Python | Numpy ndarray.item()

Python | Numpy ndarray.ipow()

Last Updated : 27 Mar, 2019

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

Syntax: ndarray.__ipow__($self, value, /) Return: self**=value

Example #1 : In this example we can see that every element get powered with the value that is provided as a parameter in ndarray.__ipow__() method.

Python3 1==

# 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.__ipow__() method
print(gfg.__ipow__(3))

Output:

[  1   8  27  64 125]

Example #2 :

Python3 1==

# 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.__ipow__() method
print(gfg.__ipow__(2))

Output:

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

Python | Numpy ndarray.item()

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