Metadata-Version: 2.1
Name: orix
Version: 0.3.0
Summary: Orientation, rotation, quaternion, and crystal symmetry handling in Python.
Home-page: UNKNOWN
Author: Ben Martineau, Phillip Crout, Håkon Wiik Ånes, Duncan Johnstone
Author-email: pyxem.team@gmail.com
License: GPLv3
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Physics
Requires-Dist: diffpy.structure (>=3)
Requires-Dist: h5py
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: tqdm

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.. |Travis| image:: https://travis-ci.org/pyxem/orix.svg?branch=master
.. _Travis: https://travis-ci.org/pyxem/orix

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

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

.. |downloads| image:: https://anaconda.org/conda-forge/orix/badges/downloads.svg
.. _downloads: https://anaconda.org/conda-forge/orix

.. |black| image:: https://img.shields.io/badge/code%20style-black-000000.svg
.. _black: https://github.com/psf/black

.. |doi| image:: https://zenodo.org/badge/DOI/10.5281/zenodo.3459662.svg
.. _doi: https://doi.org/10.5281/zenodo.3459662

orix is an open-source python library for analysing orientations and crystal symmetry.

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 top of `numpy <http://www.numpy.org/>`__ and
`matplotlib <https://matplotlib.org/>`__ and is heavily inspired by the `MATLAB <https://www.mathworks.com/products/matlab.html>`__ package `MTEX <http://mtex-toolbox.github.io/>`__.

If analysis using orix forms a part of published work please cite the associated preprint, which can be found `here <https://arxiv.org/abs/2001.02716>`_. You can also find demos in the `orix-demos <https://github.com/pyxem/orix-demos>`_ repo.

orix is released under the GPL v3 license.



