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Python | Numpy MaskedArray.__or__

  • Last Updated : 08 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.__or__ method we can get the elements that is OR by the value that is provided as a parameter.

Syntax: numpy.MaskedArray.__or__

Return: Return self|value.

Example #1 :
In this example we can see that every element is or by the value that is passed as a parameter.




   
# 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.__or__() method 
print(gfg.__or__(2)) 
Output:
[3 2 3 6 7]

 
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.__or__() method 
print(gfg.__or__(1)) 
Output:
[[1 3 3 5 5]
 [7 5 5 3 3]]

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