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.
# 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 :
# 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]]
