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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
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 (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

Creating a categorized vector layer symbol


A categorized vector layer symbol allows you to create distinct categories with colors and labels for unique features. This approach is typically used for datasets with a limited number of unique types of features. In this recipe, we'll categorize a vector layer into three different categories.

Getting ready

For this recipe, we'll use a land use shapefile, which you can download from https://geospatialpython.googlecode.com/svn/landuse_shp.zip.

Extract it to a directory named hancock in your qgis_data directory.

How to do it...

We will load the vector layer, create three categories of land use, and render them as categorized symbols. To do this, we need to perform the following steps:

  1. First, we need to import the QColor object for our category colors:

    from PyQt4.QtGui import QColor
    
  2. Then, we load the vector layer:

    lyr = QgsVectorLayer("Users/joellawhead/qgis_data/hancock/landuse.shp", "Land Use", "ogr")
    
  3. Next, we'll create our three land use categories using...

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