Python | Numpy np.assert_approx_equal() method

Python | Numpy np.assert_approx_equal() method

Last Updated : 30 Jan, 2020

With the help of np.assert_approx_equal() method, we can get the assertion error if two items are not equal up to significant digits by using np.assert_approx_equal() method.

Syntax : np.assert_approx_equal(actual, desired, significant) Return : Return the assertion error if two values are not equal.

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

Python3 1=1

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

# using np.assert_approx_equal() method
gfg = npt.assert_approx_equal(1.2222222222, 1.2222222222, significant = 5)

print(gfg)

Output :

Nope

Example #2 :

Python3 1=1

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

# using np.assert_approx_equal() method
gfg = npt.assert_approx_equal(1.2222222222, 1.23422222, significant = 5)

print(gfg)

Output :

AssertionError: Items are not equal to 5 significant digits: ACTUAL: 1.2222222222 DESIRED: 1.23422222

Python | Numpy np.assert_approx_equal() method

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