drop if nan in column pandas
df = df[df['EPS'].notna()]
numpy remove columns containing nan
a = a[~(np.isnan(a).any(axis=0))] # removes columns containing at least one nan
a = a[~(np.isnan(a).all(axis=0))] # removes columns containing all nan
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