Python 熊猫，将 unicodes 列转换为字符串列表列
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Pandas, convert column of unicodes to column of list of strings
提问by foebu
One of my pandas dataframe columns has unicodes of this kind u'asd,abc,tre,der34,whatever'. The final results should be a column of lists of strings: ['asd','abc','tre','der34','whatever']. A list of unicodes might do, too: [u'asd',u'abc',u'tre',u'der34',u'whatever'].
我的 Pandas 数据框列之一有这种 unicodes u'asd,abc,tre,der34,whatever'。最终结果应该是一列字符串列表：['asd','abc','tre','der34','whatever']. Unicode 列表也可以：[u'asd',u'abc',u'tre',u'der34',u'whatever'].
By the way, tt can happen that in the column of unicodes there is a nan or a u''.
顺便说一句，在 unicodes 列中可能会出现 nan 或 u''。
Any suggestion? I know I can do str(df['column'].iloc[0]).split(',')and manually add a new column or do something trickier, but I was looking for something more pythonic.
有什么建议吗？我知道我可以str(df['column'].iloc[0]).split(',')手动添加一个新列或做一些更棘手的事情，但我一直在寻找更 Pythonic 的东西。
回答by foebu
This solution seems to work:
这个解决方案似乎有效：
df['Column'] =df['Column'].astype(str).str.split(',')
回答by rick debbout
This should work, if there were nan or empty string you'd have to handle that however you see fit.
这应该有效，如果有 nan 或空字符串，您必须根据需要处理它。
In [1]: [str(col) for col in u'asd,abc,tre,der34,whatever'.split(',')]
Out[1]: ['asd', 'abc', 'tre', 'der34', 'whatever']
