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')drop columns with nan pandas
>>> df.dropna(axis='columns')
name
0 Alfred
1 Batman
2 Catwomanclean nas from column pandas
>>> df.dropna()
name toy born
1 Batman Batmobile 1940-04-25Copyright © 2021 Codeinu
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