Python | Numpy MaskedArray.__and__
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.__and__ method we can get the elements that is anded by the value that is provided as a parameter.
Syntax: numpy.MaskedArray.__and__
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.
import numpy as np
gfg = np.ma.array([ 1 , 2 , 3 , 4 , 5 ])
print (gfg.__and__( 2 ))
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Example #2:
import numpy as np
gfg = np.ma.array([[ 1 , 2 , 3 , 4 , 5 ],
[ 6 , 5 , 4 , 3 , 2 ]])
print (gfg.__and__( 1 ))
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Output:
[[1 0 1 0 1]
[0 1 0 1 0]]
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