refactor: refactor _break_chart_by_missing_data func

ckanext/charts/chart_builders/plotly.py

@@ -35,9 +35,9 @@ def build_bar_chart(self) -> Any:
             self.df = self.df[self.df[self.settings["y"]].notna()]
 
         fig = px.bar(
-            data_frame = self.df,
-            x = self.settings["x"],
-            y = self.settings["y"],
+            data_frame=self.df,
+            x=self.settings["x"],
+            y=self.settings["y"],
         )
 
         fig.update_xaxes(
@@ -56,9 +56,9 @@ def build_horizontal_bar_chart(self) -> Any:
             self.df = self.df[self.df[self.settings["y"]].notna()]
 
         fig = px.bar(
-            data_frame = self.df,
-            y = self.settings["x"],
-            x = self.settings["y"],
+            data_frame=self.df,
+            y=self.settings["x"],
+            x=self.settings["y"],
             orientation="h",
         )
 
@@ -78,7 +78,6 @@ class PlotlyLineBuilder(PlotlyBuilder):
     def to_json(self) -> Any:
         return self.build_line_chart()
 
-
     def _split_data_by_year(self) -> dict[str, Any]:
         """
         Prepare data for a line chart. It splits the data by year stated
@@ -104,7 +103,6 @@ def _split_data_by_year(self) -> dict[str, Any]:
 
         return self
 
-
     def _skip_null_values(self, column: str) -> tuple[Any]:
         """
         Return values for x-axis and y-axis after removing missing values.
@@ -126,35 +124,28 @@ def _skip_null_values(self, column: str) -> tuple[Any]:
 
         return x, y
 
-
     def _break_chart_by_missing_data(self, df: DataFrame, column: str) -> tuple[Any]:
         """
         Find gaps in date column and fill them with missing dates.
         """
-        if len(self.settings["years"]) > 1:
-            df["xaxis"] = df[self.settings["x"]]
+        if len(self.settings["years"]) <= 1:
+            return df[self.settings["x"]], df[column]
 
-            if self.settings.get("split_data"):
-                df[self.settings["x"]] = df.index
+        df["xaxis"] = df[self.settings["x"]]
 
-            df["date"] = pd.to_datetime(df[self.settings["x"]]).dt.date
+        if self.settings.get("split_data"):
+            df[self.settings["x"]] = df.index
 
-            all_dates = pd.date_range(
-                start=df["date"].min(),
-                end=df["date"].max(),
-                unit="ns",
-            ).date
-            date_range_df = pd.DataFrame({"date": all_dates})
-            df = pd.merge(date_range_df, df, on="date", how="left")
+        df["date"] = pd.to_datetime(df[self.settings["x"]]).dt.date
 
-            x = df["xaxis"]
-            y = df[column]
-        else:
-            x = df[self.settings["x"]]
-            y = df[column]
+        all_dates = pd.date_range(
+            start=df["date"].min(), end=df["date"].max(), unit="ns"
+        ).date
 
-        return x, y
+        date_range_df = pd.DataFrame({"date": all_dates})
+        df = pd.merge(date_range_df, df, on="date", how="left")
 
+        return df["xaxis"], df[column]
 
     def build_line_chart(self) -> Any:
         """
@@ -239,7 +230,6 @@ class PlotlyScatterBuilder(PlotlyBuilder):
     def to_json(self) -> Any:
         return self.build_scatter_chart()
 
-
     def build_scatter_chart(self) -> Any:
         self.df = self.df.fillna(0)
 
@@ -248,16 +238,16 @@ def build_scatter_chart(self) -> Any:
 
         if self.df[self.settings["size"]].dtype not in ["int64", "float64"]:
             raise exception.ChartBuildError(
-                """The 'size' source should be a field of positive integer 
+                """The 'size' source should be a field of positive integer
                 or float type."""
             )
 
         fig = px.scatter(
-            data_frame = self.df,
-            x = self.settings["x"],
-            y = self.settings["y"],
-            size = self.settings["size"],
-            size_max = self.settings["size_max"],
+            data_frame=self.df,
+            x=self.settings["x"],
+            y=self.settings["y"],
+            size=self.settings["size"],
+            size_max=self.settings["size_max"],
         )
 
         fig.update_xaxes(
@@ -347,9 +337,7 @@ def plotly_y_multi_axis_field(
         """Plotly line chart supports multi columns for y-axis"""
         field = self.y_multi_axis_field(columns, max_y)
 
-        field["help_text"] = (
-            "Select the columns for the Y axis."
-        )
+        field["help_text"] = "Select the columns for the Y axis."
 
         return field