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__()) |
[ 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__()) |
[[ 1 2 -3 4 5 6] [-6 5 4 3 2 -1]]
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