Answers for "drop all nan values for a column"

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

Code answers related to "drop all nan values for a column"