# Python | Numpy np.assert_array_equal() method

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 and assert_array_equal ` `import` `numpy as np ` `import` `numpy.testing as npt ` ` `  `# using np.assert_array_equal() method ` `gfg ``=` `npt.assert_array_equal([``1.22``, ``0.22``], [``1.22``, ``0.22``]) ` ` `  `print``(gfg) `

Output :

None

Example #2 :

 `# import numpy and assert_array_equal ` `import` `numpy as np ` `import` `numpy.testing as npt ` ` `  `# using np.assert_array_equal() method ` `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])

My Personal Notes arrow_drop_up

Check out this Author's contributed articles.

If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.

Article Tags :

Be the First to upvote.

Please write to us at contribute@geeksforgeeks.org to report any issue with the above content.