# numpy.testing.assert_almost_equal

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

  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) < 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

      Mismatched elements: 1 / 2 (50%)
      Max absolute difference: 6.66669964e-09
      Max relative difference: 2.85715698e-09
       x: array([1.         , 2.333333333])
       y: array([1.        , 2.33333334])

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