Python | Numpy numpy.ndarray.__sub__()

Python | Numpy numpy.ndarray.pos()

Last Updated : 05 Mar, 2019

With the help of numpy.ndarray.__pos__() method of Numpy, one can multiply each and every element of an array with 1. Hence, the resultant array having values same as original array.

Syntax: ndarray.__pos__($self, /) Return: +self

Example #1 : In this example we can see that after applying numpy.__pos__(), we get the simple array that can be the same as original.

Python3

# import the important module in python
import numpy as np

# make an array with numpy
gfg = np.array([1, -2, 3, 4, 5, 6])

# applying numpy.__pos__() method
print(gfg.__pos__())

Output:

[ 1 -2  3  4  5  6]

Example #2 :

Python3

# import the important module in python
import numpy as np

# make an array with numpy
gfg = np.array([[1, 2, -3, 4, 5, 6],
                [-6, 5, 4, 3, 2, -1]])

# applying numpy.__pos__() method
print(gfg.__pos__())

Output:

[[ 1  2 -3  4  5  6]
 [-6  5  4  3  2 -1]]

Python | Numpy numpy.ndarray.__sub__()

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