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

Using the mapping module to visualize your data

So far, you have been managing and updating data, creating folders and moving data there, and creating groups for sharing, all through ArcGIS API for Python. While that has been useful, all of the data is geospatial and it might be helpful to see that data displayed on a map. By working in the Jupyter Notebook environment with ArcGIS API for Python, you can visualize all of the data. In this exercise, you are going to display the farmers’ market data and symbolize it by the day it is open within the Notebook environment.

  1. Right-click on the Chapter5 folder and select New > Notebook. Rename the Notebook to CreateMap.
  2. You will start with the standard code to import the arcgis module and create a connection to your ArcGIS Online account. You will also import the pandas library. This will allow you to create a Spatially Enabled DataFrame (SEDF). SEDFs are objects that can easily manipulate geometric and attribute...