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Mastering Geospatial Analysis with Python
book

Mastering Geospatial Analysis with Python

by Silas Toms, Paul Crickard, Eric van Rees
April 2018
Beginner to intermediate content levelBeginner to intermediate
440 pages
11h 36m
English
Packt Publishing
Content preview from Mastering Geospatial Analysis with Python

Feature properties

You can get the first feature using the code as follows:

item=scf.getFeatures().next()

The previous code uses getFeatures().next() to get the first feature and assigns it to the item variable. If you remove the .next(), you get a QgsFeatureIterator, which allows you to iterate through all of the features. For the following examples we will use a single feature.

To get the geometry, assign it to a variable as shown:

g = item.geometry()

To get the type, you can use the following code:

g.type() 0

The previous code returns 0 for points. Knowing that the features are points, we can see the coordinates using asPoint() as shown in the following code:

item.geometry().asPoint()(-106.652,35.0912)item.geometry().asPoint()[0]-106.65153503418 ...
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Publisher Resources

ISBN: 9781788293334Supplemental Content