python 绘图 异常点绘制使用 ax.plot(abnormal_points['ds'], abnormal_points['y'], "rX", label='abnormal points')

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from matplotlib import pyplot as plt     def my_plot(title,     m, fcst, ax=None, uncertainty=True, plot_cap=True, xlabel='ds', ylabel='y', abnormal_points=None ):     """Plot the Prophet forecast.       Parameters     ----------     m: Prophet model.     fcst: pd.DataFrame output of m.predict.     ax: Optional matplotlib axes on which to plot.     uncertainty: Optional boolean to plot uncertainty intervals.     plot_cap: Optional boolean indicating if the capacity should be shown         in the figure, if available.     xlabel: Optional label name on X-axis     ylabel: Optional label name on Y-axis       Returns     -------     A matplotlib figure.     """     if ax is None:         fig = plt.figure(facecolor='w', figsize=(10, 6))         ax = fig.add_subplot(111)     else:         fig = ax.get_figure()       fcst_t = fcst['ds'].dt.to_pydatetime()     ax.plot(m.history['ds'].dt.to_pydatetime(), m.history['y'], 'k.', label='y')     ax.legend()     ax.plot(fcst_t, fcst['yhat'], ls='-', c='#0072B2', label='predicted y')     ax.legend()     ax.fill_between(fcst_t, 0, fcst['yhat_upper'],                     color='#0072B2', alpha=0.2, label='predicted upper y')     # ax.plot(fcst_t, fcst['yhat_upper'], ls='--', color='#0072B2',  alpha=0.2, label='predicted upper y')     ax.legend()       if abnormal_points is not None:         ax.plot(abnormal_points['ds'], abnormal_points['y'],  "rX", label='abnormal points')         ax.legend()       ax.set_title(title)     ax.grid(True, which='major', c='gray', ls='-', lw=1, alpha=0.2)     ax.set_xlabel(xlabel)     ax.set_ylabel(ylabel)     fig.tight_layout()     plt.savefig("png/{}.png".format(title))     return fig