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        "description": "Chartify\n========\n\n|status|  |release|  |python|\n\n.. |status| image:: https://img.shields.io/badge/Status-Beta-blue.svg\n.. |release| image:: https://img.shields.io/badge/Release-2.6.1-blue.svg\n.. |python| image:: https://img.shields.io/badge/Python-3.6-blue.svg\n\nChartify is a Python library that makes it easy for data scientists to create charts.\n\nWhy use Chartify?\n-----------------\n\n- Consistent input data format: Spend less time transforming data to get your charts to work. 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Chartify can be installed via pip:\n\n``pip3 install chartify``\n\n2. Install chromedriver requirement (Optional. Needed for PNG output):\n    - Install google chrome.\n    - Download the appropriate version of chromedriver for your OS `here <https://sites.google.com/a/chromium.org/chromedriver/downloads>`_.\n    - Copy the executable file to a directory within your PATH.\n\t- View directorys in your PATH variable: ``echo $PATH``\n\t- Copy chromedriver to the appropriate directory, e.g.: ``cp chromedriver /usr/local/bin``\n\nGetting started\n---------------\n\nThis `tutorial notebook <https://github.com/spotify/chartify/blob/master/examples/Chartify%20Tutorial.ipynb>`_ is the best place to get started with a guided tour of the core concepts of Chartify.\n\nFrom there, check out the `example notebook <https://github.com/spotify/chartify/blob/master/examples/Examples.ipynb>`_ for a list of all the available plots.\n\nGetting support\n---------------\n\nJoin #chartify on spotify-foss.slack.com (`Get an invite <https://slackin.spotify.com/>`_)\n\nUse the `chartify tag on StackOverflow <https://stackoverflow.com/questions/tagged/chartify>`_.\n\nCode of Conduct\n---------------\n\nThis project adheres to the `Open Code of Conduct <https://github.com/spotify/code-of-conduct/blob/master/code-of-conduct.md>`_. By participating, you are expected to honor this code.\n\nContributing\n------------\n\n`See the contributing docs <CONTRIBUTING.rst>`_.\n\n\n=======\nHistory\n=======\n\n2.6.1 (2019-08-15)\n------------------\n\nBugfixes:\n\n* Moved package requirements and fixed bug that occured with\n  latest version of Bokeh (Thanks @emschuch & @mollymzhu!)\n* Fixed bug in README while generating docs (Thanks @Bharat123rox!)\n\n2.6.0 (2019-03-08)\n------------------\n\nImprovements:\n\n* Allows users to plot colors on bar charts that aren't contained in the\n  categorical axis.\n\n\nBugfixes:\n\n* Fixed bug that caused float types to break when plotted with categorical\n  text plots (Thanks for finding @danela!)\n* Fixed broken readme links.\n\n2.5.0 (2019-02-17)\n------------------\n\nImprovements:\n\n* Added Radar Chart\n\n2.4.0 (2019-02-16)\n------------------\n\nImprovements:\n\n* Added second Y axis plotting.\n* Removed Bokeh loading notification on import (Thanks @canavandl!)\n* Added support for custom Bokeh resource loading (Thanks @canavandl!)\n* Added example for Chart.save() method (Thanks @david30907d!)\n\nBugfixes:\n\n* Updated documentation for saving and showing svgs.\n* Fixed bug that broke plots with no difference between min and max\n  points. 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