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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, /)

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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]]



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