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Python | Numpy MaskedArray.__ior__()

Python | Numpy MaskedArray.iand()

Last Updated : 23 Apr, 2019

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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.

   # 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:

   # 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.__ior__()

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Article Tags :

Python
Python numpy-ndarray
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Practice Tags :

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