Python | Numpy MaskedArray.__pow__

Python | Numpy numpy.ndarray.pow()

Last Updated : 25 Sep, 2024

With the help of Numpy numpy.ndarray.__pow__() method, we will get all the elements powered with the value that is provided as a parameter in numpy.ndarray.__pow__() method.

Syntax: ndarray.__pow__($self, value, mod=None, /)
Return: pow(self, value, mod)

Example #1 :

In this example we can see that every element get powered with the value that is provided as a parameter in ndarray.__pow__() method.

Python

# import the important module in python
import numpy as np
   
# make an array with numpy
gfg = np.array([1, 2, 3, 4, 5])
   
# applying ndarray.__pow__() method
print(gfg.__pow__(3))

Output

[  1   8  27  64  125]

Example #2 :

Python

# import the important module in python
import numpy as np
   
# make an array with numpy
gfg = np.array([[1, 2, 3, 4, 5],
                [6, 5, 4, 3, 2]])
   
# applying ndarray.__pow__() method
print(gfg.__pow__(2))

Output

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

Python | Numpy MaskedArray.__pow__

J

jitender_1998

Improve

Article Tags :

Practice Tags :

python

Similar Reads

Python | Numpy numpy.ndarray.__mod__()

With the help of Numpy numpy.ndarray.__mod__(), every element in an array is operated on binary operator i.e mod(%). Remember we can use any type of values in an array and value for mod is applied as the parameter in ndarray.__mod__(). Syntax: ndarray.__mod__($self, value, /) Return: self%value Exam

Python | Numpy numpy.ndarray.__add__()

With the help of Numpy numpy.ndarray.__add__(), we can add a particular value that is provided as a parameter in the ndarray.__add__() method. Value will be added to each and every element in a numpy array. Syntax: ndarray.__add__($self, value, /) Return: self+value Example #1 : In this example we c

Python | Numpy numpy.ndarray.__imul__()

With the help of numpy.ndarray.__imul__() method, we can multiply a particular value that is provided as a parameter in the ndarray.__imul__() method. Value will be multiplied to every element in a numpy array. Syntax: ndarray.__imul__($self, value, /)Return: self*=value Example #1 : In this example

Python | Numpy numpy.ndarray.__iadd__()

With the help of numpy.ndarray.__iadd__() method, we can add a particular value that is provided as a parameter in the ndarray.__iadd__() method. Value will be added to every element in a numpy array. Syntax: ndarray.__iadd__($self, value, /) Return: self+=value Example #1 : In this example we can s

Python | Numpy MaskedArray.__pow__

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

NumPy Array in Python

NumPy (Numerical Python) is a powerful library for numerical computations in Python. It is commonly referred to multidimensional container that holds the same data type. It is the core data structure of the NumPy library and is optimized for numerical and scientific computation in Python. Table of C