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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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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

Working with legend and text elements in the layout

Now that you have all of your layers on your map, you need to make sure those layers are properly called out in your legend. In this section, you will take layers you just added to the map and add them to your legend. They will be added using the default legend style you set above in the Legend Item elements section.

In addition, you also want to add some details about each highlighted block group. Your map would be much more useful to readers if you included a table that contained the percentage of each race group in the highlighted block group on your map. This will allow them not only to see the race groups in the dot density map but also to reference the percentage each occupies in the block group.

You will do this by creating a list and data dictionary that will be used to extract data from the attribute table of the AlamedaContraCostaCounty_RaceHispanic_BlockGroup. This data will be extracted in the next section to...

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