Business Analyst Python API Examples

Recently, the development team working on Business Analyst has put significant resources into improving the functionality of Business Analyst through Python, specifically the Python API for ArcGIS, the arcgis package. This repository contains examples of how this functionality can be used.

Note

While the included examples all ran for me, and likely can provide a useful template for you to start tackling similar projects, absolutely no guarantees are made. That said, there is a high likelihood you may find some useful nuggets in here if you work with Business Analyst and Python.

• Setup
  • Requirements
  • Conda
  • Creating Conda Environments
• Enrich Capabilities
  • Introducation to ``enrich``
    • GIS Source
    • Discovering Countries
      • Country Source - local
      • Country Source - Web GIS
    • Creating a Country
    • Enrichment Variables
    • Filtering Variables
      • Get Current Income Metrics
      • Get Current Key Metrics
    • Onto Enrich
    • Enrich Study Area Polygons
    • Enrich Point Locations
  • Enrich Examples
    • Enrich Using Standard Geography
      • Create a GIS Object
      • Create Country
      • Discover Available Geographic Levels
      • Enrich a County by FIPS
    • Enrich Using Point Geometries
      • Point List Using Defaults
      • Specify Proximity Value
      • Specify Proximity Value and Metric
      • Specify Proximity Type
      • Use a Spatially Enabled Data Frame
• Workflows
  • Enrich Variable Name Lookup
    • Load Excel Table with Various Representations of Enrich Names
    • Create a Country Object Instance
    • Perform Lookups
      • ArcGIS Pro Enrich Names
      • ArcMap Enrich Names
      • Field Names
      • Preprocessing with Lookup
    • Concantenating for Local Enrich
    • Adding Onto Existing Table
      • Saving Results
    • Garbage Disposal Function
  • Enrich Store Locations
    • Setup
      • Using Python-DotEnv
      • Parameterizing
      • Create GIS Object Instance
    • Get Store Locations
      • Create Item Instance
      • Get the Layer
      • Get the Data
    • Enrich Data
      • Create a Country
      • Filter to Variables of Interest
      • Pre-Python API v2.0.1
        • Create Geometries to Enrich
      • Post Python API v2.0.1
        • Travel Modes
        • Use Rural Driving Modes
  • Variables for Medical Fraud
    • Create a Country Object Instance
    • Retrieve Standard Geographies for Analysis
    • Enrich
      • Get Variables for Enrichment
      • Perform Enrichment
    • Add Aliases
      • Create Pandas Series for Alias Lookup
      • Use Alias List to Look Up Relevant Column Aliases
      • Prune Columns
      • Apply Aliases
    • Final Product - Export to Excel
  • Clustering Block Groups
    • Pipeline for Zip Codes
      • Get a Local Country
      • Select Variables
      • Get Standard Geography Name
      • Enrich Preprocessor
      • Filtering Columns
    • Clustering Block Groups Using Demographics
      • Source - ArcGIS Online
      • Selecting Variables
      • Get Demographics
        • Get Just the Enriched Columns
      • Data Cleanup
      • Dimensionalty Reduction
      • Clustering
      • Dissolve Clusters
    • Visualizing, Sharing and Interrogating
• Tools
  • Preprocessing
• Enrich Demo
  • Setup Data
  • Demonstration
    • Key Messages
    • Open PDX Coffee Demo Map
    • Open enrich-demo.ipynb Notebook