小编1En*_*eft的帖子

我有一个Pandas DataFrame,如下所示

        ReviewID       ID      Type               TimeReviewed
205     76032930  51936827  ReportID 2015-01-15 00:05:27.513000
232     76032930  51936854  ReportID 2015-01-15 00:06:46.703000
233     76032930  51936855  ReportID 2015-01-15 00:06:56.707000
413     76032930  51937035  ReportID 2015-01-15 00:14:24.957000
565     76032930  51937188  ReportID 2015-01-15 00:23:07.220000

>>> type(df)
<class 'pandas.core.frame.DataFrame'>

TimeReviewed是一个系列类型

>>> type(df.TimeReviewed)
<class 'pandas.core.series.Series'>

我在下面试过,但它仍然没有改变系列类型

import pandas as pd
review = pd.to_datetime(pd.Series(df.TimeReviewed))
>>> type(review)
<class 'pandas.core.series.Series'>

如何将df.TimeReviewed更改为DateTime类型并分别提取年,月,日,小时,分钟？我是python的新手,谢谢你的帮助.

我在python中有这个Pandas Dataframe,我想知道两行之间的时差,下一行减去前一行,我该如何处理？

已审核[x] - 已审核[x-1] x是该行的位置数

   ReporterID        ID      Type                   Reviewed
0     27545252  51884791  ReportID 2015-01-14 00:00:42.640000
1     29044639  51884792  ReportID 2015-01-14 00:00:02.767000
2     29044639  51884793  ReportID 2015-01-14 00:00:28.173000
3     29044639  51884794  ReportID 2015-01-14 00:00:46.300000
4     27545252  51884796  ReportID 2015-01-14 00:01:54.293000
5     29044639  51884797  ReportID 2015-01-14 00:01:17.400000
6     29044639  51884798  ReportID 2015-01-14 00:01:57.600000