Python | Numpy np.assert_approx_equal() method (original) (raw)

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.

import numpy as np

import numpy.testing as npt

gfg = npt.assert_approx_equal( 1.2222222222 , 1.2222222222 , significant = 5 )

print (gfg)

Output :

Nope

Example #2 :

import numpy as np

import numpy.testing as npt

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

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