remove all rows where one ccolumns egale to nan

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Cristóbal
29 Jul 2018
1df.dropna()     #drop all rows that have any NaN values
2df.dropna(how='all')
source
Sara Sofía
03 Jun 2017
1#remove in dataframe but no in the file
2df = df[df['column'].notna()]
3
4#remove in dataframe and in the file
5df.dropna(subset=['EPS'], how='all', inplace=True)
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