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        "author": "Matthieu Viry",
        "author_email": "matthieu.viry@cnrs.fr",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering"
        ],
        "description": "smoomapy\n========\n\nMake smoothed maps in your python environnement\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n|Build Status Travis| |Build Status Appveyor| |Version| |Coveralls|\n\nMore or less a python port of *Stewart method* from R SpatialPositon\npackage (https://github.com/Groupe-ElementR/SpatialPosition/).\n\nAllow to set a desired number of class and choose discretization method or\ndirectly set some custom breaks values.\n\nInput/output can be a path to a geographic layer (GeoJSON, shp, etc.) or a GeoDataFrame.\n\nRequires:\n^^^^^^^^^\n\n-  Numpy\n-  GeoPandas\n-  Matplotlib\n\nDocumentation on the method :\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nPlease refer to https://github.com/Groupe-ElementR/SpatialPosition/\ndocumentation.\n\nUsage example:\n~~~~~~~~~~~~~~\n\nOne-shot functionnality\n^^^^^^^^^^^^^^^^^^^^^^^\n\n.. code:: python\n\n    >>> result = quick_stewart('nuts3_data.geojson',\n                               \"pop1999\",\n                               span=65000,\n                               beta=3,\n                               resolution=48000,\n                               mask='nuts3_data.geojson',\n                               nb_class=10,\n                               user_defined_breaks=None,\n                               output=\"geojson\")\n\nObject-oriented API, allowing to easily redraw contours with new breaks values\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n.. code:: python\n\n    >>> StePot = SmoothStewart('nuts3_data.geojson', \"pop1999\",\n                               span=65000, beta=3,\n                               resolution=60000,\n                               mask='nuts3_data.geojson')\n    >>> res = StePot.render(nb_class=8, disc_func=\"jenks\",\n                            output=\"GeoDataFrame\")\n    >>> res.plot(cmap=\"YlOrRd\", linewidth=0.1)\n\n.. figure:: https://raw.githubusercontent.com/mthh/smoomapy/master/misc/export_plot.png\n   :alt: png_example\n\n\nThe long part of the computation is done during the initialization of\n``SmoothStewart`` instance (i.e. actually computing potentials). Some\nconvenience methods allows to tweak and re-export the few last steps :\n\n**Allow to quickly redraw polygons with a new classification method**\n\nAvailables classification\nmethods are: \"equal\\_interval\", \"prog\\_geom\", \"jenks\", \"percentiles\" and\n\"head-tail-breaks\"\n\n.. code:: python\n\n    >>> res = StePot.render(nb_class=6,\n                            disc_func=\"percentiles\",\n                            output=\"GeoDataFrame\")\n\n**Allow to set custom break values (highly recommended after a first\nrendering or having take a look at the distibution):**\n\n.. code:: python\n\n    >>> my_breaks = [0, 1697631, 3395263, 5092894, 6790526,\n                     8488157, 10185789, 11883420, 13581052]\n\n    >>> res = StePot.render(nb_class=6, user_defined_breaks=my_breaks,\n                            output=\"GeoDataFrame\")\n\nInstallation:\n~~~~~~~~~~~~~\n\nFrom PyPI :\n^^^^^^^^^^^\n\n.. code:: shell\n\n    $ pip install smoomapy\n\n\nFrom github :\n^^^^^^^^^^^^^\n\n.. code:: shell\n\n    $ git clone http://github.com/mthh/smoomapy.git\n    $ cd smoomapy/\n    $ python setup.py install\n\n.. |Build Status Travis| image:: https://travis-ci.org/mthh/smoomapy.svg?branch=master\n   :target: https://travis-ci.org/mthh/smoomapy\n\n.. |Build Status Appveyor| image:: https://ci.appveyor.com/api/projects/status/tc7ynr2ejpp8a4c9/branch/master?svg=true\n   :target: https://ci.appveyor.com/project/mthh/smoomapy/branch/master\n\n.. |Version| image:: https://img.shields.io/pypi/v/smoomapy.svg\n   :target: https://pypi.python.org/pypi/smoomapy\n\n.. |Coveralls| image:: https://coveralls.io/repos/github/mthh/smoomapy/badge.svg?branch=master\n   :target: https://coveralls.io/github/mthh/smoomapy?branch=master",
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