Python | Numpy np.assert_approx_equal() method Last Updated : 30 Jan, 2020 Summarize Comments Improve Suggest changes Share Like Article Like Report With the help of np.assert_approx_equal() method, we can get the assertion error if two items are not equal up to significant digits by using np.assert_approx_equal() method. Syntax : np.assert_approx_equal(actual, desired, significant) Return : Return the assertion error if two values are not equal. Example #1 : In this example we can see that by using np.assert_approx_equal() method, we are able to get the assertion error if two values are not equal up to a significant digit by using this method. Python3 1=1 # import numpy and assert_approx_equal import numpy as np import numpy.testing as npt # using np.assert_approx_equal() method gfg = npt.assert_approx_equal(1.2222222222, 1.2222222222, significant = 5) print(gfg) Output : Nope Example #2 : Python3 1=1 # import numpy and assert_approx_equal import numpy as np import numpy.testing as npt # using np.assert_approx_equal() method gfg = npt.assert_approx_equal(1.2222222222, 1.23422222, significant = 5) print(gfg) Output : AssertionError: Items are not equal to 5 significant digits: ACTUAL: 1.2222222222 DESIRED: 1.23422222 Comment More infoAdvertise with us Next Article Python | Numpy np.assert_array_almost_equal() method J jitender_1998 Follow Improve Article Tags : Python Python-numpy Python numpy-Testing Practice Tags : python Similar Reads 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 1 min read Python | Numpy np.assert_equal() method With the help of np.assert_equal() method, we can get the assertion error when two objects are not equal by using np.assert_equal() method. Syntax : np.assert_equal(actual, desired) Return : Return assertion error if two object are unequal. Example #1 : In this example we can see that by using np.as 1 min read Python | Numpy np.assert_almost_equal() method With the help of np.assert_almost_equal() method, we can get the assertion error if two items are not equal up to desired precision value by using np.assert_almost_equal() method. Syntax : np.assert_almost_equal(actual, desired, decimal) Return : Return the assertion error if two values are not equa 1 min read Python | Numpy np.assert_array_almost_equal() method With the help of np.assert_array_almost_equal() method, we can get the assertion error if two array objects are not equal up to desired precision value by using np.assert_array_almost_equal() method. Syntax : np.assert_array_almost_equal(actual, desired, decimal) Return : Return the assertion error 1 min read Python | Numpy np.assert_string_equal() method With the help of np.assert_string_equal() method, we can get the assertion error if two string are not equal by using np.assert_string_equal() method. Syntax : np.assert_string_equal(actual, desired) Return : Return assertion error if two strings are unequal. Example #1 : In this example we can see 1 min read Python | Numpy np.assert_array_less() method With the help of np.assert_array_less() method, we can get the assertion error if two array like objects are not ordered by less than by using np.assert_array_less() method. Syntax : np.assert_array_less(x, y) Return : Return assertion error if two array objects are unequal. Example #1 : In this exa 1 min read Like