Python | Numpy numpy.ndarray.__or__()

Python | Numpy numpy.ndarray.sub()

Last Updated : 06 Mar, 2019

With the help of Numpy numpy.ndarray.__sub__(), We can subtract a particular value that is provided as a parameter in the ndarray.__sub__() method. Value will be subtracted to each and every element in a numpy array.

Syntax: ndarray.__sub__($self, value, /) Return: self-value

Example #1 : In this example we can see that each and every element in an array is subtracted with the value given as a parameter in method ndarray.__sub__(). Remember one thing it wouldn't work for double type values.

Python3 1==

# import the important module in python
import numpy as np
 
# make an array with numpy
gfg = np.array([1, 2, 3, 4, 5])
 
# applying ndarray.__sub__() method
print(gfg.__sub__(5))

Output:

[-4 -3 -2 -1  0]

Example #2 :

Python3 1==

# import the important module in python
import numpy as np
 
# make an array with numpy
gfg = np.array([[1, 2, 3, 4, 5],
                [6, 5, 4, 3, 2]])
 
# applying ndarray.__sub__() method
print(gfg.__sub__(5))

Output:

[[-4 -3 -2 -1  0]
 [ 1  0 -1 -2 -3]]

Python | Numpy numpy.ndarray.__or__()

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