Python | Numpy numpy.ndarray.__ne__()

Python | Numpy numpy.ndarray.or()

Last Updated : 11 Mar, 2019

With the help of Numpy numpy.ndarray.__or__() method, we can get the elements that is OR by the value that is provided as a parameter in numpy.ndarray.__or__() method.

Syntax: ndarray.__or__($self, value, /)

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 in ndarray.__or__() method.

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

Output:

[[1 3 3 5 5]
 [7 5 5 3 3]]

Python | Numpy numpy.ndarray.__ne__()

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