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 ))
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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 ))
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Output:
[[1 0 1 0 1] [0 1 0 1 0]]