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QGIS Python Programming Cookbook, Second Edition

You're reading from   QGIS Python Programming Cookbook, Second Edition Automating geospatial development

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781787124837
Length 464 pages
Edition 2nd Edition
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Author (1):
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Joel Lawhead Joel Lawhead
Author Profile Icon Joel Lawhead
Joel Lawhead
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Table of Contents (10) Chapters Close

Preface 1. Automating QGIS FREE CHAPTER 2. Querying Vector Data 3. Editing Vector Data 4. Using Raster Data 5. Creating Dynamic Maps 6. Composing Static Maps 7. Interacting with the User 8. QGIS Workflows 9. Other Tips and Tricks

Joining a shapefile attribute table to a CSV file


Joining attribute tables to other database tables allows you to use a spatial data set to reference a dataset without any geometry, using a common key between the data tables. A very common use case for this is to join a vector dataset of census attributes to a more detailed census attribute dataset. That is the use case we will demonstrate here by linking a US census track file to a detailed Comma Separated Value (CSV) file containing more in-depth information.

Getting ready

For this recipe you will need a census tract shapefile and a CSV file containing the appropriate census data for the shapefile. You can download the sample dataset from the following URL:

https://github.com/GeospatialPython/Learn/raw/master/census.zip

Extract the data to a directory named /qgis_data/census.

How to do it...

The join operation is quite involved. We'll perform this operation and save the layer as a new shapefile with the joined attributes. Then, we'll load...

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