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
Programming ArcGIS with Python Cookbook, Second Edition

You're reading from   Programming ArcGIS with Python Cookbook, Second Edition Over 85 hands-on recipes to teach you how to automate your ArcGIS for Desktop geoprocessing tasks using Python

Arrow left icon
Product type Paperback
Published in Jul 2015
Publisher
ISBN-13 9781785282898
Length 366 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Eric Pimpler Eric Pimpler
Author Profile Icon Eric Pimpler
Eric Pimpler
Arrow right icon
View More author details
Toc

Table of Contents (17) Chapters Close

Preface 1. Fundamentals of the Python Language for ArcGIS 2. Managing Map Documents and Layers FREE CHAPTER 3. Finding and Fixing Broken Data Links 4. Automating Map Production and Printing 5. Executing Geoprocessing Tools from Scripts 6. Creating Custom Geoprocessing Tools 7. Querying and Selecting Data 8. Using the ArcPy Data Access Module with Feature Classes and Tables 9. Listing and Describing GIS Data 10. Customizing the ArcGIS Interface with Add-ins 11. Error Handling and Troubleshooting 12. Using Python for Advanced ArcGIS 13. Using Python with ArcGIS Pro A. Automating Python Scripts B. Five Python Recipes Every GIS Programmer Should Know Index

Introduction


It is not uncommon for your GIS data sources to move, migrate to a new data format, or be deleted. The result can be broken data sources in many map documents or layer files. These broken data sources can't be used until they're fixed, which can be an overwhelming process if the same changes need to be made across numerous map documents. You can automate the process of finding and fixing these data sources using arcpy.mapping, without ever having to open the affected map documents. Finding broken data sources is a simple process requiring the use of the ListBrokenDataSources() function, which returns a Python list of all broken data sources in a map document or layer file. Typically, this function is used as the first step in a script that iterates through the list and fixes the data source. Fixing broken data sources can be made in an individual data layer or across all layers in a common workspace.

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