Question

我的pandas DataFrame包含Day of Week列。

df_weekday = df.groupby(['Day of Week']).sum()
df_weekday[['Spent', 'Clicks', 'Impressions']].plot(figsize=(16,6), subplots=True);

绘制DataFrame显示＆＃39;星期几＆＃39;按字母顺序排列：'Friday', 'Monday', 'Saturday', 'Sunday' , 'Tuesday' , 'Thursday', 'Wednesday'。

如何在正确的工作日订单'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday'中排序和显示df_weekday。？

Answer 1

您可以先使用ordered catagorical：

cats = [ 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']

df['Day of Week'] = df['Day of Week'].astype('category', categories=cats, ordered=True)

在pandas 0.21.0+中使用：

from pandas.api.types import CategoricalDtype
cat_type = CategoricalDtype(categories=cats, ordered=True)
df['Day of Week'] = df['Day of Week'].astype(cat_type)

或reindex：

df_weekday = df.groupby(['Day of Week']).sum().reindex(cats)

pandas数据帧组并按工作日排序

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