Uncertainties

Latest version: v3.2.1

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3.2.0

first minor release in over five years. It marks the beginning of an effort to
refresh and update the project with a new and expanded team of maintainers.

* Main Changes

- Moved code development to lmfit organization, with 4 maintainers.
- Update documentation.
- Drop future dependency. Uncertainties now has no external dependencies when
not using Numpy integration (Drop official support for Python versions before 3.8 200).
- Drop support for Python versions before 3.8, including Python 2 (Drop official support for Python versions before 3.8 200)
- remove 1to2 and deprecations (remove 1to2 and depreciations 214)

* Developer related changes

- Moved from setup.py to pyproject.toml (Transition from setup.py to pyproject.toml 199)
- Move tests to tests folder (Move tests to tests folder 216)
- Update unumpy test to be compatible with numpy 2
- Mark docstrings with backslashes as raw strings in tests (Mark docstrings with backslashes as raw strings 226)



Older Version history
------------------------

Main changes:
- 3.1.6: The pretty-print and LaTeX format can now be customized.
- 3.1.5: Added a "p" formatting option, that makes sure that there are always
parentheses around the … ± … part of printed numbers.
- 3.1.4: Python 2.7+ is now required.
- 3.1.2: Fix for NumPy 1.17 and ``unumpy.ulinalg.pinv()``.
- 3.1: Variables built through a correlation or covariance matrix, and that
have uncertainties that span many orders of magnitude are now
calculated more accurately (improved ``correlated_values()`` and
``correlated_values_norm()`` functions).
- 3.0: Massive speedup for some operations involving large numbers of numbers with uncertainty, like ``sum(ufloat(1, 1) for _ in xrange(100000))`` (this is about 5,000 times faster than before).
- 2.4.8: Friendlier completions in Python shells, etc.: internal functions should not appear anymore (for the user modules: ``uncertainties``, ``uncertainties.umath`` and ``uncertainties.unumpy``). Parsing the shorthand notation (e.g. ``3.1(2)``) now works with infinite values (e.g. ``-inf(inf)``); this mirrors the ability to print such numbers with uncertainty. The Particle Data Group rounding rule is applied in more cases (e.g. printing 724.2±26.2 now gives ``724±26``). The shorthand+LaTeX formatting of numbers with an infinite nominal value is fixed. ``uncertainties.unumpy.matrix`` now uses ``.std_devs`` instead of ``.std_devs()``, for consistency with floats with uncertainty (automatic conversion of code added to ``uncertainties.1to2``).
- 2.4.7: String formatting now works for ``(-)inf+/-...`` numbers.
- 2.4.5: String formatting now works for ``NaN+/-...`` numbers.
- 2.4.4: The documentation license now allows its commercial use.
- 2.4.2: `NumPy 1.8 compatibility <https://github.com/numpy/numpy/issues/4063>`_.
- 2.4.1: In ``uncertainties.umath``, functions ``ceil()``, ``floor()``,
``isinf()``, ``isnan()`` and ``trunc()`` now return values of
the same type as the corresponding ``math`` module function
(instead of generally returning a value with a zero uncertainty
``...+/-0``).
- 2.4: Extensive support for the formatting_ of numbers with uncertainties.
A zero uncertainty is now explicitly displayed as the integer 0.
The new formats are generally understood by ``ufloat_fromstr()``.
Abbreviations for the nominal value (``n``) and the standard
deviation (``s``) are now available.
- 2.3.6: Full support for limit cases of the power operator
``umath.pow()``.
- 2.3.5: Uncertainties and derivatives can now be NaN (not-a-number).
Full support for numbers with a zero uncertainty
(``sqrt(ufloat(0, 0))`` now works).
Full support for limit cases of the power operator (``x**y``).
- 2.3: Functions wrapped
so that they accept numbers with uncertainties instead of floats
now have full keyword arguments support
(improved ``wrap()`` function). Incompatible change:
``wrap(..., None)`` should be replaced by ``wrap(...)`` or
``wrap(..., [])``.
- 2.2: Creating arrays and matrices of numbers with uncertainties
with ``uarray()`` and ``umatrix()`` now requires two simple arguments
(nominal values and standard deviations) instead of a tuple argument.
This is consistent with the new, simpler ``ufloat()`` interface.
The previous
usage will be supported for some time. Users are encouraged to update
their code, for instance through the newly provided `code updater`_,
which in addition now automatically converts ``.set_std_dev(v)`` to
``.std_dev = v``.
- 2.1: Numbers with uncertainties are now created more directly like
``ufloat(3, 0.1)``, ``ufloat(3, 0.1, "pi")``,
``ufloat_fromstr("3.0(1)")``, or ``ufloat_fromstr("3.0(1)", "pi")``.
The previous ``ufloat((3, 0.1))`` and ``ufloat("3.0(1)")`` forms
will be supported for some time. Users are encouraged to update
their code, for instance through the newly provided `code updater`_.
- 2.0: The standard deviation is now obtained more directly without an
explicit
call (``x.std_dev`` instead of ``x.std_dev()``). ``x.std_dev()``
will be supported for some time. Users are encouraged to update
their code. The standard deviation of a variable can now be
directly updated with ``x.std_dev = 0.1``. As a consequence,
``x.set_std_dev()`` is deprecated.
- 1.9.1: Support added for pickling subclasses of ``UFloat`` (= ``Variable``).
- 1.9: Added functions for handling correlation matrices:
``correlation_matrix()`` and
``correlated_values_norm()``. (These new functions mirror the
covariance-matrix based ``covariance_matrix()`` and
``correlated_values()``.) ``UFloat.position_in_sigmas()`` is
now named ``UFloat.std_score()``, so as to follow the common
naming convention (`standard score
<http://en.wikipedia.org/wiki/Standard_score>`_). Obsolete
functions were removed (from the main module:
``NumberWithUncert``, ``num_with_uncert``, ``array_u``,
``nominal_values``, ``std_devs``).
- 1.8: Compatibility with Python 3.2 added.
- 1.7.2: Compatibility with Python 2.3, Python 2.4, Jython 2.5.1 and
Jython 2.5.2 added.
- 1.7.1: New semantics: ``ufloat("12.3(78)")`` now represents 12.3+/-7.8
instead of 12.3+/-78.
- 1.7: ``ufloat()`` now raises ValueError instead of a generic Exception,
when given an incorrect
string representation, like ``float()`` does.
- 1.6: Testing whether an object is a number with uncertainty should now
be done with ``isinstance(..., UFloat)``.
``AffineScalarFunc`` is not imported by ``from uncertainties import *``
anymore, but its new alias ``UFloat`` is.
- 1.5.5: The first possible license is now the Revised BSD License
instead of GPLv2, which
makes it easier to include this package in other projects.
- 1.5.4.2: Added ``umath.modf()`` and ``umath.frexp()``.
- 1.5.4: ``ufloat`` does not accept a single number (nominal value) anymore.
This removes some potential confusion about
``ufloat(1.1)`` (zero uncertainty) being different from
``ufloat("1.1")`` (uncertainty of 1 on the last digit).
- 1.5.2: ``float_u``, ``array_u`` and ``matrix_u`` renamed ``ufloat``,
``uarray`` and ``umatrix``, for ease of typing.
- 1.5: Added functions ``nominal_value`` and ``std_dev``, and
modules ``unumpy`` (additional support for NumPy arrays and
matrices) and ``unumpy.ulinalg`` (generalization of some
functions from ``numpy.linalg``).
Memory footprint of arrays of numbers with uncertainties
divided by 3.
Function ``array_u`` is 5 times faster.
Main function ``num_with_uncert`` renamed
``float_u``, for consistency with ``unumpy.array_u`` and
``unumpy.matrix_u``, with the added benefit of a shorter name.
- 1.4.5: Added support for the standard ``pickle`` module.
- 1.4.2: Added support for the standard ``copy`` module.
- 1.4: Added utilities for manipulating NumPy arrays of numbers with
uncertainties (``array_u``, ``nominal_values`` and ``std_devs``).
- 1.3: Numbers with uncertainties are now constructed with
``num_with_uncert()``, which replaces ``NumberWithUncert()``. This
simplifies the class hierarchy by removing the ``NumberWithUncert`` class.
- 1.2.5: Numbers with uncertainties can now be entered as
``NumberWithUncert("1.23+/-0.45")`` too.
- 1.2.3: ``log(x, base)`` is now supported by ``umath.log()``, in addition
to ``log(x)``.
- 1.2.2: Values with uncertainties are now output like 3+/-1, in order
to avoid confusing 3+-1 with 3+(-1).
- 1.2: A new function, ``wrap()``, is exposed, which allows non-Python
functions (e.g. Fortran or C used through a module such as SciPy) to
handle numbers with uncertainties.
- 1.1: Mathematical functions (such as cosine, etc.) are in a new
uncertainties.umath module;
they do not override functions from the ``math`` module anymore.
- 1.0.12: Main class (``Number_with_uncert``) renamed ``NumberWithUncert``
so as to follow `PEP 8`_.
- 1.0.11: ``origin_value`` renamed more appropriately as
``nominal_value``.
- 1.0.9: ``correlations()`` renamed more appropriately as
``covariance_matrix()``.

.. _math: http://docs.python.org/library/math.html
.. _PEP 8: http://www.python.org/dev/peps/pep-0008/
.. _code updater: http://uncertainties-python-package.readthedocs.io/en/latest/index.html#migration-from-version-1-to-version-2
.. _formatting: http://uncertainties-python-package.readthedocs.io/en/latest/user_guide.html#printing

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