我有一个数据框，其中有一列，如下所示
Other via Other on 17 Jan 2019
Other via Other on 17 Jan 2019
Interview via E-mail on 14 Dec 2018
Rejected via E-mail on 15 Jan 2019
Rejected via E-mail on 15 Jan 2019
Rejected via E-mail on 15 Jan 2019
Rejected via E-mail on 15 Jan 2019
Interview via E-mail on 14 Jan 2019
Rejected via Website on 12 Jan 2019
是否可以将此列分成两部分，一个是“via”之前的内容，另一个是“on”之后的内容？谢谢!
最佳答案
使用 str.extract
df[['col1', 'col2']] = df.col.str.extract('(.*)\svia.*on\s(.*)', expand = True)
col1 col2
0 Other 17 Jan 2019
1 Other 17 Jan 2019
2 Interview 14 Dec 2018
3 Rejected 15 Jan 2019
4 Rejected 15 Jan 2019
5 Rejected 15 Jan 2019
6 Rejected 15 Jan 2019
7 Interview 14 Jan 2019
8 Rejected 12 Jan 2019
关于python - 通过正则表达式更改 pandas 列的内容，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/54261746/