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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

Product type Paperback

Published in Apr 2022

Publisher Packt

ISBN-13 9781803241661

Length 586 pages

Edition 1st Edition

Languages

Python

Tools

ArcGIS

Concepts

Data Analysis

Authors (2):

William Parker

Silas Toms

View More author details

Table of Contents (20) Chapters

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 NumPy

NumPy is an important data processing module included with ArcGIS Pro. NumPy was originally written by Travis Oliphant, who also went on to develop the Anaconda project. It is an open-source Python library based on two competing numeric structure libraries known as Numeric and Numarray.

NumPy was written to be able to handle large arrays of data and also to extend the functionality of Python for mathematical and scientific processing. This makes it a very useful library for writing code to read, analyze, and write raster data.

For ArcGIS Pro users and code writers, using NumPy directly allows you to create custom functions and tools that are not available in the basic tools included in ArcGIS Pro. NumPy’s speed and mathematical capabilities open up new ways to perform analyses and create data workflows.

These custom data workflows will often use Pandas, and NumPy is at the heart of Pandas. Pandas is built on NumPy and its array structure...

The rest of the chapter is locked

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Authors (2)

Toms

Toms

Silas Toms is a long-time geospatial professional and author who has previously published ArcPy and ArcGIS and Mastering Geospatial Analysis with Python. His career highlights include developing the real-time common operational picture used at Super Bowl 50, building geospatial software for autonomous cars, designing computer vision for next-gen insurance, and developing mapping systems for Zillow. He now works at Volta Charging, predicting the future of electric vehicle adoption and electric charging infrastructure.

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Parker

Parker

Bill Parker is a GIS Professional with over 15 years of GIS and Python experience. He previously worked at ICF as a GIS lead on large scale environmental projects, using ArcPy to automate GIS analyses and map production. His project highlights include being the GIS lead for the Caltrain Modernization EIR/S, California High Speed Rail Project San Jose to Merced, and San Francisco to San Jose EIR/S.

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