{ "info": { "author": "Paul Miles", "author_email": "prmiles@ncsu.edu", "bugtrack_url": null, "classifiers": [ "Framework :: IPython", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Operating System :: MacOS :: MacOS X", "Operating System :: POSIX :: Linux", "Programming Language :: Python :: 3.6", "Topic :: Scientific/Engineering" ], "description": "mcmcplot\n========\n\n|docs| |build| |coverage| |license| |zenodo| |pypi| |pyversion|\n\nThe `mcmcplot `_ package is designed to assist in the analysis of sampling chains gathered during a Markov Chain Monte Carlo (MCMC) simulation. This package was designed with the MCMC code `pymcmcstat `_ in mind; however, the plotting routines are amenable to other data sets. The plotting routines use `matplotlib `_ and `seaborn `_. User's are recommended to investigate other plotting routines available in `seaborn `_ as it is specifically designed for this sort of analysis. The routines available in `mcmcplot `_ serve as a useful wrapper function for several `seaborn `_ plots, but it is not an exhaustive demonstration.\n\nInstallation\n============\n\nThis code can be found on the `Github project page `_. The package is available on the PyPI distribution site and the latest version can be installed via\n::\n\n pip install mcmcplot\n\nThe master branch typically matches the latest version on the PyPI distribution site. To install the master branch directly from Github,\n::\n\n pip install git+https://github.com/prmiles/mcmcplot.git\n\nYou can also clone the repository and run ``python setup.py install``.\n\nGetting Started\n===============\n\n- `Tutorial notebooks `_\n- `Documentation `_\n- `Release history `_\n\nLicense\n=======\n\n`MIT `_\n\nContributors\n============\n\nSee the `GitHub contributor\npage `_\n\nCiting mcmcplot\n===============\n\nPlease see the `mcmcplot homepage `_ or follow the DOI badge above to find the appropriate citation information.\n\nFeedback\n========\n\n- `Feature Request `_\n- `Bug Report `_\n\nSponsor\n=======\nThis work was sponsored in part by the NNSA Office of Defense Nuclear Nonproliferation R&D through the Consortium for Nonproliferation Enabling Capabilities.\n\n|cnec|\n\n.. |docs| image:: https://readthedocs.org/projects/mcmcplot/badge/?version=latest\n :target: https://mcmcplot.readthedocs.io/en/latest/?badge=latest\n\n.. |build| image:: https://travis-ci.org/prmiles/mcmcplot.svg?branch=master\n :target: https://travis-ci.org/prmiles/mcmcplot\n\n.. |license| image:: https://img.shields.io/badge/License-MIT-yellow.svg\n :target: https://github.com/prmiles/mcmcplot/blob/master/LICENSE.txt\n\n.. |coverage| image:: https://coveralls.io/repos/github/prmiles/mcmcplot/badge.svg?branch=master\n :target: https://coveralls.io/github/prmiles/mcmcplot?branch=master\n\n.. |zenodo| image:: https://zenodo.org/badge/DOI/10.5281/zenodo.1341090.svg\n :target: https://doi.org/10.5281/zenodo.1341090\n\n.. |pypi| image:: https://img.shields.io/pypi/v/mcmcplot.svg\n :target: https://pypi.org/project/mcmcplot/\n\n.. |pyversion| image:: https://img.shields.io/pypi/pyversions/mcmcplot.svg\n :target: https://pypi.org/project/mcmcplot/\n\n.. |cnec| image:: https://raw.githubusercontent.com/prmiles/mcmcplot/master/doc/cnec-logo.png\n :target: https://cnec.ncsu.edu/\n\n\n", "description_content_type": "text/x-rst", "docs_url": null, 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