Python | Numpy np.assert_array_equal() method
Last Updated :
23 Jan, 2020
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With the help of
Python3 1=1
Output :
Python3 1=1
Output :
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)
NoneExample #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)
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])