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 if two objects are not equal.
Example #1 :
In this example we can see that by using np.assert_array_almost_equal() method, we are able to get the assertion error if two array objects are not equal by using this method.
# import numpy and assert_array_almost_equal import numpy as np import numpy.testing as npt # using np.assert_array_almost_equal() method gfg = npt.assert_array_almost_equal([0.2222, 1.2222], [0.2222, 1.2222], decimal = 3) print(gfg) |
Output :
None
Example #2 :
# import numpy and assert_array_almost_equal import numpy as np import numpy.testing as npt # using np.assert_array_almost_equal() method gfg = npt.assert_array_almost_equal([0.2322, 1.2622], [3.2222, 1.2222], decimal = 3) print(gfg) |
Output :
AssertionError:
Arrays are not almost equal to 3 decimalsMismatch: 100%
Max absolute difference: 2.99
Max relative difference: 0.92793743
x: array([0.232, 1.262])
y: array([3.222, 1.222])
