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 decimalsMismatch: 100%
Max absolute difference: 2.99
Max relative difference: 0.92793743
x: array([0.232, 1.262])
y: array([3.222, 1.222])