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)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)drop column with nan values
fish_frame = fish_frame.dropna(axis = 1, how = 'all')Copyright © 2021 Codeinu
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