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Module « numpy.testing »

Fonction assert_almost_equal - module numpy.testing

Signature de la fonction assert_almost_equal

def assert_almost_equal(actual, desired, decimal=7, err_msg='', verbose=True) 

Description

help(numpy.testing.assert_almost_equal)

Raises an AssertionError if two items are not equal up to desired
precision.

.. note:: It is recommended to use one of `assert_allclose`,
          `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
          instead of this function for more consistent floating point
          comparisons.

The test verifies that the elements of `actual` and `desired` satisfy::

    abs(desired-actual) < float64(1.5 * 10**(-decimal))

That is a looser test than originally documented, but agrees with what the
actual implementation in `assert_array_almost_equal` did up to rounding
vagaries. An exception is raised at conflicting values. For ndarrays this
delegates to assert_array_almost_equal

Parameters
----------
actual : array_like
    The object to check.
desired : array_like
    The expected object.
decimal : int, optional
    Desired precision, default is 7.
err_msg : str, optional
    The error message to be printed in case of failure.
verbose : bool, optional
    If True, the conflicting values are appended to the error message.

Raises
------
AssertionError
  If actual and desired are not equal up to specified precision.

See Also
--------
assert_allclose: Compare two array_like objects for equality with desired
                 relative and/or absolute precision.
assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal

Examples
--------
>>> from numpy.testing import assert_almost_equal
>>> assert_almost_equal(2.3333333333333, 2.33333334)
>>> assert_almost_equal(2.3333333333333, 2.33333334, decimal=10)
Traceback (most recent call last):
    ...
AssertionError:
Arrays are not almost equal to 10 decimals
 ACTUAL: 2.3333333333333
 DESIRED: 2.33333334

>>> assert_almost_equal(np.array([1.0,2.3333333333333]),
...                     np.array([1.0,2.33333334]), decimal=9)
Traceback (most recent call last):
    ...
AssertionError:
Arrays are not almost equal to 9 decimals
<BLANKLINE>
Mismatched elements: 1 / 2 (50%)
Max absolute difference among violations: 6.66669964e-09
Max relative difference among violations: 2.85715698e-09
 ACTUAL: array([1.         , 2.333333333])
 DESIRED: array([1.        , 2.33333334])

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