pandas ，将unicode的列转换为字符串列表的列 [英] Pandas, convert column of unicodes to column of list of strings

问题描述

我的pandas数据框列之一具有这种u'asd,abc,tre,der34,whatever'的Unicode.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'].

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'].

顺便说一句，tt可能会在unicodes列中出现nan或u''.

By the way, tt can happen that in the column of unicodes there is a nan or a u''.

有什么建议吗?我知道我可以做str(df['column'].iloc[0]).split(',')并手动添加新列或做一些更棘手的事情，但是我一直在寻找一些更Python的东西.

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.

推荐答案

此解决方案似乎有效:

df['Column'] =df['Column'].astype(str).str.split(',')

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