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Python for ArcGIS Pro

You're reading from   Python for ArcGIS Pro Automate cartography and data analysis using ArcPy, ArcGIS API for Python, Notebooks, and pandas

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Product type Paperback
Published in Apr 2022
Publisher Packt
ISBN-13 9781803241661
Length 586 pages
Edition 1st Edition
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Tools
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Authors (2):
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William Parker William Parker
Author Profile Icon William Parker
William Parker
Silas Toms Silas Toms
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Silas Toms
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Table of Contents (20) Chapters Close

Preface 1. Part I: Introduction to Python Modules for ArcGIS Pro
2. Introduction to Python for GIS FREE CHAPTER 3. Basics of ArcPy 4. ArcGIS API for Python 5. Part II: Applying Python Modules to Common GIS Tasks
6. The Data Access Module and Cursors 7. Publishing to ArcGIS Online 8. ArcToolbox Script Tools 9. Automated Map Production 10. Part III: Geospatial Data Analysis
11. Pandas, Data Frames, and Vector Data 12. Raster Analysis with Python 13. Geospatial Data Processing with NumPy 14. Part IV: Case Studies
15. Case Study: ArcGIS Online Administration and Data Management 16. Case Study: Advanced Map Automation 17. Case Study: Predicting Crop Yields 18. Other Books You May Enjoy
19. Index

ArcPy environment settings

ArcPy environment settings allow you access to general geoprocessing settings, as well as the geoprocessing settings of a specific tool. For tools, they act as parameters you can set to change the results of a tool. There are many that can be used, but there are some you will use more commonly than others.

In this section, we are going to look at two of the most common ones and see how to set them: arcpy.env.workspace and arcpy.env.scratchWorkspace. Setting your workspace and scratch workspace is a good idea, as it allows you to have a default location to send the data you are creating. They are also the workspaces that will be used when using the list functions you will explore below.

Using the workspace properties of the environment class, you can check and change your workspace or scratch workspace. Your workspace is the default location for any data you write and want to maintain. The scratch workspace is for data you do not want to maintain...

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