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

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...