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 numpy as np
gfg = np.array([ 1 , - 2 , 3 , 4 , 5 , 6 ])
print (gfg.__pos__())
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Example #2 :
import numpy as np
gfg = np.array([[ 1 , 2 , - 3 , 4 , 5 , 6 ],
[ - 6 , 5 , 4 , 3 , 2 , - 1 ]])
print (gfg.__pos__())
|
Output:
[[ 1 2 -3 4 5 6]
[-6 5 4 3 2 -1]]
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Last Updated :
05 Mar, 2019
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