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 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 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])