def add_heat_fig(self,df,fig_explain_str,fig_size):
    """添加热力图"""
    df1 = df * 100
    df1["设备"] = df1.index + ' ' + df1["date_mean"].apply(lambda x:str('%.2f' % x)) + '%'
    df1.set_index(['设备'], inplace=True)
    df1.columns = df1.columns + '\n ' + df1.iloc[-1, :].round(2).map(str) + '%'
    df_fig = df1.iloc[:-1, :-1]

    w = 6
    dfw = df_fig.shape[0]
    if dfw>22:
        w += (dfw-22)*0.16 #在doc中，定一个设备格子宽度为0.25cm=0.16英尺
    if w>23.8:
        w = 23.8
    #math.ceil( x ) 向上取整
    f, ax = plt.subplots(figsize=(9, w))

    sns_plot = sns.heatmap(df_fig, ax=ax, vmin=0, vmax=100, cmap='Greens', annot=False, linewidths=2, cbar=True,
                cbar_kws={"orientation": "horizontal"},yticklabels=1)
    # 设置坐标字体方向，通过rotation参数可以调节旋转角度
    label_y = ax.get_yticklabels()
    plt.setp(label_y, rotation=360, horizontalalignment='right')
    label_x = ax.get_xticklabels()
    plt.setp(label_x, rotation=60, horizontalalignment='right')

    sns_plot.tick_params(labelsize='medium')  # heatmap 刻度字体大小 10
    # colorbar 刻度线设置
    cax = plt.gcf().axes[-1]
    cax.tick_params(labelsize=10)  # colorbar 刻度字体大小
    # plt.show()
    self.insert_fig(fig_explain_str,fig_size)