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    "info": {
        "author": "Tony Z",
        "author_email": "tonykzeng@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.2",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Topic :: Scientific/Engineering :: Visualization"
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        "description": "=======\nplotly:\n=======\n--------------------------\nIt's all about the graphs.\n--------------------------\n\nThe Nutshell\n~~~~~~~~~~~~\n\nUse this package to make collaborative, interactive,\npublication-quality graphs from Python.\n\nHere's how you import::\n\n    import plotly.plotly as py              # for sending things to plotly\n    import plotly.tools as tls              # for mpl, config, etc.\n    from plotly.graph_objs import *         # __all__ is safely defined\n\nHere's how you sign in::\n\n    py.sign_in('PythonAPI', 'ubpiol2cve')   # get your own at https://plot.ly/\n\nHere's how you plot data or a figure::\n\n    py.plot(data_or_figure_here)\n\nHere's what you get:\n\n* an account on plotly\n* a unique url for your data/figures\n* an interactive web-application to edit your figure or make new figures\n* a platform on which to share your data/figures with the world\n\nYou can also convert supported matplotlib figures::\n\n    py.plot_mpl(mplfig)\n\nStop fighting with your figures; start designing them. Check out our\nQuickstart_ to get going.\n\n\nAbout\n~~~~~\n\nPlotly_ is an online collaborative data analysis and graphing tool. The\nPython API allows you to access all of Plotly's functionality from Python.\nPlotly figures are shared, tracked, and edited all online and the data is\nalways accessible from the graph.\n\nThat's it. Find out more, sign up, and start sharing by visiting us at\nhttps://plot.ly.\n\nInstall via pip\n~~~~~~~~~~~~~~~\n\nAssuming you have already installed pip, you can simply enter the following\nin a terminal program::\n\n    $ pip install plotly\n\nContributing!\n~~~~~~~~~~~~~\n\nIf you want to contribute to making Plotly's Python API experience better,\nhead to our `GitHub repo`_. Instructions for installing from here,\nupdating the included submodules, and contributing are detailed there!\n\nPlotly, matplotlib, and mpld3\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nThe matplotlylib sub-package allows you to convert matplotlib figures to\nplotly figures, with a one-liner::\n\n    py.plot_mpl(fig)\n\nCheckout the `Plotly and mpld3`_ IPython notebook for more infomataion.\n\nIntroduction to working with out API\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nCheckout the `Plotly and Python`_ IPython notebook to get a more in depth\nexposition of our Python API.\n\nPlotly's *guide book*\n~~~~~~~~~~~~~~~~~~~~~\n\nStill here? Don't worry, we've got more documentation for you. Checkout a\n*highly* complete `set of notebooks`_ for walk-throughs on all the features\nwe offer!\n\nDetails\n~~~~~~~\n\nThe plotly package depends on requests, which will be installed by pip for you.\n\nTo use the matplotlylib subpackage, you'll also need to have matplotlib 1.3.1\nproperly installed on your machine.\n\nThe matpotlylib package is based on the mplexporter framework for crawling\nand exporting matplotlib images.\n\nCreated by: Plotly_, `@plotlygraphs`_, `feedback@plot.ly`_\n\nLicense: MIT\n\n.. _Plotly: https://plot.ly\n.. _Quickstart: https://plot.ly/python\n.. _GitHub repo: https://github.com/plotly/python-api\n.. _Plotly and mpld3: https://plot.ly/python/matplotlib-to-plotly-tutorial/\n.. _Plotly and Python: https://plot.ly/python/overview/\n.. _set of notebooks: https://plot.ly/python/user-guide/\n.. _plotly profile: https://plot.ly/~mpld3/\n.. _@plotlygraphs: https://twitter.com/plotlygraphs\n.. _feedback@plot.ly: feedback@plot.ly",
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