numpy.not_equal() in Python
Last Updated :
03 Jun, 2024
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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 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 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 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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