Let's compare two arrays with the functions we just mentioned. We will reuse the arrays from the previous Time for action section and add a NaN to them:
Call the
array_allclose()function:print("Pass", np.testing.assert_allclose([0, 0.123456789, np.nan], [0, 0.123456780, np.nan], rtol=1e-7, atol=0))The result is as follows:
Pass NoneCall the
array_equal()function:print("Fail", np.testing.assert_array_equal([0, 0.123456789, np.nan], [0, 0.123456780, np.nan]))The test fails with an
AssertionError:Fail Traceback (most recent call last): … assert_array_compare raise AssertionError(msg) AssertionError: Arrays are not equal (mismatch 50.0%) x: array([ 0. , 0.12345679, nan]) y: array([ 0. , 0.12345678, nan])