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