{ "info": { "author": "Mike Williamson", "author_email": "mwilliamson@pacific.edu", "bugtrack_url": null, "classifiers": [ "Development Status :: 2 - Pre-Alpha", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Programming Language :: Python :: 3.5", "Topic :: Scientific/Engineering :: Visualization" ], "description": "\n# color_tol: Colour maps for analysis\n\nThis Python package is meant to complement the wonderful work by [Cynthia Brewer](http://colorbrewer2.org/), using the work of [Paul Tol](https://personal.sron.nl/~pault/), where he introduced a very rigorous set of colors that were clearly identifyable for those with or without color-blindness. [His work](https://personal.sron.nl/~pault/colourschemes.pdf) can also be found under the `docs` folder of this package.\n\n-----\n\n## Use\n\nThree different color maps - qualitative, sequential, and diverging - are available, either in RGB or HTML codes.\n\nTo access any of them, you call the functions\n\n`qualitative()`\n\n`sequential()`\n\n`diverging()`\n\nwhere the `` represents the number of colors you wish.\n\nE.g.,\n\n >>> my_map = qualitative(7)\n >>> my_map.html_colors\n ['#332288', '#88CCEE', '#44AA99', '#117733', '#DDCC77', '#CC6677', '#AA4499']\n\n >>> my_map.rgb_colors\n [(51, 34, 136), (136, 204, 238), (68, 170, 153), (17, 119, 51), (221, 204, 119), (204, 102, 119), (170, 68, 153)]\n\n\n\n\n", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/lazarillo/color_tol", "keywords": "visualization seaborn matplotib", "license": "MIT", "maintainer": "", 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