColGroup").`[select][ColumnPath.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` + * `df.`[select][DataFrame.select]` { `[pathOf][pathOf]`("pathTo", "myColGroup").`[select][ColumnPath.select]` { someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() } }` * - * `df.`[select][DataFrame.select]` { `[pathOf][pathOf]`("pathTo", "myColGroup")`[() {][ColumnPath.select]` someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() `[}][ColumnPath.select]` }` + * `df.`[select][DataFrame.select]` { `[pathOf][pathOf]`("pathTo", "myColGroup")`[`() {`][ColumnPath.select]` someCol `[and][ColumnsSelectionDsl.and]` `[colsOf][SingleColumn.colsOf]`<`[String][String]`>() `[`}`][ColumnPath.select]` }` */ public fun ColumnPath.select(selector: ColumnsSelector<*, R>): ColumnSet = columnGroup(this).select(selector) diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/simplify.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/simplify.kt index fa5204256..9a1fff8b2 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/simplify.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/simplify.kt @@ -39,7 +39,7 @@ public interface SimplifyColumnsSelectionDsl { */ public interface Grammar { - /** \**`.`**[**simplify**][ColumnsSelectionDsl.simplify] */ + /** __`.`__[**`simplify`**][ColumnsSelectionDsl.simplify] */ public interface ColumnSetName } @@ -58,7 +58,7 @@ public interface SimplifyColumnsSelectionDsl { * * [cols][ColumnsSelectionDsl.cols]`(a, a.b, d.c).`[simplify][SimplifyColumnsSelectionDsl.simplify]`() == `[cols][ColumnsSelectionDsl.cols]`(a, d.c)` * {@include [LineBreak]} - * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { "e" `[in][String.contains]` it.`[name][DataColumn.name]` }.`[simplify][ColumnSet.simplify]`() }` + * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]` { "e" `[in][String.contains]` it.`[name][DataColumn.name]` }.`[simplify][ColumnSet.simplify]`() }` * * @return A [ColumnSet][ColumnSet]`<`[C][C]`>` containing only the columns that are not inside any column group in [this]. */ diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/single.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/single.kt index 5fd80421c..69d2fa3db 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/single.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/single.kt @@ -74,26 +74,26 @@ public interface SingleColumnsSelectionDsl { * } * * {@set [DslGrammarTemplate.PlainDslFunctionsArg] - * {@include [PlainDslName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [PlainDslName]}` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * } * * {@set [DslGrammarTemplate.ColumnSetFunctionsArg] - * {@include [Indent]}{@include [ColumnSetName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}{@include [ColumnSetName]}` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * } * * {@set [DslGrammarTemplate.ColumnGroupFunctionsArg] - * {@include [Indent]}{@include [ColumnGroupName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}{@include [ColumnGroupName]}` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * } */ public interface Grammar { - /** [**single**][ColumnsSelectionDsl.single] */ + /** [**`single`**][ColumnsSelectionDsl.single] */ public interface PlainDslName - /** \**`.`**[**single**][ColumnsSelectionDsl.single] */ + /** __`.`__[**`single`**][ColumnsSelectionDsl.single] */ public interface ColumnSetName - /** \**`.`**[**singleCol**][ColumnsSelectionDsl.singleCol] */ + /** __`.`__[**`singleCol`**][ColumnsSelectionDsl.singleCol] */ public interface ColumnGroupName } @@ -111,7 +111,7 @@ public interface SingleColumnsSelectionDsl { * * #### Examples: * - * `df.`[select][DataFrame.select]` { `[single][ColumnsSelectionDsl.single]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` + * `df.`[select][DataFrame.select]` { `[single][ColumnsSelectionDsl.single]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * * `df.`[select][DataFrame.select]` { "myColumnGroup".`[singleCol][String.singleCol]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("order") } }` * @@ -133,9 +133,9 @@ public interface SingleColumnsSelectionDsl { /** * @include [CommonSingleDocs] * @set [CommonSingleDocs.Examples] - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[single][ColumnSet.single]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[single][ColumnSet.single]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[single][ColumnSet.single]`() }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[Int][Int]`>().`[single][ColumnSet.single]`() }` */ public fun ColumnSet.single(condition: ColumnFilter = { true }): TransformableSingleColumn = singleInternal(condition) @@ -144,7 +144,7 @@ public interface SingleColumnsSelectionDsl { * @include [CommonSingleDocs] * @set [CommonSingleDocs.Examples] * - * `df.`[select][DataFrame.select]` { `[single][ColumnsSelectionDsl.single]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` + * `df.`[select][DataFrame.select]` { `[single][ColumnsSelectionDsl.single]` { it.`[name][ColumnReference.name]`().`[startsWith][String.startsWith]`("year") } }` */ public fun ColumnsSelectionDsl<*>.single(condition: ColumnFilter<*> = { true }): TransformableSingleColumn<*> = asSingleColumn().singleCol(condition) diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/take.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/take.kt index f281d8640..24bce98ff 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/take.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/take.kt @@ -77,22 +77,22 @@ public interface TakeColumnsSelectionDsl { */ public interface Grammar { - /** [**take**][ColumnsSelectionDsl.take]`(`[**Last**][ColumnsSelectionDsl.takeLast]`)` */ + /** [**`take`**][ColumnsSelectionDsl.take]`(`[**`Last`**][ColumnsSelectionDsl.takeLast]`)` */ public interface PlainDslName - /** \**`.`**[**take**][ColumnsSelectionDsl.take]`(`[**Last**][ColumnSet.takeLast]`)` */ + /** __`.`__[**`take`**][ColumnsSelectionDsl.take]`(`[**`Last`**][ColumnSet.takeLast]`)` */ public interface ColumnSetName - /** \**`.`**[**take**][ColumnsSelectionDsl.takeCols]`(`[**Last**][ColumnsSelectionDsl.takeLastCols]`)`[**Cols**][ColumnsSelectionDsl.takeCols] */ + /** __`.`__[**`take`**][ColumnsSelectionDsl.takeCols]`(`[**`Last`**][ColumnsSelectionDsl.takeLastCols]`)`[**`Cols`**][ColumnsSelectionDsl.takeCols] */ public interface ColumnGroupName - /** [**take**][ColumnsSelectionDsl.takeWhile]`(`[**Last**][ColumnsSelectionDsl.takeLastWhile]`)`[**While**][ColumnsSelectionDsl.takeWhile] */ + /** [**`take`**][ColumnsSelectionDsl.takeWhile]`(`[**`Last`**][ColumnsSelectionDsl.takeLastWhile]`)`[**`While`**][ColumnsSelectionDsl.takeWhile] */ public interface PlainDslWhileName - /** \**`.`**[**take**][ColumnsSelectionDsl.takeWhile]`(`[**Last**][ColumnsSelectionDsl.takeLastWhile]`)`[**While**][ColumnsSelectionDsl.takeWhile] */ + /** __`.`__[**`take`**][ColumnsSelectionDsl.takeWhile]`(`[**`Last`**][ColumnsSelectionDsl.takeLastWhile]`)`[**`While`**][ColumnsSelectionDsl.takeWhile] */ public interface ColumnSetWhileName - /** \**`.`**[**take**][ColumnsSelectionDsl.takeColsWhile]`(`[**Last**][ColumnsSelectionDsl.takeLastColsWhile]`)`[**ColsWhile**][ColumnsSelectionDsl.takeColsWhile] */ + /** __`.`__[**`take`**][ColumnsSelectionDsl.takeColsWhile]`(`[**`Last`**][ColumnsSelectionDsl.takeLastColsWhile]`)`[**`ColsWhile`**][ColumnsSelectionDsl.takeColsWhile] */ public interface ColumnGroupWhileName } @@ -111,9 +111,9 @@ public interface TakeColumnsSelectionDsl { * @include [CommonTakeFirstDocs] * @set [CommonTakeAndDropDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[take][ColumnSet.take]`(2) }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[take][ColumnSet.take]`(2) }` * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[take][ColumnSet.take]`(2) }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[take][ColumnSet.take]`(2) }` */ public fun ColumnSet.take(n: Int): ColumnSet = transform { it.take(n) } @@ -121,7 +121,7 @@ public interface TakeColumnsSelectionDsl { * @include [CommonTakeFirstDocs] * @set [CommonTakeAndDropDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[take][ColumnsSelectionDsl.take]`(5) }` + * `df.`[select][DataFrame.select]` { `[take][ColumnsSelectionDsl.take]`(5) }` */ public fun ColumnsSelectionDsl<*>.take(n: Int): ColumnSet<*> = this.asSingleColumn().takeCols(n) @@ -178,9 +178,9 @@ public interface TakeColumnsSelectionDsl { * @include [CommonTakeLastDocs] * @set [CommonTakeAndDropDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[takeLast][ColumnSet.takeLast]`(2) }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[takeLast][ColumnSet.takeLast]`(2) }` * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[takeLast][ColumnSet.takeLast]`(2) }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[takeLast][ColumnSet.takeLast]`(2) }` */ public fun ColumnSet.takeLast(n: Int = 1): ColumnSet = transform { it.takeLast(n) } @@ -188,7 +188,7 @@ public interface TakeColumnsSelectionDsl { * @include [CommonTakeLastDocs] * @set [CommonTakeAndDropDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[takeLast][ColumnsSelectionDsl.takeLast]`(5) }` + * `df.`[select][DataFrame.select]` { `[takeLast][ColumnsSelectionDsl.takeLast]`(5) }` */ public fun ColumnsSelectionDsl<*>.takeLast(n: Int = 1): ColumnSet<*> = asSingleColumn().takeLastCols(n) @@ -245,9 +245,9 @@ public interface TakeColumnsSelectionDsl { * @include [CommonTakeFirstWhileDocs] * @set [CommonTakeAndDropWhileDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[takeWhile][ColumnSet.takeWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[takeWhile][ColumnSet.takeWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[takeWhile][ColumnSet.takeWhile]` { it.`[name][ColumnWithPath.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[takeWhile][ColumnSet.takeWhile]` { it.`[name][ColumnWithPath.name]`.`[startsWith][String.startsWith]`("my") } }` */ public fun ColumnSet.takeWhile(predicate: ColumnFilter): ColumnSet = transform { it.takeWhile(predicate) } @@ -256,7 +256,7 @@ public interface TakeColumnsSelectionDsl { * @include [CommonTakeFirstWhileDocs] * @set [CommonTakeAndDropWhileDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[takeWhile][ColumnsSelectionDsl.takeWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` + * `df.`[select][DataFrame.select]` { `[takeWhile][ColumnsSelectionDsl.takeWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` */ public fun ColumnsSelectionDsl<*>.takeWhile(predicate: ColumnFilter<*>): ColumnSet<*> = asSingleColumn().takeColsWhile(predicate) @@ -316,9 +316,9 @@ public interface TakeColumnsSelectionDsl { * @include [CommonTakeLastWhileDocs] * @set [CommonTakeAndDropWhileDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[takeLastWhile][ColumnSet.takeLastWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` + * `df.`[select][DataFrame.select]` { `[colsOf][SingleColumn.colsOf]`<`[String][String]`>().`[takeLastWhile][ColumnSet.takeLastWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[takeLastWhile][ColumnSet.takeLastWhile]` { it.`[name][ColumnWithPath.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[takeLastWhile][ColumnSet.takeLastWhile]` { it.`[name][ColumnWithPath.name]`.`[startsWith][String.startsWith]`("my") } }` */ public fun ColumnSet.takeLastWhile(predicate: ColumnFilter): ColumnSet = transform { it.takeLastWhile(predicate) } @@ -327,7 +327,7 @@ public interface TakeColumnsSelectionDsl { * @include [CommonTakeLastWhileDocs] * @set [CommonTakeAndDropWhileDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[takeLastWhile][ColumnsSelectionDsl.takeLastWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` + * `df.`[select][DataFrame.select]` { `[takeLastWhile][ColumnsSelectionDsl.takeLastWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` */ public fun ColumnsSelectionDsl<*>.takeLastWhile(predicate: ColumnFilter<*>): ColumnSet<*> = asSingleColumn().takeLastColsWhile(predicate) diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/update.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/update.kt index ba98187f8..3247aaa29 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/update.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/update.kt @@ -61,36 +61,36 @@ public data class Update( * {@include [DslGrammarLink]} * {@include [LineBreak]} * - * {@get [UpdateOperationArg]}**` { `**[columns][SelectingColumns]**` }`** + * {@get [UpdateOperationArg]}**` { `**[`columns`][SelectingColumns]**` }`** * * {@include [Indent]} - * `[ .`[**where**][Update.where]**` { `**[rowValueCondition][SelectingRows.RowValueCondition.WithExample]**` } `**`]` + * `[ `__`.`__[**`where`**][Update.where]**` { `**[`rowValueCondition`][SelectingRows.RowValueCondition.WithExample]**` } `**`]` * * {@include [Indent]} - * `[ .`[**at**][Update.at]**`(`**[rowIndices][CommonUpdateAtFunctionDoc.RowIndicesParam]**`)`**` ]` + * `[ `__`.`__[**`at`**][Update.at]**`(`**[`rowIndices`][CommonUpdateAtFunctionDoc.RowIndicesParam]**`)`**` ]` * * {@include [Indent]} - * `.`[**with**][Update.with]**` { `**[rowExpression][ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** + * __`.`__[**`with`**][Update.with]**` { `**[`rowExpression`][ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** * * {@include [Indent]} - * `| .`[**notNull**][Update.notNull]**` { `**[rowExpression][ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** + * `| `__`.`__[**`notNull`**][Update.notNull]**` { `**[`rowExpression`][ExpressionsGivenRow.RowValueExpression.WithExample]**` }`** * * {@include [Indent]} - * `| .`[**perCol**][Update.perCol]**` { `**[colExpression][ExpressionsGivenColumn.ColumnExpression.WithExample]**` }`** + * `| `__`.`__[**`perCol`**][Update.perCol]**` { `**[`colExpression`][ExpressionsGivenColumn.ColumnExpression.WithExample]**` }`** * * {@include [Indent]} - * `| .`[**perRowCol**][Update.perRowCol]**` { `**[rowColExpression][ExpressionsGivenRowAndColumn.RowColumnExpression.WithExample]**` }`** + * `| `__`.`__[**`perRowCol`**][Update.perRowCol]**` { `**[`rowColExpression`][ExpressionsGivenRowAndColumn.RowColumnExpression.WithExample]**` }`** * * {@include [Indent]} - * `| .`[**withNull**][Update.withNull]**`()`** + * `| `__`.`__[**`withNull`**][Update.withNull]**`()`** * * {@include [Indent]} - * `| .`[**withZero**][Update.withZero]**`()`** + * `| `__`.`__[**`withZero`**][Update.withZero]**`()`** * * {@include [Indent]} - * `| .`[**asFrame**][Update.asFrame]**` { `**[dataFrameExpression][ExpressionsGivenDataFrame.DataFrameExpression.WithExample]**` }`** + * `| `__`.`__[**`asFrame`**][Update.asFrame]**` { `**[`dataFrameExpression`][ExpressionsGivenDataFrame.DataFrameExpression.WithExample]**` }`** * - * {@set [UpdateOperationArg] [**update**][update]}{@comment The default name of the `update` operation function name.} + * {@set [UpdateOperationArg] [**`update`**][update]}{@comment The default name of the `update` operation function name.} */ public interface Grammar diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCol.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCol.kt index 9495cdf58..a6622737a 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCol.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCol.kt @@ -50,7 +50,7 @@ public interface ValueColColumnsSelectionDsl { * } * * {@set [DslGrammarTemplate.PlainDslFunctionsArg] - * {@include [PlainDslName]}`[`**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**`]`**`(`**{@include [DslGrammarTemplate.ColumnRef]}` | `{@include [DslGrammarTemplate.IndexRef]}**`)`** + * {@include [PlainDslName]}`[`**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**`]`**`(`**{@include [DslGrammarTemplate.ColumnRef]}` | `{@include [DslGrammarTemplate.IndexRef]}**`)`** * } * * {@set [DslGrammarTemplate.ColumnSetFunctionsArg] @@ -58,18 +58,18 @@ public interface ValueColColumnsSelectionDsl { * } * * {@set [DslGrammarTemplate.ColumnGroupFunctionsArg] - * {@include [Indent]}{@include [ColumnGroupName]}`[`**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**`]`**`(`**{@include [DslGrammarTemplate.ColumnRef]}` | `{@include [DslGrammarTemplate.IndexRef]}**`)`** + * {@include [Indent]}{@include [ColumnGroupName]}`[`**`<`**{@include [DslGrammarTemplate.ColumnTypeRef]}**`>`**`]`**`(`**{@include [DslGrammarTemplate.ColumnRef]}` | `{@include [DslGrammarTemplate.IndexRef]}**`)`** * } */ public interface Grammar { - /** [**valueCol**][ColumnsSelectionDsl.valueCol] */ + /** [**`valueCol`**][ColumnsSelectionDsl.valueCol] */ public interface PlainDslName - /** \**`.`**[**valueCol**][ColumnsSelectionDsl.valueCol] */ + /** __`.`__[**`valueCol`**][ColumnsSelectionDsl.valueCol] */ public interface ColumnSetName - /** \**`.`**[**valueCol**][ColumnsSelectionDsl.valueCol] */ + /** __`.`__[**`valueCol`**][ColumnsSelectionDsl.valueCol] */ public interface ColumnGroupName } @@ -92,9 +92,9 @@ public interface ValueColColumnsSelectionDsl { * * #### For example: * - * `df.`[select][DataFrame.select]` { `[valueCol][valueCol]`<`[String][String]`>("valueColA") }` + * `df.`[select][DataFrame.select]` { `[valueCol][valueCol]`<`[String][String]`>("valueColA") }` * - * `df.`[select][DataFrame.select]` { `[valueCol][valueCol]`(SomeType::valueColB) }` + * `df.`[select][DataFrame.select]` { `[valueCol][valueCol]`(SomeType::valueColB) }` * * `df.`[select][DataFrame.select]` { myColumnGroup.`[valueCol][valueCol]`(1) }` * diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCols.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCols.kt index afc5de053..14f251aa3 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCols.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/valueCols.kt @@ -42,26 +42,26 @@ public interface ValueColsColumnsSelectionDsl { * } * * {@set [DslGrammarTemplate.PlainDslFunctionsArg] - * {@include [PlainDslName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [PlainDslName]}` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * } * * {@set [DslGrammarTemplate.ColumnSetFunctionsArg] - * {@include [Indent]}{@include [ColumnSetName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}{@include [ColumnSetName]}` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * } * * {@set [DslGrammarTemplate.ColumnGroupFunctionsArg] - * {@include [Indent]}{@include [ColumnGroupName]}` [` **`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** `]` + * {@include [Indent]}{@include [ColumnGroupName]}` [ `**`{ `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`**` ]` * } */ public interface Grammar { - /** [**valueCols**][ColumnsSelectionDsl.valueCols] */ + /** [**`valueCols`**][ColumnsSelectionDsl.valueCols] */ public interface PlainDslName - /** \**`.`**[**valueCols**][ColumnsSelectionDsl.valueCols] */ + /** __`.`__[**`valueCols`**][ColumnsSelectionDsl.valueCols] */ public interface ColumnSetName - /** \**`.`**[**valueCols**][ColumnsSelectionDsl.valueCols] */ + /** __`.`__[**`valueCols`**][ColumnsSelectionDsl.valueCols] */ public interface ColumnGroupName } @@ -78,9 +78,9 @@ public interface ValueColsColumnsSelectionDsl { * * #### For example: * - * `df.`[select][DataFrame.select]` { `[valueCols][ColumnsSelectionDsl.valueCols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[valueCols][ColumnsSelectionDsl.valueCols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` * - * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]`().`[valueCols][ColumnsSelectionDsl.valueCols]`() }` + * `df.`[select][DataFrame.select]` { `[colsAtAnyDepth][ColumnsSelectionDsl.colsAtAnyDepth]`().`[valueCols][ColumnsSelectionDsl.valueCols]`() }` * * `df.`[select][DataFrame.select]` { "myColGroup".`[valueCols][String.valueCols]`() }` * @@ -105,11 +105,11 @@ public interface ValueColsColumnsSelectionDsl { * @include [CommonValueColsDocs] * @set [CommonValueColsDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") }.`[valueCols][ColumnSet.valueCols]`() }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") }.`[valueCols][ColumnSet.valueCols]`() }` * * `// NOTE: This can be shortened to just:` * - * `df.`[select][DataFrame.select]` { `[valueCols][ColumnsSelectionDsl.valueCols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` + * `df.`[select][DataFrame.select]` { `[valueCols][ColumnsSelectionDsl.valueCols]` { it.`[name][ColumnReference.name]`.`[startsWith][String.startsWith]`("my") } }` */ public fun ColumnSet<*>.valueCols(filter: Predicate> = { true }): TransformableColumnSet<*> = valueColumnsInternal(filter) @@ -118,9 +118,9 @@ public interface ValueColsColumnsSelectionDsl { * @include [CommonValueColsDocs] * @set [CommonValueColsDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[valueCols][ColumnsSelectionDsl.valueCols]`() }` + * `df.`[select][DataFrame.select]` { `[valueCols][ColumnsSelectionDsl.valueCols]`() }` * - * `df.`[select][DataFrame.select]` { `[valueCols][ColumnsSelectionDsl.valueCols]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` + * `df.`[select][DataFrame.select]` { `[valueCols][ColumnsSelectionDsl.valueCols]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` */ public fun ColumnsSelectionDsl<*>.valueCols(filter: Predicate> = { true }): TransformableColumnSet<*> = asSingleColumn().valueColumnsInternal(filter) diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/withoutNulls.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/withoutNulls.kt index 1afbfbeab..e1ab5ee71 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/withoutNulls.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/withoutNulls.kt @@ -49,13 +49,13 @@ public interface WithoutNullsColumnsSelectionDsl { */ public interface Grammar { - /** [**withoutNulls**][ColumnsSelectionDsl.withoutNulls] */ + /** [**`withoutNulls`**][ColumnsSelectionDsl.withoutNulls] */ public interface PlainDslName - /** \**`.`**[**withoutNulls**][ColumnsSelectionDsl.withoutNulls] */ + /** __`.`__[**`withoutNulls`**][ColumnsSelectionDsl.withoutNulls] */ public interface ColumnSetName - /** \**`.`**[**colsWithoutNulls**][ColumnsSelectionDsl.colsWithoutNulls] */ + /** __`.`__[**`colsWithoutNulls`**][ColumnsSelectionDsl.colsWithoutNulls] */ public interface ColumnGroupName } @@ -71,9 +71,9 @@ public interface WithoutNullsColumnsSelectionDsl { * * #### For Example: * - * `df.`[select][DataFrame.select]` { `[all][ColumnsSelectionDsl.all]`().`[nameContains][ColumnsSelectionDsl.colsNameContains]`("middleName").`[withoutNulls][ColumnSet.withoutNulls]`() }` + * `df.`[select][DataFrame.select]` { `[all][ColumnsSelectionDsl.all]`().`[nameContains][ColumnsSelectionDsl.colsNameContains]`("middleName").`[withoutNulls][ColumnSet.withoutNulls]`() }` * - * `df.`[select][DataFrame.select]` { `[withoutNulls][ColumnsSelectionDsl.withoutNulls]`() }` + * `df.`[select][DataFrame.select]` { `[withoutNulls][ColumnsSelectionDsl.withoutNulls]`() }` * * `df.`[select][DataFrame.select]` { Type::userData.`[colsWithoutNulls][SingleColumn.colsWithoutNulls]`() }` * @@ -92,7 +92,7 @@ public interface WithoutNullsColumnsSelectionDsl { * @include [CommonWithoutNullsDocs] * @set [CommonWithoutNullsDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[withoutNulls][ColumnSet.withoutNulls]`() }` + * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { .. }.`[withoutNulls][ColumnSet.withoutNulls]`() }` */ @Suppress("UNCHECKED_CAST") public fun ColumnSet.withoutNulls(): ColumnSet = @@ -102,7 +102,7 @@ public interface WithoutNullsColumnsSelectionDsl { * @include [CommonWithoutNullsDocs] * @set [CommonWithoutNullsDocs.ExampleArg] * - * `df.`[select][DataFrame.select]` { `[withoutNulls][ColumnsSelectionDsl.colsWithoutNulls]`() }` + * `df.`[select][DataFrame.select]` { `[withoutNulls][ColumnsSelectionDsl.colsWithoutNulls]`() }` */ public fun ColumnsSelectionDsl<*>.withoutNulls(): ColumnSet = asSingleColumn().colsWithoutNulls() diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/CommonTakeAndDropWhileDocs.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/CommonTakeAndDropWhileDocs.kt index 80f0af3bc..7498cac00 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/CommonTakeAndDropWhileDocs.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/CommonTakeAndDropWhileDocs.kt @@ -34,11 +34,11 @@ import org.jetbrains.kotlinx.dataframe.documentation.CommonTakeAndDropWhileDocs. * ### Check out: [Usage\] * * #### Examples: - * `df.`[select][DataFrame.select]` { `[cols][ColumnsSelectionDsl.cols]` { "my" `[in][String.contains]` it.`[name][DataColumn.name]` }.`[{@get [OperationArg]}While][ColumnSet.{@get [OperationArg]}While]` { "my" `[in][String.contains]` it.`[name][DataColumn.name]` } }` + * `df.`[select][DataFrame.select]` { `[`cols`][ColumnsSelectionDsl.cols]` { "my" `[`in`][String.contains]` it.`[`name`][DataColumn.name]` }.`[\`{@get [OperationArg]}While\`][ColumnSet.{@get [OperationArg]}While]` { "my" `[`in`][String.contains]` it.`[`name`][DataColumn.name]` } }` * - * `df.`[select][DataFrame.select]` { myColumnGroup.`[{@get [OperationArg]}While][SingleColumn.{@get [OperationArg]}ColsWhile]` { it.`[any][ColumnWithPath.any]` { it == "Alice" } } }` + * `df.`[select][DataFrame.select]` { myColumnGroup.`[\`{@get [OperationArg]}While\`][SingleColumn.{@get [OperationArg]}ColsWhile]` { it.`[`any`][ColumnWithPath.any]` { it == "Alice" } } }` * - * `df.`[select][DataFrame.select]` { "myColumnGroup".`[{@get [OperationArg]}ColsWhile][String.{@get [OperationArg]}ColsWhile]` { it.`[kind][ColumnWithPath.kind]`() == `[ColumnKind.Value][ColumnKind.Value]` } }` + * `df.`[select][DataFrame.select]` { "myColumnGroup".`[\`{@get [OperationArg]}ColsWhile\`][String.{@get [OperationArg]}ColsWhile]` { it.`[`kind`][ColumnWithPath.kind]`() == `[`ColumnKind.Value`][ColumnKind.Value]` } }` * * #### Examples for this overload: * diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/DslGrammarTemplateColumnsSelectionDsl.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/DslGrammarTemplateColumnsSelectionDsl.kt index 8d85476e6..9c6e70cf3 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/DslGrammarTemplateColumnsSelectionDsl.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/DslGrammarTemplateColumnsSelectionDsl.kt @@ -103,162 +103,162 @@ public interface DslGrammarTemplateColumnsSelectionDsl { // region Definitions for at the top of the template /** - * `columnGroupReference: `[String][String]` | `[KProperty][kotlin.reflect.KProperty]`<*>` + * `columnGroupReference: `[`String`][String]` | `[`KProperty`][kotlin.reflect.KProperty]`<*>` * * {@include [QuadrupleIndent]}{@include [QuadrupleIndent]}{@include [Indent]}{@include [HalfIndent]}{@include [QuarterIndent]} - * `| `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] */ public interface ColumnGroupNoSingleColumnDef - /** `colSelector: `[ColumnSelector][ColumnSelector] */ + /** `colSelector: `[`ColumnSelector`][ColumnSelector] */ public interface ColumnSelectorDef - /** `colsSelector: `[ColumnsSelector][ColumnsSelector] */ + /** `colsSelector: `[`ColumnsSelector`][ColumnsSelector] */ public interface ColumnsSelectorDef /** - * `column: `[ColumnAccessor][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[String][String] + * `column: `[`ColumnAccessor`][org.jetbrains.kotlinx.dataframe.columns.ColumnAccessor]` | `[`String`][String] * * {@include [DoubleIndent]}{@include [HalfIndent]}{@include [QuarterIndent]} - * `| `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<*> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] */ public interface ColumnDef /** - * `columnGroup: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[String][String] + * `columnGroup: `[`SingleColumn`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>> | `[`String`][String] * * {@include [QuadrupleIndent]}{@include [Indent]}{@include [QuarterIndent]} - * `| `[KProperty][kotlin.reflect.KProperty]`<* | `[DataRow][DataRow]`<*>> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] + * `| `[`KProperty`][kotlin.reflect.KProperty]`<* | `[`DataRow`][DataRow]`<*>> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] */ public interface ColumnGroupDef - /** `columnNoAccessor: `[String][String]` | `[KProperty][kotlin.reflect.KProperty]`<*> | `[ColumnPath][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] */ + /** `columnNoAccessor: `[`String`][String]` | `[`KProperty`][kotlin.reflect.KProperty]`<*> | `[`ColumnPath`][org.jetbrains.kotlinx.dataframe.columns.ColumnPath] */ public interface ColumnNoAccessorDef /** `columnOrSet: `{@include [ColumnRef]}` | `{@include [ColumnSetRef]} */ public interface ColumnOrColumnSetDef - /** `columnSet: `[ColumnSet][ColumnSet]`<*>` */ + /** `columnSet: `[`ColumnSet`][ColumnSet]`<*>` */ public interface ColumnSetDef - /** `columnsResolver: `[ColumnsResolver][ColumnsResolver] */ + /** `columnsResolver: `[`ColumnsResolver`][ColumnsResolver] */ public interface ColumnsResolverDef - /** `condition: `[ColumnFilter][ColumnFilter] */ + /** `condition: `[`ColumnFilter`][ColumnFilter] */ public interface ConditionDef /** `expression: `{@include [ColumnExpressionLink]} */ public interface ColumnExpressionDef - /** `ignoreCase: `[Boolean][Boolean] */ + /** `ignoreCase: `[`Boolean`][Boolean] */ public interface IgnoreCaseDef - /** `index: `[Int][Int] */ + /** `index: `[`Int`][Int] */ public interface IndexDef - /** `indexRange: `[IntRange][IntRange] */ + /** `indexRange: `[`IntRange`][IntRange] */ public interface IndexRangeDef - /** `infer: `[Infer][org.jetbrains.kotlinx.dataframe.api.Infer] */ + /** `infer: `[`Infer`][org.jetbrains.kotlinx.dataframe.api.Infer] */ public interface InferDef - /** `kind: `[ColumnKind][ColumnKind] */ + /** `kind: `[`ColumnKind`][ColumnKind] */ public interface ColumnKindDef - /** `kType: `[KType][kotlin.reflect.KType] */ + /** `kType: `[`KType`][kotlin.reflect.KType] */ public interface KTypeDef - /** `name: `[String][String] */ + /** `name: `[`String`][String] */ public interface NameDef - /** `number: `[Int][Int] */ + /** `number: `[`Int`][Int] */ public interface NumberDef - /** `regex: `[Regex][Regex] */ + /** `regex: `[`Regex`][Regex] */ public interface RegexDef /** - * `singleColumn: `[SingleColumn][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[DataRow][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` + * `singleColumn: `[`SingleColumn`][org.jetbrains.kotlinx.dataframe.columns.SingleColumn]`<`[`DataRow`][org.jetbrains.kotlinx.dataframe.DataRow]`<*>>` */ public interface SingleColumnDef /** `T: Column type` */ public interface ColumnTypeDef - /** `text: `[String][String] */ + /** `text: `[`String`][String] */ public interface TextDef // endregion // region References to the definitions - /** [columnGroupReference][ColumnGroupNoSingleColumnDef] */ + /** [`columnGroupReference`][ColumnGroupNoSingleColumnDef] */ public interface ColumnGroupNoSingleColumnRef - /** [colSelector][ColumnSelectorDef] */ + /** [`colSelector`][ColumnSelectorDef] */ public interface ColumnSelectorRef - /** [colsSelector][ColumnsSelectorDef] */ + /** [`colsSelector`][ColumnsSelectorDef] */ public interface ColumnsSelectorRef - /** [column][ColumnDef] */ + /** [`column`][ColumnDef] */ public interface ColumnRef - /** [columnGroup][ColumnGroupDef] */ + /** [`columnGroup`][ColumnGroupDef] */ public interface ColumnGroupRef - /** [columnNoAccessor][ColumnNoAccessorDef] */ + /** [`columnNoAccessor`][ColumnNoAccessorDef] */ public interface ColumnNoAccessorRef - /** [columnOrSet][ColumnOrColumnSetDef] */ + /** [`columnOrSet`][ColumnOrColumnSetDef] */ public interface ColumnOrColumnSetRef - /** [columnSet][ColumnSetDef] */ + /** [`columnSet`][ColumnSetDef] */ public interface ColumnSetRef - /** [columnsResolver][ColumnsResolverDef] */ + /** [`columnsResolver`][ColumnsResolverDef] */ public interface ColumnsResolverRef - /** [condition][ConditionDef] */ + /** [`condition`][ConditionDef] */ public interface ConditionRef - /** [expression][ColumnExpressionDef] */ + /** [`expression`][ColumnExpressionDef] */ public interface ColumnExpressionRef - /** [ignoreCase][IgnoreCaseDef] */ + /** [`ignoreCase`][IgnoreCaseDef] */ public interface IgnoreCaseRef - /** [index][IndexDef] */ + /** [`index`][IndexDef] */ public interface IndexRef - /** [indexRange][IndexRangeDef] */ + /** [`indexRange`][IndexRangeDef] */ public interface IndexRangeRef - /** [infer][InferDef] */ + /** [`infer`][InferDef] */ public interface InferRef - /** [kind][ColumnKindDef] */ + /** [`kind`][ColumnKindDef] */ public interface ColumnKindRef - /** [kType][KTypeDef] */ + /** [`kType`][KTypeDef] */ public interface KTypeRef - /** [name][NameDef] */ + /** [`name`][NameDef] */ public interface NameRef - /** [number][NumberDef] */ + /** [`number`][NumberDef] */ public interface NumberRef - /** [regex][RegexDef] */ + /** [`regex`][RegexDef] */ public interface RegexRef - /** [singleColumn][SingleColumnDef] */ + /** [`singleColumn`][SingleColumnDef] */ public interface SingleColumnRef - /** [T][ColumnTypeDef] */ + /** [`T`][ColumnTypeDef] */ public interface ColumnTypeRef - /** [text][TextDef] */ + /** [`text`][TextDef] */ public interface TextRef // endregion @@ -299,10 +299,10 @@ public interface DslGrammarTemplateColumnsSelectionDsl { */ public interface UsageTemplateExample { - /** .[**example**][ColumnsSelectionDsl.first] */ + /** __`.`__[**`example`**][ColumnsSelectionDsl.first] */ public interface ColumnSetName - /** .[**colsExample**][ColumnsSelectionDsl.first] */ + /** __`.`__[**`colsExample`**][ColumnsSelectionDsl.first] */ public interface ColumnGroupName } } diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/TakeAndDropColumnsSelectionDslGrammar.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/TakeAndDropColumnsSelectionDslGrammar.kt index ef433fe97..7b4759115 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/TakeAndDropColumnsSelectionDslGrammar.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/documentation/TakeAndDropColumnsSelectionDslGrammar.kt @@ -19,19 +19,19 @@ import org.jetbrains.kotlinx.dataframe.documentation.DslGrammarTemplateColumnsSe * {@set [DslGrammarTemplate.PlainDslFunctionsArg] * {@include [PlainDslName]}**`(`**{@include [DslGrammarTemplate.NumberRef]}**`)`** * - * `|` {@include [PlainDslWhileName]}**` { `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** + * `| `{@include [PlainDslWhileName]}**` { `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** * } * * {@set [DslGrammarTemplate.ColumnSetFunctionsArg] * {@include [Indent]}{@include [ColumnSetName]}**`(`**{@include [DslGrammarTemplate.NumberRef]}**`)`** * - * {@include [Indent]}`|` {@include [ColumnSetWhileName]}**` { `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** + * {@include [Indent]}`| `{@include [ColumnSetWhileName]}**` { `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** * } * * {@set [DslGrammarTemplate.ColumnGroupFunctionsArg] * {@include [Indent]}{@include [ColumnGroupName]}**`(`**{@include [DslGrammarTemplate.NumberRef]}**`)`** * - * {@include [Indent]}`|` {@include [ColumnGroupWhileName]}**` { `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** + * {@include [Indent]}`| `{@include [ColumnGroupWhileName]}**` { `**{@include [DslGrammarTemplate.ConditionRef]}**` \}`** * } */ @ExcludeFromSources @@ -43,21 +43,21 @@ internal interface TakeAndDropColumnsSelectionDslGrammar { /* Operation, like "take"/"drop" */ interface OperationArg - /** [**{@get [OperationArg]}**][ColumnsSelectionDsl.{@get [OperationArg]}]`(`[**Last**][ColumnsSelectionDsl.{@get [OperationArg]}Last]`)` */ + /** [**\`{@get [OperationArg]}\`**][ColumnsSelectionDsl.{@get [OperationArg]}]`(`[**`Last`**][ColumnsSelectionDsl.{@get [OperationArg]}Last]`)` */ interface PlainDslName - /** .[**{@get [OperationArg]}**][ColumnsSelectionDsl.{@get [OperationArg]}]`(`[**Last**][ColumnSet.{@get [OperationArg]}Last]`)` */ + /** __`.`__[**\`{@get [OperationArg]}\`**][ColumnsSelectionDsl.{@get [OperationArg]}]`(`[**`Last`**][ColumnSet.{@get [OperationArg]}Last]`)` */ interface ColumnSetName - /** .[**{@get [OperationArg]}**][ColumnsSelectionDsl.{@get [OperationArg]}Cols]`(`[**Last**][ColumnsSelectionDsl.{@get [OperationArg]}LastCols]`)`[**Cols**][ColumnsSelectionDsl.{@get [OperationArg]}Cols] */ + /** __`.`__[**\`{@get [OperationArg]}\`**][ColumnsSelectionDsl.{@get [OperationArg]}Cols]`(`[**`Last`**][ColumnsSelectionDsl.{@get [OperationArg]}LastCols]`)`[**`Cols`**][ColumnsSelectionDsl.{@get [OperationArg]}Cols] */ interface ColumnGroupName - /** [**{@get [OperationArg]}**][ColumnsSelectionDsl.{@get [OperationArg]}While]`(`[**Last**][ColumnsSelectionDsl.{@get [OperationArg]}LastWhile]`)`[**While**][ColumnsSelectionDsl.{@get [OperationArg]}While] */ + /** [**\`{@get [OperationArg]}\`**][ColumnsSelectionDsl.{@get [OperationArg]}While]`(`[**`Last`**][ColumnsSelectionDsl.{@get [OperationArg]}LastWhile]`)`[**`While`**][ColumnsSelectionDsl.{@get [OperationArg]}While] */ interface PlainDslWhileName - /** .[**{@get [OperationArg]}**][ColumnsSelectionDsl.{@get [OperationArg]}While]`(`[**Last**][ColumnsSelectionDsl.{@get [OperationArg]}LastWhile]`)`[**While**][ColumnsSelectionDsl.{@get [OperationArg]}While] */ + /** __`.`__[**\`{@get [OperationArg]}\`**][ColumnsSelectionDsl.{@get [OperationArg]}While]`(`[**`Last`**][ColumnsSelectionDsl.{@get [OperationArg]}LastWhile]`)`[**`While`**][ColumnsSelectionDsl.{@get [OperationArg]}While] */ interface ColumnSetWhileName - /** .[**{@get [OperationArg]}**][ColumnsSelectionDsl.{@get [OperationArg]}ColsWhile]`(`[**Last**][ColumnsSelectionDsl.{@get [OperationArg]}LastColsWhile]`)`[**ColsWhile**][ColumnsSelectionDsl.{@get [OperationArg]}ColsWhile] */ + /** __`.`__[**\`{@get [OperationArg]}\`**][ColumnsSelectionDsl.{@get [OperationArg]}ColsWhile]`(`[**`Last`**][ColumnsSelectionDsl.{@get [OperationArg]}LastColsWhile]`)`[**`ColsWhile`**][ColumnsSelectionDsl.{@get [OperationArg]}ColsWhile] */ interface ColumnGroupWhileName } From b40340f147e450c74c3e3088d176b0584da7fd7d Mon Sep 17 00:00:00 2001 From: Jolan Rensen Date: Wed, 3 Apr 2024 12:16:52 +0200 Subject: [PATCH 10/11] minimal kdoc fixes for colsAtAnyDepth.kt --- .../kotlinx/dataframe/api/colsAtAnyDepth.kt | 42 +++++++++---------- .../kotlinx/dataframe/api/colsAtAnyDepth.kt | 6 +-- 2 files changed, 24 insertions(+), 24 deletions(-) diff --git a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsAtAnyDepth.kt b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsAtAnyDepth.kt index 8476d9454..fe88f36dc 100644 --- a/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsAtAnyDepth.kt +++ b/core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsAtAnyDepth.kt @@ -149,11 +149,11 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * * #### Converting from deprecated syntax: * - * [dfs][dfs]` { condition } -> `[colsAtAnyDepth][colsAtAnyDepth]` { condition }` + * `dfs { condition } -> `[colsAtAnyDepth][colsAtAnyDepth]` { condition }` * - * [allDfs][allDfs]`(includeGroups = false) -> `[colsAtAnyDepth][colsAtAnyDepth]` { includeGroups || !it.`[isColumnGroup][DataColumn.isColumnGroup]`() }` + * `allDfs(includeGroups = false) -> `[colsAtAnyDepth][colsAtAnyDepth]` { includeGroups || !it.`[isColumnGroup][DataColumn.isColumnGroup]`() }` * - * [dfsOf][dfsOf]` { condition } -> `[colsAtAnyDepth][colsAtAnyDepth]`().`[colsOf][ColumnsSelectionDsl.colsOf]` { condition } }` + * `dfsOf { condition } -> `[colsAtAnyDepth][colsAtAnyDepth]`().`[colsOf][ColumnsSelectionDsl.colsOf]` { condition }` * * [cols][ColumnsSelectionDsl.cols]` { condition }.`[recursively][recursively]`() -> `[colsAtAnyDepth][colsAtAnyDepth]` { condition }` * @@ -208,11 +208,11 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * * #### Converting from deprecated syntax: * - * [dfs][dfs]` { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { condition }` + * `dfs { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { condition }` * - * [allDfs][allDfs]`(includeGroups = false) -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { includeGroups || !it.`[isColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.isColumnGroup]`() }` + * `allDfs(includeGroups = false) -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { includeGroups || !it.`[isColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.isColumnGroup]`() }` * - * [dfsOf][dfsOf]` { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]`().`[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]` { condition } }` + * `dfsOf { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]`().`[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]` { condition }` * * [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { condition }.`[recursively][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.recursively]`() -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { condition }` * @@ -266,11 +266,11 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * * #### Converting from deprecated syntax: * - * [dfs][dfs]` { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { condition }` + * `dfs { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { condition }` * - * [allDfs][allDfs]`(includeGroups = false) -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { includeGroups || !it.`[isColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.isColumnGroup]`() }` + * `allDfs(includeGroups = false) -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { includeGroups || !it.`[isColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.isColumnGroup]`() }` * - * [dfsOf][dfsOf]` { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]`().`[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]` { condition } }` + * `dfsOf { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]`().`[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]` { condition }` * * [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { condition }.`[recursively][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.recursively]`() -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { condition }` * @@ -322,11 +322,11 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * * #### Converting from deprecated syntax: * - * [dfs][dfs]` { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { condition }` + * `dfs { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { condition }` * - * [allDfs][allDfs]`(includeGroups = false) -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { includeGroups || !it.`[isColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.isColumnGroup]`() }` + * `allDfs(includeGroups = false) -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { includeGroups || !it.`[isColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.isColumnGroup]`() }` * - * [dfsOf][dfsOf]` { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]`().`[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]` { condition } }` + * `dfsOf { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]`().`[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]` { condition }` * * [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { condition }.`[recursively][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.recursively]`() -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { condition }` * @@ -378,11 +378,11 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * * #### Converting from deprecated syntax: * - * [dfs][dfs]` { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { condition }` + * `dfs { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { condition }` * - * [allDfs][allDfs]`(includeGroups = false) -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { includeGroups || !it.`[isColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.isColumnGroup]`() }` + * `allDfs(includeGroups = false) -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { includeGroups || !it.`[isColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.isColumnGroup]`() }` * - * [dfsOf][dfsOf]` { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]`().`[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]` { condition } }` + * `dfsOf { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]`().`[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]` { condition }` * * [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { condition }.`[recursively][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.recursively]`() -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { condition }` * @@ -434,11 +434,11 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * * #### Converting from deprecated syntax: * - * [dfs][dfs]` { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { condition }` + * `dfs { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { condition }` * - * [allDfs][allDfs]`(includeGroups = false) -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { includeGroups || !it.`[isColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.isColumnGroup]`() }` + * `allDfs(includeGroups = false) -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { includeGroups || !it.`[isColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.isColumnGroup]`() }` * - * [dfsOf][dfsOf]` { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]`().`[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]` { condition } }` + * `dfsOf { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]`().`[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]` { condition }` * * [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { condition }.`[recursively][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.recursively]`() -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { condition }` * @@ -490,11 +490,11 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * * #### Converting from deprecated syntax: * - * [dfs][dfs]` { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { condition }` + * `dfs { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { condition }` * - * [allDfs][allDfs]`(includeGroups = false) -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { includeGroups || !it.`[isColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.isColumnGroup]`() }` + * `allDfs(includeGroups = false) -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { includeGroups || !it.`[isColumnGroup][org.jetbrains.kotlinx.dataframe.DataColumn.isColumnGroup]`() }` * - * [dfsOf][dfsOf]` { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]`().`[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]` { condition } }` + * `dfsOf { condition } -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]`().`[colsOf][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.colsOf]` { condition }` * * [cols][org.jetbrains.kotlinx.dataframe.api.ColumnsSelectionDsl.cols]` { condition }.`[recursively][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.recursively]`() -> `[colsAtAnyDepth][org.jetbrains.kotlinx.dataframe.api.ColsAtAnyDepthColumnsSelectionDsl.colsAtAnyDepth]` { condition }` * diff --git a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsAtAnyDepth.kt b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsAtAnyDepth.kt index a89f6c5cd..c80ca0d85 100644 --- a/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsAtAnyDepth.kt +++ b/core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/colsAtAnyDepth.kt @@ -100,11 +100,11 @@ public interface ColsAtAnyDepthColumnsSelectionDsl { * * #### Converting from deprecated syntax: * - * [dfs][dfs]` { condition } -> `[colsAtAnyDepth][colsAtAnyDepth]` { condition }` + * `dfs { condition } -> `[colsAtAnyDepth][colsAtAnyDepth]` { condition }` * - * [allDfs][allDfs]`(includeGroups = false) -> `[colsAtAnyDepth][colsAtAnyDepth]` { includeGroups || !it.`[isColumnGroup][DataColumn.isColumnGroup]`() }` + * `allDfs(includeGroups = false) -> `[colsAtAnyDepth][colsAtAnyDepth]` { includeGroups || !it.`[isColumnGroup][DataColumn.isColumnGroup]`() }` * - * [dfsOf][dfsOf]` { condition } -> `[colsAtAnyDepth][colsAtAnyDepth]`().`[colsOf][ColumnsSelectionDsl.colsOf]` { condition } }` + * `dfsOf { condition } -> `[colsAtAnyDepth][colsAtAnyDepth]`().`[colsOf][ColumnsSelectionDsl.colsOf]` { condition }` * * [cols][ColumnsSelectionDsl.cols]` { condition }.`[recursively][recursively]`() -> `[colsAtAnyDepth][colsAtAnyDepth]` { condition }` * From 01b96e5bac8475201d338a2d3157e3910aff86df Mon Sep 17 00:00:00 2001 From: Jolan Rensen Date: Fri, 12 Apr 2024 16:47:54 +0200 Subject: [PATCH 11/11] bumped docProcessor to 0.3.5 --- gradle/libs.versions.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/gradle/libs.versions.toml b/gradle/libs.versions.toml index 03955e860..336ca661a 100644 --- a/gradle/libs.versions.toml +++ b/gradle/libs.versions.toml @@ -48,7 +48,7 @@ kotestAsserions = "5.5.4" jsoup = "1.17.2" arrow = "15.0.0" -docProcessor = "0.3.3" +docProcessor = "0.3.5" simpleGit = "2.0.3" dependencyVersions = "0.51.0" plugin-publish = "1.2.1"