下面的代碼創(chuàng)建一個(gè)分類圖，其頂部有一個(gè)點(diǎn)圖，其中點(diǎn)圖顯示每個(gè)類別的平均值和 95% 置信區(qū)間。我需要將平均數(shù)據(jù)標(biāo)簽添加到圖中，但我不知道該怎么做。僅供參考，每個(gè)類別都有數(shù)千個(gè)點(diǎn)，因此我不想標(biāo)記每個(gè)數(shù)據(jù)點(diǎn)，而只想標(biāo)記estimator=np.mean點(diǎn)圖中的值。這可能嗎？？我在此處創(chuàng)建了一個(gè)示例數(shù)據(jù)集，以便您可以復(fù)制并粘貼代碼并自行運(yùn)行。import pandas as pdimport seaborn as snsimport matplotlib.pyplot as pltimport matplotlib.ticker as mtickimport numpy as npd = {'SurfaceVersion': ['v1', 'v1', 'v1', 'v2', 'v2', 'v2', 'v3', 'v3', 'v3'],        'Error%': [.01, .03, .15, .28, .39, .01, .01, .06, .09]}df_comb =  pd.DataFrame(data=d)plotHeight = 10plotAspect = 2 #create catplot with jitter per surface version:ax = sns.catplot(data=df_comb, x='SurfaceVersion', y='Error%', jitter=True, legend=False, zorder=1, height=plotHeight, aspect=plotAspect)ax = sns.pointplot(data=df_comb, x='SurfaceVersion', y='Error%', estimator=np.mean, ci=95, capsize=.1, errwidth=1, hue='SurfaceVersion', color='k',zorder=2, height=plotHeight, aspect=plotAspect, join=False)ax.yaxis.set_major_formatter(mtick.PercentFormatter(xmax=1.0))plt.gca().legend().set_title('')plt.grid(color='grey', which='major', axis='y', linestyle='--')plt.xlabel('Surface Version')plt.ylabel('Error %')plt.subplots_adjust(top=0.95, left=.05)plt.suptitle('Error%')plt.legend([],[], frameon=False)                #This is to get rid of the legend that pops up with the seaborn plot b/c it's buggy.plt.axhline(y=0, color='r', linestyle='--')plt.show()