From fab6460e8791fd950b5b5c510e22eeb95146a55a Mon Sep 17 00:00:00 2001 From: sfc-gh-fgonzalezmendez Date: Tue, 2 Apr 2024 08:04:59 -0600 Subject: [PATCH] Update JavaDoc --- .../java/com/snowflake/snowpark_java/Functions.java | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/src/main/java/com/snowflake/snowpark_java/Functions.java b/src/main/java/com/snowflake/snowpark_java/Functions.java index 489ac6b1..416d8c1b 100644 --- a/src/main/java/com/snowflake/snowpark_java/Functions.java +++ b/src/main/java/com/snowflake/snowpark_java/Functions.java @@ -270,8 +270,8 @@ public static Column kurtosis(Column col) { *

Example: * *

{@code
-   * var df = session.createDataFrame(
-   *         new Row[] { Row.create(1), Row.create(3), Row.create(10), Row.create(1), Row.create(3) },
+   * DataFrame df = session.createDataFrame(
+   *         new Row[] {Row.create(1), Row.create(3), Row.create(10), Row.create(1), Row.create(3)},
    *         StructType.create(new StructField("x", DataTypes.IntegerType))
    * );
    * df.select(max("x")).show();
@@ -310,8 +310,8 @@ public static Column max(Column col) {
    * 

Example: * *

{@code
-   * var df = session.createDataFrame(
-   *         new Row[] { Row.create(1), Row.create(3), Row.create(10), Row.create(1), Row.create(3) },
+   * DataFrame df = session.createDataFrame(
+   *         new Row[] {Row.create(1), Row.create(3), Row.create(10), Row.create(1), Row.create(3)},
    *         StructType.create(new StructField("x", DataTypes.IntegerType))
    * );
    * df.select(min("x")).show();
@@ -350,8 +350,8 @@ public static Column min(Column col) {
    * 

Example: * *

{@code
-   * var df = session.createDataFrame(
-   *         new Row[] { Row.create(1), Row.create(3), Row.create(10), Row.create(1), Row.create(3) },
+   * DataFrame df = session.createDataFrame(
+   *         new Row[] {Row.create(1), Row.create(3), Row.create(10), Row.create(1), Row.create(3)},
    *         StructType.create(new StructField("x", DataTypes.IntegerType))
    * );
    * df.select(mean("x")).show();