Logical AND operation in Pandas DataFrame

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schedule Jul 1, 2022

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Use & to perform a logical AND operation in Pandas DataFrame.

Consider the following DataFrame:


        
        
            
                
                
                    import pandas as pd
df = pd.DataFrame({"A":[True,False,False],"B":[True,True,False]})
df
                
            
               A      B
0  True   True
1  False  True
2  False  False

To perform a bit-wise logical AND operation between columns A and B:


        
        
            
                
                
                    df["A"] & df["B"]
                
            
            0     True
1    False
2    False
dtype: bool

Here, a True is returned for the first row because both columns A and B have True as the first row.

Published by Isshin Inada

Edited by 0 others

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