Python | Numpy MaskedArray.__div__

Python | Numpy MaskedArray.div

Last Updated : 27 Mar, 2019

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))

Output:

[2.0 3.0 4.0 5.0 7.0]

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))

Output:

[[2.0 4.0 6.0 8.0 10.0]
 [2.2 4.4 6.6 8.8 11.0]]

Python | Numpy MaskedArray.__div__

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