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 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__()) |
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Output:
[-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__()) |
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Output:
[[-1 -2 3 -4 -5 -6] [ 6 -5 -4 -3 -2 1]]
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