drop if nan in column pandas
df = df[df['EPS'].notna()]
drop null rows pandas
df.dropna()
dropping nan in pandas dataframe
df.dropna(subset=['name', 'born'])
remove or drop rows and columns with null values
DataFrame.dropna() method
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