drop if nan in column pandas
df = df[df['EPS'].notna()]remove rows or columns with NaN value
df.dropna() #drop all rows that have any NaN values
df.dropna(how='all')python remove nan rows
df = df[df['my_var'].notna()]remove a rows in which three column has nan
df.dropna(subset=['col1', 'col2', 'col3', 'col4', 'col5', 'col6'], how='all', inplace=True)Copyright © 2021 Codeinu
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