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IPython Interactive Computing and Visualization Cookbook
book

IPython Interactive Computing and Visualization Cookbook

by Cyrille Rossant
September 2014
Intermediate to advanced
512 pages
12h 39m
English
Packt Publishing
Content preview from IPython Interactive Computing and Visualization Cookbook

Manipulating geospatial data with Shapely and basemap

In this recipe, we will show how to load and display geographical data in the Shapefile format. Specifically, we will use data from Natural Earth (www.naturalearthdata.com) to display the countries of Africa, color coded with their population and Gross Domestic Product (GDP).

Shapefile (http://en.wikipedia.org/wiki/Shapefile) is a popular geospatial vector data format for GIS software. It can be read by Fiona, a Python wrapper to GDAL/OGR (a C++ library supporting GIS file formats). We will also use Shapely, a Python package used to handle two-dimensional geometrical shapes, and descartes, used to render Shapely shapes in matplotlib. Finally, we will use basemap to plot maps.

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Publisher Resources

ISBN: 9781783284818