numpy.not_equal() in Python

Last Updated : 03 Jun, 2024

The numpy.not_equal() checks whether two element are 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 :

Python

# Python Program illustrating 
# numpy.not_equal() method 

import numpy as geek 

a = geek.not_equal([1., 2.], [1., 3.]) 
print("Not equal : \n", a, "\n") 

b = geek.not_equal([1, 2], [[1, 3],[1, 4]]) 
print("Not equal : \n", b, "\n")

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]

Python Introduction

Mohit Gupta

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