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QGIS Python Programming Cookbook

You're reading from   QGIS Python Programming Cookbook Over 140 recipes to help you turn QGIS from a desktop GIS tool into a powerful automated geospatial framework

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Product type Paperback
Published in Mar 2015
Publisher
ISBN-13 9781783984985
Length 340 pages
Edition 1st 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 (11) 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 Index

Joining a shapefile attribute table to a CSV file


Joining attribute tables to other database tables allows you to use a spatial dataset in order 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. The use case we will demonstrate here links a US census track file to a detailed CSV file that contains 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 data set from https://geospatialpython.googlecode.com/svn/census.zip.

Extract this 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 the new layer and compare the field count to the original...

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