delete all rows with nan values code example

Example 1: how to filter out all NaN values in pandas df

#return a subset of the dataframe where the column name value != NaN 
df.loc[df['column name'].isnull() == False]

Example 2: 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)