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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
Languages
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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 2. Querying Vector Data FREE CHAPTER 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

Setting a feature's color using a column in a CSV file


Comma Separated Value (CSV) files are an easy way to store basic geospatial information, but you can also store styling properties alongside the geospatial data for QGIS to use in order to dynamically style the feature data. In this recipe, we'll load some points into QGIS from a CSV file and use one of the columns to determine the color of each point. But note that you can define any property this way.

Getting ready

Download the sample zipped CSV file from the following URL:

https://github.com/GeospatialPython/Learn/raw/master/point_colors.csv.zip

Extract it and place it in your qgis_data directory in a directory named shapes.

How to do it...

We'll load the CSV file into QGIS as a vector layer and create a default point symbol. Then we'll specify the property and the CSV column we want to control. Finally, we'll assign the symbol to the layer and add the layer to the map:

  1. First, create the URI string needed to load the CSV:

            uri ...
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