.. geoplot documentation master file, created by sphinx-quickstart on Mon Dec 5 22:22:01 2016. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. Geoplot: geospatial data visualization ====================================== .. raw:: html
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About ``geoplot`` is a high-level Python geospatial plotting library. It's an extension to ``cartopy`` and ``matplotlib`` which makes mapping easy: like ``seaborn`` for geospatial. It comes with the following features: * **High-level plotting API**: ``geoplot`` is cartographic plotting for the 90% of use cases. All of the standard-bearermaps that you’ve probably seen in your geography textbook are easily accessible. * **Native projection support**: The most fundamental peculiarity of geospatial plotting is projection: how do you unroll a sphere onto a flat surface (a map) in an accurate way? The answer depends on what you’re trying to depict. ``geoplot`` provides these options. * **Compatibility with matplotlib**: While ``matplotlib`` is not a good fit for working with geospatial data directly, it’s a format that’s well-incorporated by other tools. * **Built with modern geospatial Python in mind**: Innovations in recent years have made working with geospatial data easier than ever, which geoplot leverages with an easy-to-use and widely compatible API. Browse the `Gallery <./gallery.html>`_ to see what ``geoplot`` can do, then jump into the `Quickstart `_ or the `API Reference <./api.html>`_ to see how to do it. For help installing, check out `Installation <./installing.html>`_. .. raw:: html
Documentation .. toctree:: :maxdepth: 1 installing gallery api tutorials .. raw:: html
.. Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search`