January 2018
Beginner to intermediate
548 pages
12h 11m
English
Content preview from IPython Interactive Computing and Visualization Cookbook - Second EditionBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Manipulating geospatial data with Cartopy
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 (http://www.naturalearthdata.com) to display the countries of Africa, color coded with their population and Gross Domestic Product (GDP). This type of graph is called a choropleth map.
Shapefile (https://en.wikipedia.org/wiki/Shapefile) is a popular geospatial vector data format for GIS software. It can be read by Cartopy, a GIS package in Python.
Getting ready
You need Cartopy, available at http://scitools.org.uk/cartopy/. You can install it with conda install -c conda-forge cartopy.
How to do it...
- Let's import the packages:
>>> import io import requests import ...
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