Skip to content
Related Articles

Related Articles

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.




# 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]]

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.

My Personal Notes arrow_drop_up
Recommended Articles
Page :