numpy.not_equal() in Python
Last Updated :
28 Mar, 2022
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
import numpy as geek
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)
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Output :
Comparing complex with int using .not_equal() : [ True False]
Code 3 :
Python
import numpy as geek
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)
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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.
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