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

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