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        "description": "<img src=\"https://arviz-devs.github.io/arviz/_static/logo.png\" height=100></img>\n\n[![Build Status](https://travis-ci.org/arviz-devs/arviz.svg?branch=master)](https://travis-ci.org/arviz-devs/arviz)\n[![Azure Build Status](https://dev.azure.com/ArviZ/ArviZ/_apis/build/status/arviz-devs.arviz?branchName=master)](https://dev.azure.com/ArviZ/ArviZ/_build/latest?definitionId=1&branchName=master)\n[![Coverage Status](https://coveralls.io/repos/github/arviz-devs/arviz/badge.svg?branch=master)](https://coveralls.io/github/arviz-devs/arviz?branch=master)\n[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black)\n[![Gitter chat](https://badges.gitter.im/gitterHQ/gitter.png)](https://gitter.im/arviz-devs/community)\n[![DOI](http://joss.theoj.org/papers/10.21105/joss.01143/status.svg)](https://doi.org/10.21105/joss.01143) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.2540945.svg)](https://doi.org/10.5281/zenodo.2540945)\n\n# ArviZ\n\nArviZ (pronounced \"AR-_vees_\") is a Python package for exploratory analysis of Bayesian models.\nIncludes functions for posterior analysis, model checking, comparison and diagnostics.\n\n## Documentation\n\nThe ArviZ documentation can be found in the [official docs](https://arviz-devs.github.io/arviz/index.html).\nFirst time users may find the [quickstart](https://arviz-devs.github.io/arviz/notebooks/Introduction.html)\nto be helpful. Additional guidance can be found in the\n[usage documentation](https://arviz-devs.github.io/arviz/usage.html).\n\n\n## Installation\n\n### Stable\nArviZ is available for installation from [PyPI](https://pypi.org/project/arviz/).\nThe latest stable version can be installed using pip:\n\n```\npip install arviz\n```\n\nArviZ is also available through [conda-forge](https://anaconda.org/conda-forge/arviz).\n\n```\nconda install -c conda-forge arviz\n```\n\n### Development\nThe latest development version can be installed from the master branch using pip:\n\n```\npip install git+git://github.com/arviz-devs/arviz.git\n```\n\nAnother option is to clone the repository and install using git and setuptools:\n\n```\ngit clone https://github.com/arviz-devs/arviz.git\ncd arviz\npython setup.py install\n```\n\n-------------------------------------------------------------------------------\n## [Gallery](https://arviz-devs.github.io/arviz/examples/index.html)\n\n<p>\n<table>\n<tr>\n\n  <td>\n  <a href=\"https://arviz-devs.github.io/arviz/examples/plot_forest_ridge.html\">\n  <img alt=\"Ridge plot\"\n  src=\"https://arviz-devs.github.io/arviz/_static/plot_forest_ridge_thumb.png\" />\n  </a>\n  </td>\n\n  <td>\n  <a href=\"https://arviz-devs.github.io/arviz/examples/plot_parallel.html\">\n  <img alt=\"Parallel plot\"\n  src=\"https://arviz-devs.github.io/arviz/_static/plot_parallel_thumb.png\" />\n  </a>\n  </td>\n\n  <td>\n  <a href=\"https://arviz-devs.github.io/arviz/examples/plot_trace.html\">\n  <img alt=\"Trace plot\"\n  src=\"https://arviz-devs.github.io/arviz/_static/plot_trace_thumb.png\" />\n  </a>\n  </td>\n\n  <td>\n  <a href=\"https://arviz-devs.github.io/arviz/examples/plot_density.html\">\n  <img alt=\"Density plot\"\n  src=\"https://arviz-devs.github.io/arviz/_static/plot_density_thumb.png\" />\n  </a>\n  </td>\n\n  </tr>\n  <tr>\n\n  <td>\n  <a href=\"https://arviz-devs.github.io/arviz/examples/plot_posterior.html\">\n  <img alt=\"Posterior plot\"\n  src=\"https://arviz-devs.github.io/arviz/_static/plot_posterior_thumb.png\" />\n  </a>\n  </td>\n\n  <td>\n  <a href=\"https://arviz-devs.github.io/arviz/examples/plot_joint.html\">\n  <img alt=\"Joint plot\"\n  src=\"https://arviz-devs.github.io/arviz/_static/plot_joint_thumb.png\" />\n  </a>\n  </td>\n\n  <td>\n  <a href=\"https://arviz-devs.github.io/arviz/examples/plot_ppc.html\">\n  <img alt=\"Posterior predictive plot\"\n  src=\"https://arviz-devs.github.io/arviz/_static/plot_ppc_thumb.png\" />\n  </a>\n  </td>\n\n  <td>\n  <a href=\"https://arviz-devs.github.io/arviz/examples/plot_pair.html\">\n  <img alt=\"Pair plot\"\n  src=\"https://arviz-devs.github.io/arviz/_static/plot_pair_thumb.png\" />\n  </a>\n  </td>\n\n  </tr>\n  <tr>\n\n  <td>\n  <a href=\"https://arviz-devs.github.io/arviz/examples/plot_energy.html\">\n  <img alt=\"Energy Plot\"\n  src=\"https://arviz-devs.github.io/arviz/_static/plot_energy_thumb.png\" />\n  </a>\n  </td>\n\n  <td>\n  <a href=\"https://arviz-devs.github.io/arviz/examples/plot_violin.html\">\n  <img alt=\"Violin Plot\"\n  src=\"https://arviz-devs.github.io/arviz/_static/plot_violin_thumb.png\" />\n  </a>\n  </td>\n\n  <td>\n  <a href=\"https://arviz-devs.github.io/arviz/examples/plot_forest.html\">\n  <img alt=\"Forest Plot\"\n  src=\"https://arviz-devs.github.io/arviz/_static/plot_forest_thumb.png\" />\n  </a>\n  </td>\n\n  <td>\n  <a href=\"https://arviz-devs.github.io/arviz/examples/plot_autocorr.html\">\n  <img alt=\"Autocorrelation Plot\"\n  src=\"https://arviz-devs.github.io/arviz/_static/plot_autocorr_thumb.png\" />\n  </a>\n  </td>\n\n</tr>\n</table>\n\n## Dependencies\n\nArviZ is tested on Python 3.5, 3.6 and 3.7, and depends on NumPy, SciPy, xarray, and Matplotlib.\n\n\n## Citation\n\n\nIf you use ArviZ and want to cite it please use [![DOI](http://joss.theoj.org/papers/10.21105/joss.01143/status.svg)](https://doi.org/10.21105/joss.01143)\n\nHere is the citation in BibTeX format\n\n```\n@article{arviz_2019,\n\ttitle = {{ArviZ} a unified library for exploratory analysis of {Bayesian} models in {Python}},\n\tauthor = {Kumar, Ravin and Colin, Carroll and Hartikainen, Ari and Martin, Osvaldo A.},\n\tjournal = {The Journal of Open Source Software},\n\tyear = {2019},\n\tdoi = {10.21105/joss.01143},\n\turl = {http://joss.theoj.org/papers/10.21105/joss.01143},\n}\n```\n\n\n## Contributions\nArviZ is a community project and welcomes contributions.\nAdditional information can be found in the [Contributing Readme](https://github.com/arviz-devs/arviz/blob/master/CONTRIBUTING.md)\n\n\n## Code of Conduct\nArviZ wishes to maintain a positive community. Additional details\ncan be found in the [Code of Conduct](https://github.com/arviz-devs/arviz/blob/master/CODE_OF_CONDUCT.md)\n\n## Sponsors\n[![NumFOCUS](https://i0.wp.com/numfocus.org/wp-content/uploads/2019/06/AffiliatedProject.png)](https://numfocus.org)\n\n\n",
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