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')dropna threshold
#dropping columns having more than 50% missing values(1994/2==1000)
df=df.dropna(thresh=1000,axis=1)Copyright © 2021 Codeinu
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