는 방법을 확인하는 경우에 날짜로 판다 열리는 날짜

0

질문

나는 판 데이터 프레임

      date       
0     2010-03  
1     2017-09-14     
2     2020-10-26      
3     2004-12     
4     2012-04-01      
5     2017-02-01      
6     2013-01

저는 기본적으로 필터링하려는 날짜는 후 2015-12(월 2015)

이:

      date       
0     2017-09-14     
1     2020-10-26          
2     2017-02-01  

df = df[(df['date']> "2015-12")]

그러나 나는 오류

ValueError:잘못된 항목의 수를 전달 17,배치를 의미 1

dataframe pandas python-3.x
2021-11-24 06:19:25
1

최고의 응답

1

나를 위해 처음으로 작업 솔루션정:

df = df[(df['date']> "2015-12")]
print (df)
         date
1  2017-09-14
2  2020-10-26
5  2017-02-01

을 경우 변환해 datetimes 해야하는 더 강력한 저에게 너무:

df = df[(pd.to_datetime(df['date'])> "2015-12")]
print (df)
         date
1  2017-09-14
2  2020-10-26
5  2017-02-01

세부사항:

print (pd.to_datetime(df['date']))
0   2010-03-01
1   2017-09-14
2   2020-10-26
3   2004-12-01
4   2012-04-01
5   2017-02-01
6   2013-01-01
Name: date, dtype: datetime64[ns]
2021-11-24 06:20:45

다른 언어로

이 페이지는 다른 언어로되어 있습니다

Русский
..................................................................................................................
Italiano
..................................................................................................................
Polski
..................................................................................................................
Română
..................................................................................................................
हिन्दी
..................................................................................................................
Français
..................................................................................................................
Türk
..................................................................................................................
Česk
..................................................................................................................
Português
..................................................................................................................
ไทย
..................................................................................................................
中文
..................................................................................................................
Español
..................................................................................................................
Slovenský
..................................................................................................................