Python | Numpy MaskedArray.__rpow__

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.__rpow__

Return: Raise other to the power self, masking the potential NaNs.

Example #1 :
In this example we can see that after applying MaskedArray.__rpow__(), 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.__rpow__(3))

Output:

[  3   9  27  81 243]

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.__rpow__() method
print(gfg.__pow__(2))

Output:

[[ 1  4  9 16 25]
 [36 25 16  9  4]]