A package for handling numpy arrays with units
Project description
====
unyt
====
.. image:: https://img.shields.io/pypi/v/unyt.svg
:target: https://pypi-hypernode.com/pypi/unyt
.. image:: https://img.shields.io/travis/yt-project/unyt.svg
:target: https://travis-ci.org/yt-project/unyt
.. image:: https://ci.appveyor.com/api/projects/status/4j1nxunkj759pgo0?svg=true
:target: https://ci.appveyor.com/project/ngoldbaum/unyt
.. image:: https://readthedocs.org/projects/unyt/badge/?version=latest
:target: https://unyt.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
.. image:: https://codecov.io/gh/yt-project/unyt/branch/master/graph/badge.svg
:target: https://codecov.io/gh/yt-project/unyt
:alt: Test Coverage
.. raw:: html
<br/><a href="https://yt-project.org"><img src="docs/_static/yt_logo.png" width="200"></a>
A package for handling numpy arrays with units.
Often writing code that deals with data that has units can be confusing. A
function might return an array but at least with plain NumPy arrays, there is no
way to easily tell what the units of the data are without somehow knowing *a
prioi*.
The ``unyt`` package (pronounced like "unit") provides a subclass of NumPy's
``ndarray`` class that knows about units. For example, one could do:
>>> import unyt as u
>>> distance_traveled = [3.4, 5.8, 7.2] * u.mile
>>> print(distance_traveled.to('km'))
[ 5.4717696 9.3341952 11.5872768] km
And a whole lot more! See `the documentation <http://unyt.readthedocs.io>`_ for
more examples as well as full API docs.
This package only depends on ``numpy``, ``sympy``, ``six`` and, on Python 2.7,
``backports.functools_lru_cache`` (a backport of ``functools.lru_cache``).
Notably, it does *not* depend on ``yt`` and it is written in pure Python.
Code of Conduct
---------------
The ``unyt`` package is part of `The yt Project
<https://yt-project.org>`_. Participating in ``unyt`` development therefore
happens under the auspices of the `yt community code of conduct
<http://yt-project.org/doc/developing/developing.html#yt-community-code-of-conduct>`_. If
for any reason you feel that the code of conduct has been violated, please send
an e-mail to confidential@yt-project.org with details describing the
incident. All emails sent to this address will be treated with the strictest
confidence by an individual who does not normally participate in yt development.
License
-------
The unyt package is licensed under the BSD 3-clause license.
Citation
--------
If you make use of unyt in a publication we would appreciate a mention in the text of the paper or in the acknowledgements.
=======
History
=======
unyt began life as a submodule of yt named yt.units.
It was separated from yt.units as its own package in 2018.
1.0.2 (2018-06-06)
------------------
* Added a paper to be submitted to the Journal of Open Source Software.
* Tweaks for the readme
1.0.1 (2018-05-24)
------------------
* Don't use setup_requires in setup.py
1.0.0 (2018-05-24)
------------------
* First release on PyPI.
unyt
====
.. image:: https://img.shields.io/pypi/v/unyt.svg
:target: https://pypi-hypernode.com/pypi/unyt
.. image:: https://img.shields.io/travis/yt-project/unyt.svg
:target: https://travis-ci.org/yt-project/unyt
.. image:: https://ci.appveyor.com/api/projects/status/4j1nxunkj759pgo0?svg=true
:target: https://ci.appveyor.com/project/ngoldbaum/unyt
.. image:: https://readthedocs.org/projects/unyt/badge/?version=latest
:target: https://unyt.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
.. image:: https://codecov.io/gh/yt-project/unyt/branch/master/graph/badge.svg
:target: https://codecov.io/gh/yt-project/unyt
:alt: Test Coverage
.. raw:: html
<br/><a href="https://yt-project.org"><img src="docs/_static/yt_logo.png" width="200"></a>
A package for handling numpy arrays with units.
Often writing code that deals with data that has units can be confusing. A
function might return an array but at least with plain NumPy arrays, there is no
way to easily tell what the units of the data are without somehow knowing *a
prioi*.
The ``unyt`` package (pronounced like "unit") provides a subclass of NumPy's
``ndarray`` class that knows about units. For example, one could do:
>>> import unyt as u
>>> distance_traveled = [3.4, 5.8, 7.2] * u.mile
>>> print(distance_traveled.to('km'))
[ 5.4717696 9.3341952 11.5872768] km
And a whole lot more! See `the documentation <http://unyt.readthedocs.io>`_ for
more examples as well as full API docs.
This package only depends on ``numpy``, ``sympy``, ``six`` and, on Python 2.7,
``backports.functools_lru_cache`` (a backport of ``functools.lru_cache``).
Notably, it does *not* depend on ``yt`` and it is written in pure Python.
Code of Conduct
---------------
The ``unyt`` package is part of `The yt Project
<https://yt-project.org>`_. Participating in ``unyt`` development therefore
happens under the auspices of the `yt community code of conduct
<http://yt-project.org/doc/developing/developing.html#yt-community-code-of-conduct>`_. If
for any reason you feel that the code of conduct has been violated, please send
an e-mail to confidential@yt-project.org with details describing the
incident. All emails sent to this address will be treated with the strictest
confidence by an individual who does not normally participate in yt development.
License
-------
The unyt package is licensed under the BSD 3-clause license.
Citation
--------
If you make use of unyt in a publication we would appreciate a mention in the text of the paper or in the acknowledgements.
=======
History
=======
unyt began life as a submodule of yt named yt.units.
It was separated from yt.units as its own package in 2018.
1.0.2 (2018-06-06)
------------------
* Added a paper to be submitted to the Journal of Open Source Software.
* Tweaks for the readme
1.0.1 (2018-05-24)
------------------
* Don't use setup_requires in setup.py
1.0.0 (2018-05-24)
------------------
* First release on PyPI.
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