Python | Numpy np.assert_array_equal() method (original) (raw)

Last Updated : 23 Jan, 2020

With the help of **np.assert_array_equal()** method, we can get the assertion error if two array like objects are not equal by using np.assert_array_equal() method.

Syntax : np.assert_array_equal(x, y)
Return : Return the assertion error if two objects are not equal.

Example #1 :
In this example we can see that by using np.assert_array_equal() method, we are able to get the assertion error if two error like objects are not equal by using this method.

import numpy as np

import numpy.testing as npt

gfg = npt.assert_array_equal([ 1.22 , 0.22 ], [ 1.22 , 0.22 ])

print (gfg)

Output :

None

Example #2 :

import numpy as np

import numpy.testing as npt

gfg = npt.assert_array_equal([ 1.22 , 1.22 ], [ 2.22 , 0.22 ])

print (gfg)

Output :

AssertionError:
Arrays are not equal

Mismatch: 100%
Max absolute difference: 1.
Max relative difference: 4.54545455
x: array([1.22, 1.22])
y: array([2.22, 0.22])

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