Python | Numpy numpy.ndarray.__ge__()

Python | Numpy numpy.ndarray.neg()

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]]

Python | Numpy numpy.ndarray.__ge__()

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