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']
remove rows or columns with NaN value
df.dropna() #drop all rows that have any NaN values
df.dropna(how='all')
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