#release pyam v0.4.0 - improved region/sectoral aggregation & downscaling features #release

Daniel Huppmann

Dear pyam user community,

We’re happy to announce a new release of the pyam package! Get the latest version via `pip` or `conda` (note the subtle naming difference between the two package managers).

# Highlights
  1. New feature: downscale regional timeseries data to subregions using a proxy variable
  2. Improved features for aggregation by sectors and regions: support weighted-average, min/max, etc. (including a reworked tutorial)
  3. Streamlined I/O: include the meta table (categorization and quantitative indicators) when reading from/writing to xlsx files
# API changes

Please read the release notes to see the list of API changes and the list of individual changes introduced in this release

# Easier communication via Slack 

By the way: we have a Slack workspace for quick discussions and questions. If you want to join, send an email to pyam+owner@groups.io.

# Acknowledgements

Thanks to Matthew Gidden, Zeb Nicholls, Nikolay Kushin, Ed Byers, Jarmo Kikstra, Francesco Lovat, and all others who contributed to the package!

Best regards,


Dr. Daniel Huppmann
Research Scholar, Energy Program (ENE)

International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
+43(0) 2236 807-572