dropna for specific column pandas
df = df[df['EPS'].notna()] #instead of dropping, take another DF with non-na values
dropna for specific column pandas
df = df[df['EPS'].notna()] #instead of dropping, take another DF with non-na values
drop na in pandas
>>> df.dropna(subset=['name', 'born'])
name toy born
1 Batman Batmobile 1940-04-25
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