pandas 熊猫将列转换为日期时间
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时间：2020-09-14 03:30:01 来源:igfitidea点击:
Pandas convert column to datetime
提问by warrenfitzhenry
I have this df:
我有这个 df：
A
0 2017-04-17 00:00:00
1 2017-04-18 00:00:00
2 2017-04-19 00:00:00
3 2017-04-20 00:00:00
4 2017-04-21 00:00:00
I am trying to get rid of the H, M, S, so that I am left with:
我试图摆脱 H、M、S，这样我就剩下：
A
0 2017-04-17
1 2017-04-18
2 2017-04-19
3 2017-04-20
4 2017-04-21
the dtype of column A is object. I have tried:
A列的数据类型是对象。我试过了：
df['A'] = df['A']datetime.strftime('%Y-%m-%d')
with:
和：
import datetime as datetime
I get:
我得到：
AttributeError: 'Series' object has no attribute 'strftime'
采纳答案by jezrael
I think you need dt.strftime- output are strings:
我认为你需要dt.strftime- 输出是strings：
#if necessary
#df['A'] = pd.to_datetime(df['A'])
print (type(df.loc[0, 'A']))
<class 'pandas.tslib.Timestamp'>
df['A'] = df['A'].dt.strftime('%Y-%m-%d')
print (df)
A
0 2017-04-17
1 2017-04-18
2 2017-04-19
3 2017-04-20
4 2017-04-21
print (type(df.loc[0, 'A']))
<class 'str'>
and for dates use date:
和日期使用date：
df['A'] = df['A'].dt.date
print (df)
A
0 2017-04-17
1 2017-04-18
2 2017-04-19
3 2017-04-20
4 2017-04-21
print (type(df.loc[0, 'A']))
<class 'datetime.date'>
