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        "author": "Dani Arribas-Bel, Levi John Wolf",
        "author_email": "daniel.arribas.bel@gmail.com, levi.john.wolf@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: BSD License",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: Implementation :: CPython"
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        "description": "Legendgrams\n========================\n\nThis is a small bit of unittested, reproducible code to provide legendgrams.\nLegendgrams are map legends that visualize the distribution of observations by color in a given map:\n\n.. image:: https://raw.githubusercontent.com/pysal/legendgram/master/figs/brooklyn.png\n        :width: 40%\n        :height: 200px\n        :scale: 50%\n        :alt: Silhouettes in Brooklyn\n\nLegendgrams are distributed by PySAL, an open source cross-platform library of spatial analysis functions\nwritten in Python. It is intended to support the development of high level\napplications for spatial analysis.\n\nTo use legendgrams, simply install the package using pip:\n\n.. code-block:: bash\n\n    $ pip install legendgram\n\nThen, apply the function to the figure/axis you want to have a legendgram:\n\n.. code-block:: python\n\n    >>> import pysal as ps, geopandas as gpd, matplotlib.pyplot as plt\n    >>> from legendgram import legendgram\n    >>> data = gpd.read_file(ps.examples.get_path('south.shp'))\n    >>> data.crs = {'init': 'epgs:4269'}\n    >>> data.to_crs(epsg=5070)\n    >>> f,ax = plt.subplots()\n    >>> data.plot('DV80', k=10, ax=ax, scheme='Quantiles')\n    >>> bins = ps.Quantiles(data['DV80'].values, k=10).bins\n    >>> from legendgram import legendgram\n    >>> import palettable.matplotlib as palmpl\n    >>> legendgram(f,ax,data['DV80'],bins,pal=palmpl.Viridis_10,\n                   legend_size=(.5,.2), # legend size in fractions of the axis\n                   loc = 'upper left' # matplotlib-style legend locations\n                   clip = (2,10) # clip the displayed range of the histogram\n                   )\n\n.. image:: https://raw.githubusercontent.com/pysal/legendgram/master/figs/example.png\n        :width: 100%\n        :alt: Example legendgram map in the US south\n\nAn example notebook is provided_ as well.\n\n.. _provided: https://github.com/pysal/legendgram/blob/master/examples/examples.ipynb\n\nLicense\n-------\n\nThis is licensed under the 3-Clause BSD license. \nRefer to the license file for more details. \n\n\n",
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        "license": "MIT",
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        "name": "legendgram",
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        "summary": "Legendgrams are map legends that visualize the distribution of observations by color in a given map",
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