numpy.ma.MaskedArray class
is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__xor__ method we can get the elements that is XOR by the value that is provided as a parameter.
Syntax: numpy.MaskedArray.__xor__($self, value, /)
Return: Return self^value.
Example #1 :
In this example we can see that every element is xor with 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.__xor__() method print (gfg.__xor__( 2 )) |
[3 0 1 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.__xor__() method print (gfg.__xor__( 1 )) |
[[0 3 2 5 4] [7 4 5 2 3]]