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]]