dropna for specific column pandas
df = df[df['EPS'].notna()] #instead of dropping, take another DF with non-na valuesdropna for specific column pandas
df = df[df['EPS'].notna()] #instead of dropping, take another DF with non-na valuesdropping nan in pandas dataframe
df.dropna(subset=['name', 'born'])drop columns with nan pandas
>>> df.dropna(axis='columns')
name
0 Alfred
1 Batman
2 Catwomandropna pandas
>>> df.dropna(inplace=True)
>>> df
name toy born
1 Batman Batmobile 1940-04-25dropna pandas
>>> df.dropna(subset=['name', 'toy'])
name toy born
1 Batman Batmobile 1940-04-25
2 Catwoman Bullwhip NaTCopyright © 2021 Codeinu
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