#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,
Daniel

--

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

International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
huppmann@...
+43(0) 2236 807-572
www.iiasa.ac.at/staff/huppmann

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