drop if nan in column pandas
df = df[df['EPS'].notna()]
drop null rows pandas
df.dropna()
dropping nan in pandas dataframe
df.dropna(subset=['name', 'born'])
.dropna() python
>>> df.dropna(how='all')
dropna pandas
>>> df.dropna(axis='columns')
name
0 Alfred
1 Batman
2 Catwoman
dropna pandas
>>> df.dropna(inplace=True)
>>> df
name toy born
1 Batman Batmobile 1940-04-25
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