The nemweb package provides a nemfile_reader that simplifies the extraction of members from an archive. Here’s the general logic for your next script: Target the specific NEMWeb report URL you need.
Use the nemzip reader to identify the member CSV inside the zip file. NEMzip
Below is a drafted blog post for a technical audience—such as data scientists or energy analysts—who need to automate their AEMO data workflows. The nemweb package provides a nemfile_reader that simplifies
It is built to work seamlessly with tools like nempy and NEMOSIS , which are the gold standards for modelling NEM dispatch and historical prices. Below is a drafted blog post for a
You can pull data from a URL and read it as a byte stream or string, skipping the "save to disk, then unzip, then load" workflow.
By using nemzip within a Python script, you can automate your weekly or daily data refreshes for regional reference prices (RRP) or FCAS data. Quick Start: How to Use It
If you’ve ever spent an afternoon manually downloading zipped CSVs from the AEMO NEMWeb portal, you know the "portal fatigue" is real. Between the cryptic file naming conventions and the sheer volume of 5-minute dispatch data, getting to the actual analysis often feels like the smallest part of the job. Enter . What is NEMzip?