drop if nan in column pandas
df = df[df['EPS'].notna()]
dropping nan in pandas dataframe
df.dropna(subset=['name', 'born'])
drop column with nan values
fish_frame = fish_frame.dropna(axis = 1, how = 'all')
drop columns with nan pandas
>>> df.dropna(axis='columns')
name
0 Alfred
1 Batman
2 Catwoman
remove a rows in which three column has nan
df.dropna(subset=['col1', 'col2', 'col3', 'col4', 'col5', 'col6'], how='all', inplace=True)
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