удалить строки или столбцы со значением NAN
df.dropna() #drop all rows that have any NaN values
df.dropna(how='all')
Desert Trap
df.dropna() #drop all rows that have any NaN values
df.dropna(how='all')
#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)