Python | Numpy np.assert_array_less() method

Python | Numpy np.assert_array_equal() method

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.

Python3 1=1

# 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 :

Python3 1=1

# 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])

Python | Numpy np.assert_array_less() method

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