remove nan from list python
cleanedList = [x for x in countries if str(x) != 'nan']remove nan from list python
cleanedList = [x for x in countries if str(x) != 'nan']drop columns with nan pandas
>>> df.dropna(axis='columns')
name
0 Alfred
1 Batman
2 CatwomanCopyright © 2021 Codeinu
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