将Pandas DataFrame列拆分为两列

Question

我正在研究一个简单的Web Scrape，DataFrame项目。我有一个简单的8x1 DataFrame，我试图将它分成8x2的DataFrame。到目前为止，这是我的数据框的样子：

dframe = DataFrame(data, columns=['Active NPGL Teams'], index=[1, 2, 3, 4, 5, 6, 7, 8]) 

Active NPGL Teams 
1 Baltimore Anthem (2015–present) 
2 Boston Iron (2014–present) 
3 DC Brawlers (2014–present) 
4 Los Angeles Reign (2014–present) 
5 Miami Surge (2014–present) 
6 New York Rhinos (2014–present) 
7 Phoenix Rise (2014–present) 
8 San Francisco Fire (2014–present) 

我想增加一列，“年活动”和分裂“（2014年本）”，“（2015年至今）”进入“活跃年份”栏。我如何分割我的数据？

Answer 1

您可以使用

dframe['Active NPGL Teams'].str.split(r' (?=\()', expand=True) 

    0    1 
1 Baltimore Anthem (2015–present) 
2   Boston Iron (2014–present) 
3   DC Brawlers (2014–present) 
4 Los Angeles Reign (2014–present) 
5   Miami Surge (2014–present) 
6  New York Rhinos (2014–present) 
7  Phoenix Rise (2014–present) 
8 San Francisco Fire (2014–present) 

的关键是正则表达式r' (?=\()'相匹配，只有当它后面跟着一个开括号（前向断言）的空间。

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另一种方法（大约5％，但更灵活）是用户Series.str.extract。

dframe['Active NPGL Teams'].str.extract(r'^(?P<Team>.+) (?P<YearsActive>\(.+\))$', 
             expand=True) 

    Team  YearsActive 
1 Baltimore Anthem (2015–present) 
2   Boston Iron (2014–present) 
3   DC Brawlers (2014–present) 
4 Los Angeles Reign (2014–present) 
5   Miami Surge (2014–present) 
6  New York Rhinos (2014–present) 
7  Phoenix Rise (2014–present) 
8 San Francisco Fire (2014–present)