Python | Numpy np.assert_approx_equal() method
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 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 :
# 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
