Python | Numpy MaskedArray.__pow__
Last Updated :
08 Apr, 2019
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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:
Example #2:
[ 1 8 27 64 125]
# 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]]
