#release pyam v0.6.0 - aggregating data at sub-annual resolution and easier unit conversion (again) #release

Daniel Huppmann

Dear pyam user community,

Happy to announce a new release v0.6.0 of the pyam package! Check out the detailed release notes on GitHub.


# Add feature to aggregate timeseries at sub-annual time resolution

We added an aggregate_time() feature: it applies a function like sum (default), average, max, min, ... to data given at a sub-annual time resolution to a yearly or more aggregated sub-annual time slices (e.g., from months to seasons).

# Easier unit conversion (again)

The iam-units utility was turned into an installable package available via both pip and conda making maintenance of both packages pyam and iam-units easier going forward - and allowing you to easily get the latest version of the unit-conversion utility without having to wait for a new pyam release.

If you run into any issues when upgrading pyam, try running the following in a command prompt:

> pip install iam-units

Thanks to Paul Kishimoto (@khaeru) for developing the iam-units package and pushing this really nice utility forward!

# Improved documentation pages (again)

We (again) made an effort to rewrite and extend the documentation pages. Read the new docs!

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