August 2016
Beginner to intermediate
334 pages
8h 27m
English
Content preview from Mastering Predictive Analytics with PythonBecome 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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Working with geospatial data
For our last case study, let us explore the analysis of geospatial data using an extension to the Pandas library, GeoPandas. You will need to have GeoPandas installed in your IPython environment to follow this example. If it is not already installed, you can add it using easy_install or pip.
Loading geospatial data
In addition to our other dependencies, we will import the GeoPandas library using the command:
>>> import GeoPandas as geo.
We load dataset for this example, the coordinates of countries in Africa ("Africa." Maplibrary.org. Web. 02 May 2016. http://www.mapmakerdata.co.uk.s3-website-eu-west-1.amazonaws.com/library/stacks/Africa/) which are contained in a shape (.shp) file as before into a GeoDataFrame, an extension ...
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