Pandas：更改数据帧日期索引格式
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Pandas: changing dataframe date index format
提问by Maxi
Would like to change the Date index of the dataframe from the default style into '%m/%d/%Y' format.
想将数据框的日期索引从默认样式更改为“%m/%d/%Y”格式。
In: df
Out:
Date Close
2006-01-24 48.812471
2006-01-25 47.448712
2006-01-26 53.341202
2006-01-27 58.728122
2006-01-30 59.481986
2006-01-31 55.691974
df.index
索引
Out:
DatetimeIndex(['2006-01-04', '2006-01-05', '2006-01-06', '2006-01-09',
'2006-01-10', '2006-01-11', '2006-01-12', '2006-01-13',
'2006-01-17', '2006-01-18',
...
'2018-02-21', '2018-02-22', '2018-02-23', '2018-02-26',
'2018-02-27', '2018-02-28', '2018-03-01', '2018-03-02',
'2018-03-05', '2018-03-06'],
dtype='datetime64[ns]', name=u'Date', length=3063, freq=None)
Into:
进入：
In: df1
Out:
Date Close
01/24/2006 48.812471
01/25/2006 47.448712
01/26/2006 53.341202
01/27/2006 58.728122
01/28/2006 59.481986
01/29/2006 55.691974
I tried this method before...
我之前试过这个方法...
df1.index = pd.to_datetime(df.index, format = '%m/%d/%Y')
df1.index = df.dt.strftime('%Y-%m-%d')
AttributeError: 'DataFrame' object has no attribute 'dt'
回答by jezrael
Use DatetimeIndex.strftime- instead dtneed index:
使用DatetimeIndex.strftime- 而不是dt需要index：
df1.index = pd.to_datetime(df1.index, format = '%m/%d/%Y').strftime('%Y-%m-%d')
What is same:
什么是相同的：
df1.index = pd.to_datetime(df1.index, format = '%m/%d/%Y')
df1.index = df1.index.strftime('%Y-%m-%d')
EDIT if need convert DatetimeIndexto another string format:
如果需要转换DatetimeIndex为另一种字符串格式，请编辑：
print (df1.index)
DatetimeIndex(['2006-01-24', '2006-01-25', '2006-01-26', '2006-01-27',
'2006-01-30', '2006-01-31'],
dtype='datetime64[ns]', name='Date', freq=None)
df1.index = df1.index.strftime('%m/%d/%Y')
print (df1)
Close
01/24/2006 48.812471
01/25/2006 47.448712
01/26/2006 53.341202
01/27/2006 58.728122
01/30/2006 59.481986
01/31/2006 55.691974
