drop if nan in column pandas
df = df[df['EPS'].notna()]
drop null rows pandas
df.dropna()
pandas remove rows with null in column
df = df[df['EPS'].notna()]
drop columns with nan pandas
>>> df.dropna(axis='columns')
name
0 Alfred
1 Batman
2 Catwoman
dropna threshold
#dropping columns having more than 50% missing values(1994/2==1000)
df=df.dropna(thresh=1000,axis=1)
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