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 import numpy as np # using numpy.assert_allclose() method gfg1 = [1, 2, 3] gfg2 = np.array(gfg1) if np.testing.assert_allclose(gfg1, gfg2): print("Matched") |
Output :
Matched
Example #2 :
# import numpy import numpy as np # using numpy.assert_allclose() method 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])
