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        "author": "Levi John Wolf",
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        "description": "**W**es **A**nderson **M**at**P**lot**L**ib Palettes\n====================================================================\naka `wes`\n----------\n\n[![Build Status](https://travis-ci.org/ljwolf/wampl.svg?branch=master)](https://travis-ci.org/ljwolf/wampl)\n\nThis is another [Wes Anderson Palettes](http://wesandersonpalettes.tumblr.com/)\nimplementation. Currnetly, if you set your default pallete, it just modifies the\ndefault color cycle to the one provided by the blog. I don't make any\nclassification or useage inferences, unlike jiffyclub's fantastic \n[palettable](https://github.com/jiffyclub/palettable). \n\nCheck out the [demo notebook](http://nbviewer.ipython.org/github/ljwolf/wampl/blob/master/demo.ipynb) for more information.\n\nUsage\n-----\n\nIt's about as easy as:\n```\nimport wes\nwes.set_palette('Rushmore')\n```\nand then your future plots will use the `Rushmore` palette. If you'd like to\nreset your palette, use \n\n```\nimport matplotlib\nmatplotlib.rcdefaults()\n```\nOtherwise, you can show all palettes available using `wes.available()` and can\nplot two palettes against each other using `wes.plot_palettes(*args)`. \n\nYou can also use this with\n[seaborn](http://stanford.edu/~mwaskom/software/seaborn/). Just remember to set\nyour palette **after** importing seaborn, as seaborn overwrites matplotlib's\n[`rcdefaults`](http://matplotlib.org/users/customizing.html)\n\nLicense\n--------\n\nThis is licensed in the Creative Commons for Attribution and ShareAlike\npurposes. \nCC-BY-SA\n",
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