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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

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Product type Paperback
Published in Jul 2015
Publisher
ISBN-13 9781785282898
Length 366 pages
Edition 1st Edition
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Author (1):
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Eric Pimpler Eric Pimpler
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Eric Pimpler
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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

Finding broken data sources in your map document and layer files

Broken data sources are a very common problem with map document files. You can use arcpy.mapping to identify data sources that have moved, been deleted, or changed in their format.

Getting ready

In ArcMap, a broken data connection is signified by a red exclamation point just before the layer name. This is illustrated in the following screenshot. The ListBrokenDataSources() function in arcpy.mapping returns a list of layer objects from a map document or layer file that have a broken data connection:

Getting ready

How to do it…

Follow these steps to learn how to find broken data sources in a map document file.

  1. Open C:\ArcpyBook\Ch3\Crime_BrokenDataLinks.mxd in ArcMap.

    You will see that each of the data sources have been broken. In this case, the data has been moved to another folder, but you'd see the same indicator if the data had been deleted or migrated to a different format. For example, it is not uncommon to convert data from a...

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