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 numpy as np
gfg = np.ma.array([ 1 , 2 , 3 , 4 , 5 ])
print (gfg.__or__( 2 ))
|
Example #2:
import numpy as np
gfg = np.ma.array([[ 1 , 2 , 3 , 4 , 5 ],
[ 6 , 5 , 4 , 3 , 2 ]])
print (gfg.__or__( 1 ))
|
Output:
[[1 3 3 5 5]
[7 5 5 3 3]]
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