Python | Numpy np.assert_array_almost_equal() method

Python | Numpy np.assert_array_almost_equal() method

Last Updated : 23 Jan, 2020

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.

Python3 1=1

# 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 :

Python3 1=1

# 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 decimals Mismatch: 100% Max absolute difference: 2.99 Max relative difference: 0.92793743 x: array([0.232, 1.262]) y: array([3.222, 1.222])

Python | Numpy np.assert_array_almost_equal() method

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