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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 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

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://github.com/GeospatialPython/Learn/raw/master/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...
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