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