Dear pyam user community,
My colleague Philip Hackstock looked into a few performance issues and found a way to improve speed and memory usage when writing to xlsx spreadsheets. This can be quite useful for you when you are processing larger files. So we’re happy to announce a new release v1.6 of the pyam package!
# Highlights of the new release
- Improved performance for writing data to xlsx spreadsheets
- Better integration with the IIASA Scenario Explorer database API
- Support for filtering by model-scenario pairs with an index argument
# Skills Workshop at the ECEMEP 2022
Philip will also do a Skills Workshop at the ECEMEP 2022 conference (Thursday October 6, 9:00-10:30 CEST) - maybe useful if you didn’t have a chance yet to try out pyam in detail, or if you would like to see more of its features in practice for scenario analysis, visualization and computation of derived variables or indicators. Sign up for the conference at https://ecemp2022.b2match.io.
# Join the Slack workspace?
If you want to ask questions or read tips-and-tricks from time to time on how to use pyam more effectively in your scenario analysis or data-viz work, maybe consider joining our Slack workspace?
For more information, please read the full release notes...
Dr. Daniel HUPPMANN
Coordinator of the Research Theme „Scenario Services & Scientific Software"
Energy, Climate, and Environment (ECE) Program