Python | Numpy numpy.ndarray.neg() (original) (raw)

Last Updated : 05 Mar, 2019

With the help of numpy.ndarray.__neg__() method of Numpy, one can multiply each and every element of an array with -1. Hence, the resultant array having values like positive values becomes negative and negative values become positive.

Syntax: ndarray.__neg__($self, /)Return: -self

**Example #1 :**In this example we can see that after applying numpy.__neg__(), we get the simple array with combination of positive and negative values in an array.

Python3 `

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.neg() method

print(gfg.neg())

`

Output:

[-1 2 -3 -4 -5 -6]

Example #2 :

Python3 `

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.neg() method

print(gfg.neg())

`

Output:

[[-1 -2 3 -4 -5 -6] [ 6 -5 -4 -3 -2 1]]