How to use 'pie chart in python seaborn' in Python

281
def generate_bar_chart(chart_data, bottoms=None, bar_width=0.4, labels=[], orientation='vertical'):
282
    """
283
    Creates a bar chart for revenue using chart_data.
284
    """
285
    fig, ax = plt.subplots(figsize=(12, 6))
286
287
    # Get the revenue data from the ValOp objects.
288
    indices = np.arange(len(chart_data))
289
290
    # Plot.
291
    with sb.axes_style('whitegrid'):
292
        if bottoms is None:
293
            if orientation == 'horizontal':
294
                ax.barh(indices, chart_data, height=bar_width, color=PALETTE)
295
                plt.yticks(indices, labels, rotation=0)
296
                ax.set_xticklabels(['{:,}'.format(int(x)) for x in ax.get_xticks().tolist()])  # Comma separator for y-axis tick labels.
297
            else:
298
                ax.bar(indices, chart_data, width=bar_width, color=PALETTE)
299
                plt.xticks(indices, labels, rotation=0)
300
                ax.set_yticklabels(['{:,}'.format(int(x)) for x in ax.get_yticks().tolist()])  # Comma separator for y-axis tick labels.
301
        else:
302
            if orientation == 'horizontal':
303
                ax.barh(indices, chart_data, left=bottoms, height=bar_width, color=PALETTE)
304
                plt.yticks(indices, labels, rotation=0)
305
                ax.set_xticklabels(['{:,}'.format(int(x)) for x in ax.get_xticks().tolist()])  # Comma separator for y-axis tick labels.
306
                # ax.set_xlim(0, max(chart_data))
307
            else:
308
                ax.bar(indices, chart_data, bottom=bottoms, width=bar_width, color=PALETTE)
309
                plt.xticks(indices, labels, rotation=0)
310
                ax.set_yticklabels(['{:,}'.format(int(x)) for x in ax.get_yticks().tolist()])  # Comma separator for y-axis tick labels.
311
                # ax.set_ylim(0, max(chart_data))
312
            
313
        # sb.despine(offset=10, trim=True)
314
315
    return fig, ax

255
def pie(self, values_column, labels_column, title=''):
256
    subplot = self._get_new_subplot()
257
    subplot.pie(self.data[values_column], labels=self.data[labels_column],
258
                autopct='%2.2f%%')
259
    subplot.set_title(title)