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


