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        "author": "Vyas Ramasubramani",
        "author_email": "vramasub@umich.edu",
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        "classifiers": [
            "Development Status :: 3 - Alpha",
            "License :: OSI Approved :: BSD License",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Scientific/Engineering :: Mathematics"
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        "description": "# rowan\n\n[![ReadTheDocs Status](https://readthedocs.org/projects/rowan/badge/?version=latest)](http://rowan.readthedocs.io/en/latest/?badge=latest)\n[![CircleCI](https://circleci.com/gh/glotzerlab/rowan.svg?style=svg)](https://circleci.com/gh/glotzerlab/rowan)\n[![Codecov](https://codecov.io/gh/glotzerlab/rowan/branch/master/graph/badge.svg)](https://codecov.io/gh/glotzerlab/rowan)\n[![PyPI](https://img.shields.io/pypi/v/rowan.svg)](https://pypi.org/project/rowan/)\n[![Codacy Badge](https://api.codacy.com/project/badge/Grade/2ff6c23cb9be4f77827428a87e0e9cfc)](https://www.codacy.com/app/vramasub/rowan?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=glotzerlab/rowan&amp;utm_campaign=Badge_Grade)\n[![Zenodo](https://zenodo.org/badge/DOI/10.5281/zenodo.1323676.svg)](https://doi.org/10.5281/zenodo.1323676)\n[![JOSS](http://joss.theoj.org/papers/10.21105/joss.00787/status.svg)](https://doi.org/10.21105/joss.00787)\n\nWelcome to rowan, a python package for quaternions.\nThe package is built entirely on top of NumPy and represents quaternions using NumPy arrays, meaning that all functions support arbitrarily high-dimensional arrays of quaternions.\nQuaternions are encoded as arrays of shape `(...,4)`, with the convention that the final dimension of an array `(a, b, c, d)` represents the quaternion `a + bi + cj + dk`.\nThe package covers all basic quaternion algebraic and calculus operations, and also provides features for measuring distances, performing point cloud mapping, and interpolating.\nIf you have any questions about how to work with rowan, please visit the\n[ReadTheDocs page](http://rowan.readthedocs.io/en/latest/).\n\n## Authors\n\n*   Vyas Ramasubramani <mailto:vramasub@umich.edu> (Lead developer)\n\n## Setup\n\nThe recommended methods for installing rowan are using **pip** or **conda**.\n\n### Installation via pip\n\nTo install the package from PyPI, execute:\n```bash\npip install rowan --user\n```\n\n### Installation via conda\n\nTo install the package from conda, first add the **conda-forge** channel:\n```bash\nconda config --add channels conda-forge\n```\n\nAfter the **conda-forge** channel has been added, you can install rowan by\nexecuting\n```bash\nconda install rowan\n```\n\n### Installation from source\n\nTo install from source, execute:\n```bash\ngit clone https://github.com/glotzerlab/rowan.git\ncd rowan\npython setup.py install --user\n```\n\n### Requirements\n\n*   Python = 2.7, >= 3.3\n*   NumPy >= 1.10\n\n## Testing\n\nThe package is currently tested for Python versions 2.7 and Python >= 3.3 on Unix-like systems.\nContinuous integrated testing is performed using CircleCI on these Python versions with NumPy versions 1.10 and above.\n\nTo run the packaged unit tests, execute the following line from the root of the repository:\n\n```bash\npython -m unittest discover tests\n```\n\nTo check test coverage, make sure the coverage module is installed:\n\n```bash\npip install coverage\n```\n\nand then run the packaged unit tests with the coverage module:\n\n```bash\ncoverage run -m unittest discover tests\n```\n\n## Quickstart\nThis library can be used to work with quaternions by simply instantiating the appropriate NumPy arrays and passing them to the required functions.\nFor example:\n\n```python\nimport rowan\nimport numpy as np\none = np.array([10, 0, 0, 0])\none_unit = rowan.normalize(one)\nassert(np.all(one_unit == np.array([1, 0, 0, 0])))\nif not np.all(one_unit == rowan.multiply(one_unit, one_unit)):\n    raise RuntimeError(\"Multiplication failed!\")\n\none_vec = np.array([1, 0, 0])\nrotated_vector = rowan.rotate(one_unit, one_vec)\n\nmat = np.eye(3)\nquat_rotate = rowan.from_matrix(mat)\nalpha, beta, gamma = rowan.to_euler(quat_rotate)\nquat_rotate_returned = rowan.from_euler(alpha, beta, gamma)\nidentity = rowan.to_matrix(quat_rotate_returned)\n```\n\n## Documentation\nDocumentation for rowan is written in [reStructuredText](http://docutils.sourceforge.net/rst.html) and compiled using [Sphinx](http://www.sphinx-doc.org/en/master/).\nTo build the documentation, first install Sphinx:\n\n```bash\npip install sphinx sphinx_rtd_theme\n```\n\nYou can then use Sphinx to create the actual documentation in either PDF or HTML form by running the following commands in the rowan root directory:\n\n```bash\ncd doc\nmake html # For html output\nmake latexpdf # For a LaTeX compiled PDF file\nopen build/html/index.html\n```\n\n\n",
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