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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

Introduction to Pandas

Pandas is a Python module used for data analysis and manipulation. It is an open-source module that can be installed and used separately from ArcGIS Pro; in fact, it is the most popular Python data analysis module. As it is so useful and well-known, it is included along with Python when ArcGIS Pro is installed.

Its origins lie in the financial world, where statistical analysis is used constantly. In 2007, needing a more powerful tool to perform quantitative analysis, a financial analyst and programmer named Wes McKinney developed the first version of Pandas. It was made open source in 2012 and was quickly recognized as a powerful and flexible data tool.

Pandas DataFrames

The basic data structure in Pandas is the Pandas DataFrame. A Pandas DataFrame is essentially a data table, much like ArcGIS attribute tables or Excel tables, but with a whole lot of built-in features that make it easy to manipulate and manage data.

Pandas Series

DataFrames...

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