numpy.not_equal() in Python

The numpy.not_equal() checks whether two element or unequal or not. Syntax : 

numpy.not_equal(x1, x2[, out])

Parameters : 

x1, x2 : [array_like]Input Array whose elements we want to check
out    : [ndarray, optional]Output array that returns True/False.
    A placeholder the same shape as x1 to store the result.

Return : 

Boolean array 

Code 1 : 

Output : 

Not equal : 
 [False  True] 

Not equal : 
 [[False  True]
 [False  True]] 

Code 2 : 

Python

# Python Program illustrating
# numpy.not_equal() method

import numpy as geek

# Here we will compare Complex values with int
a = geek.array([0 + 1j, 2])
b = geek.array([1,2])

d  = geek.not_equal(a, b)
print("Comparing complex with int using .not_equal() : ", d)

Output : 

Comparing complex with int using .not_equal() :  [ True False]

Code 3 : 

Python

# Python Program illustrating
# numpy.not_equal() method

import numpy as geek

# Here we will compare Float with int values
a = geek.array([1.1, 1])
b = geek.array([1, 2])

d  = geek.not_equal(a, b)
print("\nComparing float with int using .not_equal() : ", d)

Output : 

 Comparing float with int using .not_equal() :  [ True  True]

References : https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.not_equal.html Note :These codes won’t run on online IDE’s. So please, run them on your systems to explore the working.