Python | Numpy MaskedArray.__div__

Python | Numpy MaskedArray.iand()

Last Updated : 23 Apr, 2019

numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__iand__we can get the elements that is anded by the value that is provided as a parameter in the MaskedArray.__iand__() method.

Syntax: numpy.MaskedArray.__iand__($self, value, /) Return: Return self&=value.

Example #1 : In this example we can see that every element is anded by the value that is passed as a parameter in MaskedArray.__iand__() method.

Python3 1==

# import the important module in python 
import numpy as np 
    
# make an array with numpy 
gfg = np.ma.array([1, 2, 3, 4, 5]) 
    
# applying MaskedArray.__iand__() method 
print(gfg.__iand__(2))

Output:

[0 2 2 0 0]

Example #2:

Python3 1==

# import the important module in python 
import numpy as np 
    
# make an array with numpy 
gfg = np.ma.array([[1, 2, 3, 4, 5], 
                [6, 5, 4, 3, 2]]) 
    
# applying MaskedArray.__iand__() method 
print(gfg.__iand__(1))

Output:

[[1 0 1 0 1]
 [0 1 0 1 0]]

Python | Numpy MaskedArray.__div__

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