Logical and operation of column in pandas python

Logical and operation of two columns in pandas python can be done using logical_and function. Let’s see how to get

  •   Logical and operator of column in pandas python

With examples

First let’s create a dataframe

import pandas as pd
import numpy as np

df1 = {
    'State':['Arizona AZ','Georgia GG','Newyork NY','Indiana IN','Florida FL'],
   'Score1':[4,47,55,74,31],
   'Score2':[5,67,54,56,12]}

df1 = pd.DataFrame(df1,columns=['State','Score1','Score2'])
print(df1)

df1 will be

Logical and operator in pandas 1

 

Logical and operation of two columns in pandas python:

Logical and of two columns in pandas python is shown below. It will result in True when both the scores are greater than 40.

df1['Pass_Status'] = np.logical_and(df1['Score1'] > 40,df1['Score2'] > 40)
print(df1)

So the resultant dataframe will be

Logical and operator in pandas 2

 

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