Exploring and Manipulating Data with ArcPy– 

Module 5 Assignment Reflection

This week’s assignment focused on exploring and manipulating spatial data using ArcPy. The main objective was to create a Python script that automatically creates a file geodatabase, copies spatial data into it, and uses a Search Cursor to build a dictionary containing New Mexico county seat cities and their populations.

One of the most useful concepts I learned this week was how to use ArcPy's Describe, List, and Cursor functions together to automate repetitive GIS tasks. Instead of manually copying datasets and looking up attribute values, the script handled everything automatically.

Assignment Overview

The script completed the following tasks:

• Created a new file geodatabase in the Results folder
• Listed all feature classes in the Data folder
• Copied each feature class into the new geodatabase using a loop
• Used a Search Cursor to identify all cities classified as County Seats
• Created and populated a Python dictionary using city names as keys and population values as dictionary values
• Displayed progress messages throughout the process to make the output easier to follow

Script Results

Figure 1. Successful execution of the Module 5 script showing geodatabase creation, feature class copying, and population dictionary creation.

Script Flowchart

Figure 2. Flowchart illustrating the overall logic of the Module 5 script.

The flowchart was created to visualize the sequence of operations performed by the script. The process begins by importing ArcPy modules, setting the workspace, and enabling overwrite permissions. The script then creates a new file geodatabase and uses a loop to copy all feature classes from the Data folder into the new geodatabase. After the data is copied, the workspace is updated to the new geodatabase and a Search Cursor is used to retrieve the names and populations of cities classified as County Seats. These values are stored in a Python dictionary called county_seats, which is then printed to the output window. Creating the flowchart helped me organize the script logic and better understand how each step contributes to the final result.

What I Learned

This assignment helped reinforce several important ArcPy concepts:

• Using ListFeatureClasses() to automate batch processing.
• Using Describe() and the basename property when copying shapefiles into a geodatabase.
• Creating and populating Python dictionaries from GIS data.
• Using Data Access (arcpy.da) Search Cursors with ArcGIS Pro 3.6 syntax.
• Creating SQL expressions to filter records.
• Using flowcharts to plan and document script logic before and after coding.

The flowchart was especially useful because it provided a visual representation of the script structure and made it easier to follow the sequence of operations.

Challenges and Solutions

The most challenging part of this assignment was creating the Search Cursor and SQL query needed to retrieve only County Seat cities. I had to pay close attention to the required ArcGIS Pro 3.6 cursor syntax and ensure the correct field list was included in the cursor.

Another challenge involved understanding how the data moved through the script. Creating the flowchart helped clarify the workflow by breaking the script into logical steps, making it easier to troubleshoot and verify that each process was occurring in the correct order.