Python

df = df[df['EPS'].notna()]

filtered_df = df[df['name'].notnull()]

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

df[~df.isin([np.nan, np.inf, -np.inf]).any(1)]

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