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.
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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