[英]How to convert Index column with name 'Date' to weekday name in dataframe. The index format is dtype: int64
如何将名称为数据的索引列转换为 dataframe 中的工作日名称
尝试：
daynumber = [0,1,2,3,4,5,6]
weekday = ['Monday','Tuesday','Wednesday','Thursday','Friday','Saturday','Sunday']
df = df.rename(index=dict(zip(daynumber,weekday)))
df
output：
Date ...
Monday ...
Tuesday ...
Wednesday ...
Thursday ...
Friday ...
[Int64Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype='int64', name='index')] 中没有一个在 [index]
[英]None of [Int64Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype='int64', name='index')] are in the [index]
将列表中的多个 Int64Index([], dtype='int64') 转换为列表
[英]Convert multiple Int64Index([], dtype='int64') in a list to a list
根据Python中列表的索引填充int64 DataFrame列
[英]Populate an int64 DataFrame column based on index of a list in Python
将Int64Index更改为Index，将dtype = int64更改为dtype = object
[英]Change Int64Index to Index and dtype=int64 to dtype=object
如何在 matplotlib xticks 中将 int64 类型的索引列转换为小时
[英]How to convert index column of int64 type to hour in matplotlib xticks
KeyError: "[Int64Index([ 12313,\\n, 34534],\\n dtype='int64', leng
[英]KeyError: "None of [Int64Index([ 12313,\n , 34534],\n dtype='int64', leng
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