Python | Numpy numpy.ndarray.__neg__()
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.
import numpy as np
gfg = np.array([ 1 , - 2 , 3 , 4 , 5 , 6 ])
print (gfg.__neg__())
|
Output:
[-1 2 -3 -4 -5 -6]
Example #2 :
import numpy as np
gfg = np.array([[ 1 , 2 , - 3 , 4 , 5 , 6 ],
[ - 6 , 5 , 4 , 3 , 2 , - 1 ]])
print (gfg.__neg__())
|
Output:
[[-1 -2 3 -4 -5 -6]
[ 6 -5 -4 -3 -2 1]]
Last Updated :
05 Mar, 2019
Like Article
Save Article
Share your thoughts in the comments
Please Login to comment...