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Mastering  QGIS

You're reading from   Mastering QGIS Go beyond the basics and unleash the full power of QGIS with practical, step-by-step examples

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Product type Paperback
Published in Sep 2016
Publisher Packt
ISBN-13 9781786460370
Length 486 pages
Edition 2nd Edition
Tools
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Authors (5):
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John Van Hoesen, GISP John Van Hoesen, GISP
Author Profile Icon John Van Hoesen, GISP
John Van Hoesen, GISP
Kurt Menke, GISP Kurt Menke, GISP
Author Profile Icon Kurt Menke, GISP
Kurt Menke, GISP
Paolo Corti Paolo Corti
Author Profile Icon Paolo Corti
Paolo Corti
Richard Smith Jr., GISP Richard Smith Jr., GISP
Author Profile Icon Richard Smith Jr., GISP
Richard Smith Jr., GISP
Luigi Pirelli Luigi Pirelli
Author Profile Icon Luigi Pirelli
Luigi Pirelli
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Toc

Table of Contents (13) Chapters Close

Preface 1. A Refreshing Look at QGIS FREE CHAPTER 2. Creating Spatial Databases 3. Styling Raster and Vector Data 4. Preparing Vector Data for Processing 5. Preparing Raster Data for Processing 6. Advanced Data Creation and Editing 7. Advanced Data Visualization 8. The Processing Toolbox 9. Automating Workflows with the Graphical Modeler 10. Creating QGIS Plugins with PyQGIS and Problem Solving 11. PyQGIS Scripting Index

Running an external algorithm or command

There are often a bunch of legacy programs or scripts for which there are no resources to port them into another language or framework. Thanks to Python and PyQGIS, it's simple to integrate your existing programs into QGIS.

Running a simple command

We can run an external command in different ways, but we will explore how to do it with the Processing Toolbox that supports the progress bar, which is often useful to log algorithm steps.

To execute an external command, we will follow these steps:

  1. Create a Processing Toolbox script called runping.
  2. Code the script.
  3. Test the script.

Step one is similar to that described in the Creating a test Processing Toolbox script section.

The code of the script is in the following code snippet:

import subprocess
import time

proc = subprocess.Popen(
    ["ping", "-c", "10", "localhost"],
    stdout=subprocess.PIPE,
    stdin=subprocess.PIPE,
    stderr=subprocess.PIPE)

counter ...
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