Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Python Geospatial Analysis Cookbook

You're reading from   Python Geospatial Analysis Cookbook Over 60 recipes to work with topology, overlays, indoor routing, and web application analysis with Python

Arrow left icon
Product type Paperback
Published in Nov 2015
Publisher
ISBN-13 9781783555079
Length 310 pages
Edition 1st Edition
Languages
Arrow right icon
Toc

Table of Contents (15) Chapters Close

Preface 1. Setting Up Your Geospatial Python Environment FREE CHAPTER 2. Working with Projections 3. Moving Spatial Data from One Format to Another 4. Working with PostGIS 5. Vector Analysis 6. Overlay Analysis 7. Raster Analysis 8. Network Routing Analysis 9. Topology Checking and Data Validation 10. Visualizing Your Analysis 11. Web Analysis with GeoDjango A. Other Geospatial Python Libraries
B. Mapping Icon Libraries
Index

Batch exporting a list of tables from PostGIS to Shapefiles


We will now change direction and take a look at how we can batch export a list of tables from our PostGIS database into a folder of Shapefiles. We'll again use the ogr2ogr command-line tool from within a Python script so that you can include it in your application programming work flow. Near the end, you can also see how all this works in one single command line.

How to do it...

  1. The following script will fire the ogr2ogr command and loop over a list of tables to export the Shapefile format into an existing folder. So, let's take a look at how to do this as follows:

    #!/usr/bin/env python
    # -*- coding: utf-8 -*-
    #
    import subprocess
    import os
    
    # folder to hold output Shapefiles
    destination_dir = os.path.realpath('../geodata/temp')
    
    # list of postGIS tables
    postgis_tables_list = ["bikeways", "highest_mountains"]
    
    # database connection parameters
    db_connection = """PG:host=localhost port=5432 user=pluto
            dbname=py_geoan_cb password...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime