Book Image

Python for ArcGIS Pro

By : Silas Toms, Bill Parker
Book Image

Python for ArcGIS Pro

By: Silas Toms, Bill Parker

Overview of this book

Integrating Python into your day-to-day ArcGIS work is highly recommended when dealing with large amounts of geospatial data. Python for ArcGIS Pro aims to help you get your work done faster, with greater repeatability and higher confidence in your results. Starting from programming basics and building in complexity, two experienced ArcGIS professionals-turned-Python programmers teach you how to incorporate scripting at each step: automating the production of maps for print, managing data between ArcGIS Pro and ArcGIS Online, creating custom script tools for sharing, and then running data analysis and visualization on top of the ArcGIS geospatial library, all using Python. You’ll use ArcGIS Pro Notebooks to explore and analyze geospatial data, and write data engineering scripts to manage ongoing data processing and data transfers. This exercise-based book also includes three rich real-world case studies, giving you an opportunity to apply and extend the concepts you studied earlier. Irrespective of your expertise level with Esri software or the Python language, you’ll benefit from this book’s hands-on approach, which takes you through the major uses of Python for ArcGIS Pro to boost your ArcGIS productivity.
Table of Contents (20 chapters)
1
Part I: Introduction to Python Modules for ArcGIS Pro
5
Part II: Applying Python Modules to Common GIS Tasks
10
Part III: Geospatial Data Analysis
14
Part IV: Case Studies
18
Other Books You May Enjoy
19
Index

The Data Access Module and Cursors

The Data Access module is for working with data. You have already seen some functions from the Data Access module (the Describe function from Chapter 2, Basics of ArcPy) that assist you in finding different data types. In addition to that, the Data Access module can be used to walk through directories to find data; it contains cursors to assist in finding and updating data and an editor class that allows you to edit data on enterprise systems when other users are accessing the data.

In this chapter, you will learn how to walk through a directory to extract all the ZIP files present and move them to an organized geodatabase structure. You will also create a Notebook using cursors that will insert census demographic data into a census geography feature class.

This chapter will cover:

  • arcpy.da.Walk to walk through a directory and find data
  • Search, insert, and update cursors to search, write, and update data
...