Python API - Joel McCune

Python API

A collection of 5 posts

Automatically Convert to Esri Spatially Enabled Dataframe

I frequnetly need a Spatially Enabled Dataframe from a variety of sources, and these sources frequently change. Guessing there is a very good chance I am not the only one doing this - here is my solution to this as a Gist you are more than welcome to use.

ArcGIS-ML-Docker

ArcGIS-ML-Docker

Easily 80 percent of my time at work is now spent in ArcGIS Python API [https://developers.arcgis.com/python/], either the stable branch, or much of the time, the daily build. Frequently I switch between these environments, but also need a few other Conda packages to support machine learning.

ArcGIS Python Geometry from Shapely

The ArcGIS Python API Geometry object includes the capability to export the geometry to a Shapely Geometry object, but not the capability to create a new ArcGIS Geometry object from a Shapely object. Thankfully, it is not difficult to add this capability to every ArcGIS Geometry object in a namespace.

Loading a Previously Saved SpatialDataFrame from CSV

Loading a Previously Saved SpatialDataFrame from CSV

Increasingly I find myself working with SpatialDataFrames for analysis in Jupyter Notebooks in Python. Much of the time the easiest way to save results for future work is saving to a CSV file. This CSV file can then be loaded back into another notebook as an active SpatialDataFrame for further

Creating a SpatialDataFrame from a Web GIS Item

Creating a SpatialDataFrame from a Web GIS Item

The relatively recent addition of the SpatialDataFrame object to the ArcGIS Python API was a gigantic leap forward. The SpatialDataFrame marries the common data structure used for data munging and data science, the Pandas DataFrame [https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html], with ArcGIS in a familiar