With the help of np.assert_almost_equal() method, we can get the assertion error if two items are not equal up to desired precision value by using np.assert_almost_equal() method.
Syntax :
np.assert_almost_equal(actual, desired, decimal)
Return : Return the assertion error if two values are not equal.
Example #1 :
In this example we can see that by using np.assert_almost_equal() method, we are able to get the assertion error if two values are not equal up to a precision value by using this method.
# import numpy and assert_almost_equal import numpy as np import numpy.testing as npt   # using np.assert_almost_equal() method gfg = npt.assert_almost_equal(1.2222222222, 1.2222222222, decimal = 5)   print(gfg) |
Output :
Nope
Example #2 :
# import numpy and assert_almost_equal import numpy as np import numpy.testing as npt   # using np.assert_almost_equal() method gfg = npt.assert_almost_equal(1.2222222222, 1.2223422222, decimal = 5)   print(gfg) |
Output :
AssertionError:
Arrays are not almost equal to 5 decimals
ACTUAL: 1.2222222222
DESIRED: 1.2223422222
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