How to create feature with condition by using where()?

I am encoding my categorical data in column "Gender" by get_dummies()
Data at begining
Next, I have to create new feature isMale by using where()
This feature should show gender by value(0 and 1), if gender is "female" than isMale equals to 0, and analogical gender="male" than isMale=1

And this feature should swap my "Gender" or just concatenate to my dataset

I don’t get how to use where() method for creating feature

>Solution :

To replace your gender column:

import numpy as np
import pandas as pd


df['Gender'] = np.where(df['Gender'] == "Male", 1, 0)

To add a new column:

import numpy as np
import pandas as pd


df['isMale'] = np.where(df['Gender'] == "Male", 1, 0)