numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__pow__ method we can get the elements powered with the value that is provided as a parameter.
Syntax: numpy.MaskedArray.__pow__
Return: Raise self to the power other, masking the potential NaNs.
Example #1 :
In this example we can see that after applying MaskedArray.__pow__(), we can see that every element get powered with the value that is provided 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.__pow__() method print(gfg.__pow__(3)) |
Output:
[ 1 8 27 64 125]
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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.__pow__() method print(gfg.__pow__(2)) |
Output:
[[ 1 4 9 16 25] [36 25 16 9 4]]
