How-to: Access the ComStock datasets programmatically

These example scripts demonstrate how users can access the ComStock datasets programmatically and provide a jumping off point for analysis.

More content will be posted as it becomes available.

Python

Download Annual Baseline and Upgrade Data. Example Jupyter Notebook for pulling annual baseline and upgrade results from the Open Energy Data Initiative (OEDI) data lake, filtering to a specific geography, and plotting comparisons. Requires an Amazon Web Services (AWS) account.
Download Individual Building Load Profiles. Example Jupyter Notebook for pulling individual baseline and upgrade load profiles from the OEDI data lake for a given geography and plotting comparisons. Requires an AWS account.