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 equal.

Example #1 : In this example we can see that by using np.assert_almost_equal() method, we are able to get the assertion error if two values are not equal up to a precision value by using this method. Python3 1=1

# import numpy and assert_almost_equal
import numpy as np
import numpy.testing as npt

# using np.assert_almost_equal() method
gfg = npt.assert_almost_equal(1.2222222222, 1.2222222222, decimal = 5)

print(gfg)

Output :

Nope

Example #2 : Python3 1=1

# import numpy and assert_almost_equal
import numpy as np
import numpy.testing as npt

# using np.assert_almost_equal() method
gfg = npt.assert_almost_equal(1.2222222222, 1.2223422222, decimal = 5)

print(gfg)

Output :

AssertionError: Arrays are not almost equal to 5 decimals ACTUAL: 1.2222222222 DESIRED: 1.2223422222