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 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__()) |
[-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.__neg__() method print (gfg.__neg__()) |
[[-1 -2 3 -4 -5 -6] [ 6 -5 -4 -3 -2 1]]
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