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hakonanes committed Apr 12, 2024
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87 changes: 59 additions & 28 deletions README.rst
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.. in the source distributions uploaded to PyPI
.. EXCLUDE
|binder|_ |build_status|_ |Coveralls|_ |docs|_ |pypi_version|_ |downloads|_ |black|_ |doi|_
orix is an open-source Python library for analysing orientations and crystal symmetry.

.. |binder| image:: https://mybinder.org/badge_logo.svg
.. _binder: https://mybinder.org/v2/gh/pyxem/orix/HEAD
The package defines objects and functions for the analysis of orientations represented
as quaternions and 3D rotation vectors, accounting for crystal symmetry.
Functionality builds primarily on `NumPy <https://www.numpy.org>`_ and `Matplotlib
<https://matplotlib.org>`_.
Initiation of the package was inspired by `MTEX <https://mtex-toolbox.github.io>`_.

orix is released under the GPL v3 license.

.. |pypi_version| image:: https://img.shields.io/pypi/v/orix.svg?style=flat
:target: https://pypi.python.org/pypi/orix

.. |conda| image:: https://img.shields.io/conda/vn/conda-forge/orix.svg?logo=conda-forge&logoColor=white
:target: https://anaconda.org/conda-forge/orix

.. |build_status| image:: https://github.com/pyxem/orix/workflows/build/badge.svg
.. _build_status: https://github.com/pyxem/orix/actions
:target: https://github.com/pyxem/orix/actions/workflows/build.yml

.. |python| image:: https://img.shields.io/badge/python-3.8+-blue.svg
:target: https://www.python.org/downloads/

.. |Coveralls| image:: https://coveralls.io/repos/github/pyxem/orix/badge.svg?branch=develop
.. _Coveralls: https://coveralls.io/github/pyxem/orix?branch=develop
:target: https://coveralls.io/github/pyxem/orix?branch=develop

.. |docs| image:: https://readthedocs.org/projects/orix/badge/?version=latest
.. _docs: https://orix.readthedocs.io/en/latest
.. |pypi_downloads| image:: https://img.shields.io/pypi/dm/orix.svg?label=PyPI%20downloads
:target: https://pypi.org/project/orix/

.. |pypi_version| image:: https ://img.shields.io/pypi/v/orix.svg?style=flat
.. _pypi_version: https://pypi.python.org/pypi/orix
.. |conda_downloads| image:: https://img.shields.io/conda/dn/conda-forge/orix.svg?label=Conda%20downloads
:target: https://anaconda.org/conda-forge/orix

.. |downloads| image:: https://anaconda.org/conda-forge/orix/badges/downloads.svg
.. _downloads: https://anaconda.org/conda-forge/orix
.. |doi| image:: https://zenodo.org/badge/DOI/10.5281/zenodo.3459662.svg
:target: https://doi.org/10.5281/zenodo.3459662

.. |black| image:: https://img.shields.io/badge/code%20style-black-000000.svg
.. _black: https://github.com/psf/black
.. |GPLv3| image:: https://img.shields.io/github/license/pyxem/orix
:target: https://opensource.org/license/GPL-3.0

.. |doi| image:: https://zenodo.org/badge/DOI/10.5281/zenodo.3459662.svg
.. _doi: https://doi.org/10.5281/zenodo.3459662
.. |GH-discuss| image:: https://img.shields.io/badge/GitHub-Discussions-green?logo=github
:target: https://github.com/pyxem/orix/discussions

orix is an open-source Python library for analysing orientations and crystal symmetry.
.. |binder| image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/pyxem/orix/HEAD

The package defines objects and functions for the analysis of orientations represented
as quaternions or 3D rotation vectors accounting for crystal symmetry. Functionality
builds primarily on `NumPy <https://www.numpy.org>`_ and `Matplotlib
<https://matplotlib.org>`_ and is heavily inspired by the MATLAB package `MTEX
<https://mtex-toolbox.github.io>`_.
.. |docs| image:: https://readthedocs.org/projects/orix/badge/?version=latest
:target: https://orix.readthedocs.io/en/latest

orix is released under the GPL v3 license.
.. |black| image:: https://img.shields.io/badge/code%20style-black-000000.svg
:target: https://github.com/psf/black

+----------------------+------------------------------------------------+
| Deployment | |pypi_version| |conda| |
+----------------------+------------------------------------------------+
| Build status | |build_status| |docs| |python| |
+----------------------+------------------------------------------------+
| Metrics | |Coveralls| |
+----------------------+------------------------------------------------+
| Activity | |pypi_downloads| |conda_downloads| |
+----------------------+------------------------------------------------+
| Citation | |doi| |
+----------------------+------------------------------------------------+
| License | |GPLv3| |
+----------------------+------------------------------------------------+
| Community | |GH-discuss| |
+----------------------+------------------------------------------------+
| Formatter | |black| |
+----------------------+------------------------------------------------+

Documentation
-------------
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conda install orix -c conda-forge

You can also visit `PyPI <https://pypi.org/project/orix>`_, `Anaconda
<https://anaconda.org/conda-forge/orix>`_ or `GitHub <https://github.com/pyxem/orix>`_
to download the source.
The source code is hosted in `GitHub <https://github.com/pyxem/orix>`_, and can also be
downloaded from `PyPI <https://pypi.org/project/orix>`_ and
`Anaconda <https://anaconda.org/conda-forge/orix>`_.

Further details are available in the `installation guide
<https://orix.readthedocs.io/en/latest/user/installation.html>`_.
Further details are available in the
`installation guide <https://orix.readthedocs.io/en/latest/user/installation.html>`_.

Citing orix
-----------

If analysis using orix forms a part of published work please cite the paper (`journal
<https://doi.org/10.1107/S1600576720011103>`_, `arXiv
<https://arxiv.org/abs/2001.02716>`_) and/or `the software
<https://arxiv.org/abs/2001.02716>`_) and `the software
<https://doi.org/10.5281/zenodo.3459662>`_.
7 changes: 4 additions & 3 deletions doc/index.rst
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orix is an open-source Python library for analysing orientations and crystal symmetry.

The package defines objects and functions for the analysis of orientations accounting
for crystal symmetry. Functionality builds primarily on `NumPy <https://www.numpy.org>`_
and `Matplotlib <https://matplotlib.org>`_, and is heavily inspired by the MATLAB
package `MTEX <https://mtex-toolbox.github.io>`_.
for crystal symmetry.
Functionality builds primarily on `NumPy <https://www.numpy.org>`_ and `Matplotlib
<https://matplotlib.org>`_.
Initiation of the package was inspired by `MTEX <https://mtex-toolbox.github.io>`_.

.. toctree::
:hidden:
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