remove rows or columns with NaN value
df.dropna() #drop all rows that have any NaN values
df.dropna(how='all')
remove rows or columns with NaN value
df.dropna() #drop all rows that have any NaN values
df.dropna(how='all')
drop column with nan values
fish_frame = fish_frame.dropna(axis = 1, how = 'all')
python remove nan rows
df = df[df['my_var'].notna()]
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