Method area

chartify/_core/plot.py:530–653

Area plot. Note: - When a single y_column is passed: Shade area between the y_values and zero. - Use `stacked` argument for stacked areas. - When both y_column and second_y_column are passed: Shade area between the two y_co

(
        self,
        data_frame,
        x_column,
        y_column,
        second_y_column=None,
        color_column=None,
        color_order=None,
        stacked=False,
    )

        return self._chart

    def area(
        self,
        data_frame,
        x_column,
        y_column,
        second_y_column=None,
        color_column=None,
        color_order=None,
        stacked=False,
    ):
        """Area plot.

        Note:
            - When a single y_column is passed: Shade area between the
                y_values and zero.
            - Use `stacked` argument for stacked areas.
            - When both y_column and second_y_column are passed:
                Shade area between the two y_columns.

        Args:
            data_frame (pandas.DataFrame): Data source for the plot.
            x_column (str): Column name to plot on the x axis.
            y_column (str): Column name to plot on the y axis.
            second_y_column (str, optional): Column name to plot on
                the y axis.
            color_column (str, optional): Column name to group by on
                the color dimension.
            color_order (list, optional): List of values within the
                'color_column' for specific sorting of the colors.
            stacked (bool, optional): Stacked the areas.
                Only applicable with a single y_column.
                Default: False.
        """
        # Vertical option only applies to density plots
        vertical = self._chart.axes._vertical

        alpha = 0.2
        colors, color_values = self._get_color_and_order(data_frame, color_column, color_order)

        self._set_numeric_axis_default_format(data_frame, x_column, y_column)

        if color_column is not None:
            data_frame = (
                data_frame.set_index([x_column, color_column])
                .reindex(
                    index=pd.MultiIndex.from_product(
                        [
                            data_frame[x_column].unique(),
                            data_frame[color_column].unique(),
                        ],
                        names=[x_column, color_column],
                    )
                )
                .reset_index(drop=False)
                .fillna(0)
            )

        if second_y_column is None and color_column is not None: