numpy.not_equal() in Python (original) (raw)

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]

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