{ "info": { "author": "Christopher Kittel", "author_email": "web@christopherkittel.eu", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "License :: OSI Approved :: MIT License" ], "description": "# visualizations\n\nCreate and publish interactive visualizations of ContentMine-facts.\n\n## Installation and Requirements\n\nThe easiest entry is by using [Anaconda](https://www.continuum.io/downloads) with Python 3, and creating a new virtualenvironment.\n\n```\nconda create -n contentmine3 python=3.4 anaconda\n```\n\nAfter that activate the virtual environment and install the packages with pip:\n\n```\nsource activate contentmine3\npip install pandas bokeh jupyter pycproject matplotlib scipy\n```\n\n* Python3\n * [pandas](http://pandas.pydata.org/)\n * [bokeh](http://bokeh.pydata.org/en/latest/)\n * [jupyter](http://jupyter.org/)\n * [pycproject](https://github.com/ContentMine/pyCProject/)\n * matplotlib\n * scipy\n\n## Running a visualization\n\n* Change path to input-data\n* change working directory to repo\n* start application with `bokeh serve --show APPNAME`", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "http://packages.python.org/cmvisualizations", "keywords": "example documentation tutorial", "license": "MIT", "maintainer": null, "maintainer_email": null, "name": "cmvisualizations", "package_url": "https://pypi.org/project/cmvisualizations/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/cmvisualizations/", "project_urls": { "Download": "UNKNOWN", "Homepage": "http://packages.python.org/cmvisualizations" }, "release_url": "https://pypi.org/project/cmvisualizations/0.0.2.dev0/", "requires_dist": null, "requires_python": null, "summary": "Visualizing ContentMine facts.", "version": "0.0.2.dev0" }, "last_serial": 2274458, "releases": { "0.0.2.dev0": [] }, "urls": [] }