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.
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]]
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