🎉 Happy to announce release v3.2 of the #opensource #python package pyam for analysis & plotting of #IntegratedAssessment & #EnergySystems scenarios!
Highlights:
- Streamline operations of timeseries data with non-SI units
- Explicit check for infinite values
- Fix for scenario categorization
Just in time before the end of the year…
🎉 Release 3.0 of our #opensource Python package #pyam_iamc for scenario analysis & #dataviz of emissions, #energysystems and #IntegratedAssessment models…
Highlights:
- Implement reading and writing of netcdf files
- Remove automated sorting of timeseries data for performance improvement
- Add support for Python 3.13
🎉 Release 2.3 of our opensource python package pyam for dataviz and scenario analysis of Integrated Assessment, Energy Systems & Macro-Energy models..
Highlight: new options for data filtering!
#pyam_iamc
https://github.com/IAMconsortium/pyam
Finally got around to do some #python programming again...
🎉 Happy to announce release 2.2.4 of the pyam package for scenario analysis and dataviz
Added a new option for filtering of IAMC-format timeseries data and improved documentation
Happy to announce...
🎉 Release 2.2 of our #opensource #python package #pyam_iamc for #dataviz and #scenario analysis of #IntegratedAssessment, #EnergySystems & #MacroEnergy models.
Highlights:
- Direct integration with the new #ixmp4 database package
- More flexible and intuitive signature for data validation and categorization
- Support for Python 3.12 and migration to poetry & ruff
Just in time for the end of the year...
🎉 Release 2.1 of our #opensource #python package #pyam_iamc for #dataviz and #scenario analysis of #IntegratedAssessment, #EnergySystems & #MacroEnergy models.
🎉 Release 2.0 of the #python package #pyam_iamc for #dataviz and #scenario analysis of #IntegratedAssessment, #EnergySystems & #MacroEnergy models.
Code #OpenSource on #GitHub, docs & tutorials hosted on #ReadTheDocs, discussion fora via groups.io and #Slack.
⚠️The new release removes support for #python earlier than 3.10 for easier maintenance and streamlined development going forward...
Check out the release details at https://github.com/IAMconsortium/pyam/releases/tag/v2.0.0
To review the (draft) update of national #SSP projections for #GDP and #population, you can...
1. View the data via our interactive #ScenarioExplorer hosted by the #IIASA #ScenarioServices team
2. Download the full dataset as xlsx
3. Access the data via our #Python or #Rstats API
And with our #opensource package #pyam_iamc, it's as easy as the snippet below...
... to get something that's just like a #pandas #DataFrame - but better!
Wrapping up a day of lectures & tutorials at the #NAVIGATE-#ENGAGE Summer School on #IntegratedAssessment modeling & #Climate policy research…
My slides on #betterpractices of reproducible, transparent #scenario analysis and the #python package #pyam_iamc tutorial notebook are #opensource at https://github.com/danielhuppmann/ENGAGE-pyam-tutorial & https://doi.org/10.5281/zenodo.8112529 (#ZENODO).
Boarding #ÖBB #RailJet #RJX600 heading to the #ENGAGE-#NAVIGATE Summer School on #IntegratedAssessment modeling at #lagodicomo
Looking forward to giving a tutorial on #scenario #analysis & #dataviz using the #opensource #python package #pyam_iamc!
Daniel Huppmann
