#release pyam v0.5.0 - easier unit conversion and new tutorials #release


Daniel Huppmann
 

Dear pyam user community,

Happy to announce a new release v0.5.0 of the pyam package! Check out the detailed release notes on GitHub.

Highlights:

# Easier unit conversion

Improved feature for unit conversion using the pint package and the IAMconsortium/units repository, providing out-of-the-box conversion of units commonly used in integrated assessment research, energy systems modelling and related fields!

You will now be able to simply do 
> df.convert_unit('EJ/yr', 'GWh/yr')
without needing to specify the conversion factor (for standard units). See this tutorial for more information!

Thanks to our colleague Paul Kishimoto (@khaeru) for initiating the shared units repository that supports this new feature!

# New tutorial for working with various input data formats

Switching between long and wide table formats and adding relevant columns (like model and scenario name) is a nuisance in the processing of results. Take a look at this new tutorial to see how pyam how streamline your workflow!

# Increased support for timeseries data with continue time formats

The pyam package started as analysis tool for yearly data, but most functions support data using continuous-time formats. Thanks to Robin Lamboll (@Rlamboll) for refactoring the interpolate() function to correctly support both time formats!

# Improved documentation pages

We made an effort to rewrite and extend the documentation pages, in particular for the API docs. Read the new docs!

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