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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

Exercise: From GeoJSON to CSV to SHP using Pandas

In this exercise, you will explore Pandas using an example of addresses stored in a GeoJSON file. The address file is from openaddresses.io and represents a county in Pennsylvania. You will use the basic features of Pandas and Notebooks to transform data from the raw format supplied by OpenAddresses into a feature class. Along the way, you will create maps displaying the address data.

Pandas can be used in a standalone Python script, but for this example we will use a Notebook, a common method.

  1. Open ArcGIS Pro and start a new project, then add a new Notebook from the Insert tab. Rename the Notebook to Chapter8.
  2. In the first cell, you will import arcpy and arcgis, as well as pandas. Type in the following:
    import arcgis, arcpy
    import pandas as pd
    
  3. In the same cell, you will read the cameron-addresses-county.geojson file into a Pandas DataFrame. You will open the file and assign it to a data...
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