drop if nan in column pandas
df = df[df['EPS'].notna()]
                                
                            drop null rows pandas
df.dropna()
                                
                            pandas remove rows with null in column
df = df[df['EPS'].notna()]
                                
                            clean nas from column pandas
>>> df.dropna()
     name        toy       born
1  Batman  Batmobile 1940-04-25
                                
                            threshold meaning in pandas dropna
>>>df = pd.DataFrame({"name": ['Alfred', 'Batman', 'Catwoman'],
                   "toy": [np.nan, 'Batmobile', 'Bullwhip'],
                   "born": [pd.NaT, pd.Timestamp("1940-04-25"),
                            pd.NaT]}) 
df.dropna(thresh=2)
       name        toy       born
1    Batman  Batmobile 1940-04-25
2  Catwoman   Bullwhip        NaT
                                
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