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']
dropping nan in pandas dataframe
df.dropna(subset=['name', 'born'])
drop column with nan values
fish_frame = fish_frame.dropna(axis = 1, how = 'all')
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