chartify/_core/radar_chart.py [176:221]:
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        self,
        data_frame,
        radius_column,
        color_column=None,
        color_order=None,
        line_dash="solid",
        line_width=4,
        alpha=1.0,
    ):
        """Perimeter line plot.

        Args:
            data_frame (pandas.DataFrame): Data source for the plot.
            radius_column (str): Column name containing radius values.
            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.
            line_dash (str, optional): Dash style for the line. One of:
                - 'solid'
                - 'dashed'
                - 'dotted'
                - 'dotdash'
                - 'dashdot'
            line_width (int, optional): Width of the line
            alpha (float): Alpha value.
        """
        settings = self._chart.style._get_settings("line_plot")
        line_cap = settings["line_cap"]
        line_join = settings["line_join"]

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

        self._set_numeric_axis_default_format(data_frame, radius_column, radius_column)

        for color_value, color in zip(color_values, colors):
            if color_column is None:  # Single line
                sliced_data = data_frame
            else:
                sliced_data = data_frame[data_frame[color_column] == color_value]

            coord_df = sliced_data[[radius_column]].copy()
            coord_df[self._THETA_COLUMN] = self._get_thetas(len(coord_df))
            coord_df[[self._X_COLUMN, self._Y_COLUMN]] = self._to_xy_coords(
                coord_df, radius_column, self._THETA_COLUMN
            )
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chartify/_core/radar_chart.py [303:348]:
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        self,
        data_frame,
        radius_column,
        color_column=None,
        color_order=None,
        line_dash="solid",
        line_width=4,
        alpha=1.0,
    ):
        """Radius line plot.

        Args:
            data_frame (pandas.DataFrame): Data source for the plot.
            radius_column (str): Column name containing radius values.
            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.
            line_dash (str, optional): Dash style for the line. One of:
                - 'solid'
                - 'dashed'
                - 'dotted'
                - 'dotdash'
                - 'dashdot'
            line_width (int, optional): Width of the line
            alpha (float): Alpha value.
        """
        settings = self._chart.style._get_settings("line_plot")
        line_cap = settings["line_cap"]
        line_join = settings["line_join"]

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

        self._set_numeric_axis_default_format(data_frame, radius_column, radius_column)

        for color_value, color in zip(color_values, colors):
            if color_column is None:  # Single line
                sliced_data = data_frame
            else:
                sliced_data = data_frame[data_frame[color_column] == color_value]

            coord_df = sliced_data[[radius_column]].copy()
            coord_df[self._THETA_COLUMN] = self._get_thetas(len(coord_df))
            coord_df[[self._X_COLUMN, self._Y_COLUMN]] = self._to_xy_coords(
                coord_df, radius_column, self._THETA_COLUMN
            )
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