drop if nan in column pandas
df = df[df['EPS'].notna()]remove all rows where one ccolumns egale to nan
#remove in dataframe but no in the file
df = df[df['column'].notna()]
#remove in dataframe and in the file
df.dropna(subset=['EPS'], how='all', inplace=True)python remove nan rows
df = df[df['my_var'].notna()]Copyright © 2021 Codeinu
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