Answers for "pandas drop if all nan"

drop if nan in column pandas

df = df[df['EPS'].notna()]

Posted by: Guest on March-17-2020

when converting from dataframe to list delete nan values

a = [[y for y in x if pd.notna(y)] for x in df.values.tolist()]
print (a)
[['str', 'aad', 'asd'], ['ddd'], ['xyz', 'abc'], ['btc', 'trz', 'abd']]

Posted by: Guest on January-12-2021

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