numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__div__ we can divide a particular value that is provided as a parameter in the MaskedArray.__div__() method.

Syntax: numpy.MaskedArray.__div__ Return: Divide other into self, and return a new masked array.

Example #1 : In this example we can see that each and every element in an array is divided with the value given as a parameter in method MaskedArray.__div__(). Python3 1==

# import the important module in python 
import numpy as np 

# make an array with numpy 
gfg = np.ma.array([22, 33, 44, 55, 77]) 

# applying MaskedArray.__div__() method 
print(gfg.__div__(11)) 

  Example #2: Python3 1==

# import the important module in python 
import numpy as np 

# make an array with numpy 
gfg = np.ma.array([[10, 20, 30, 40, 50], 
                [11, 22, 33, 44, 55]]) 

# applying MaskedArray.__div__() method 
print(gfg.__div__(5))