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

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.

import numpy as np

import numpy.testing as npt

gfg = npt.assert_array_almost_equal([ 0.2222 , 1.2222 ], [ 0.2222 , 1.2222 ], decimal = 3 )

print (gfg)

Output :

None

Example #2 :

import numpy as np

import numpy.testing as npt

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])

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