我正在繪制 aSeaborn heatmap并且我想將y-axis刻度標(biāo)簽居中，但找不到方法來做到這一點。'va'text 屬性似乎在 上不可用yticks()?？紤]下圖我想將一周中的幾天與一排方塊的中心對齊生成此圖的代碼：import pandas as pdimport seaborn as snsimport numpy as npimport matplotlib.pyplot as plt#Generate dummy datastartDate = '2017-11-25'dateList = pd.date_range(startDate, periods=365).tolist()df = pd.DataFrame({'Date': dateList,                'Distance': np.random.normal(loc=15, scale=15, size=(365,))              })#set week and daydf['Week'] = [x.isocalendar()[1] for x in df['Date']]df['Day'] = [x.isocalendar()[2] for x in df['Date']]#create dataset for heatmap#group by axis to plotdf = df.groupby(['Week','Day']).sum().reset_index()#restructure for heatmapdata = df.pivot("Day","Week","Distance")#configure the heatmap plotsns.set()fig, ax = plt.subplots(figsize=(15,6))ax=sns.heatmap(data,xticklabels=1,ax = ax, robust=True, square=True,cmap='RdBu_r',cbar_kws={"shrink":.3, "label": "Distance (KM)"})ax.set_title('Running distance', fontsize=16, fontdict={})#configure the x and y ticksplt.xticks(fontsize="9")plt.yticks(np.arange(7),('Mon','Tue','Wed','Thu','Fri','Sat','Sun'), rotation=0, fontsize="10", va="center")#set labelsize of the colorbarcbar = ax.collections[0].colorbarcbar.ax.tick_params(labelsize=10)plt.show()