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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 vector layer in memory

Sometimes you need to create a temporary dataset for a quick output, or as an intermediate step in a more complex operation without the overhead of actually writing a file to disk. PyQGIS employs memory layers that allow you to create a complete vector dataset, including the geometry, fields, and attributes, virtually. Once the memory layer is created, you can work with it the same way you would with a vector layer loaded from the disk.

Getting ready

This recipe runs entirely inside the PyQGIS console, so no preparation or outside resources are required.

How to do it...

We will create a point vector layer with a few fields named Layer 1 and then validate it:

  1. Start QGIS.
  2. From the Plugins menu select Python Console.
  3. In the Python console, create a QgsVectorLayer, including fields, and specify it as type memory:
            vectorLyr = QgsVectorLayer('Point?crs=epsg:4326
                                       &field=city:string(25)
                                  ...
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