Python | numpy.assert_allclose() method (original) (raw)

Last Updated : 17 Sep, 2019

With the help of **numpy.assert_allclose()** method, we can get the assertion errors when two array objects are not equal upto the mark by using numpy.assert_allclose().

Syntax : numpy.assert_allclose(actual_array, desired_array)

Return : Return the Assertion error if two array objects are not equal.

Example #1 :
In this example we can see that using numpy.assert_allclose() method, we are able to get the assertion error if two arrays are not equal.

import numpy as np

gfg1 = [ 1 , 2 , 3 ]

gfg2 = np.array(gfg1)

if np.testing.assert_allclose(gfg1, gfg2):

`` print ( "Matched" )

Output :

Matched

Example #2 :

import numpy as np

gfg1 = [ 1 , 2 , 3 ]

gfg2 = np.array([ 4 , 5 , 6 ])

print (np.testing.assert_allclose(gfg1, gfg2))

Output :

Mismatch: 100%
Max absolute difference: 3
Max relative difference: 0.75
gfg1: array([1, 2, 3])
gfg2: array([4, 5, 6])

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