#pyam_iamc — Public Fediverse posts

🎉 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

#pyam_iamc
https://github.com/IAMconsortium/pyam

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

https://github.com/iamconsortium/pyam/

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

https://github.com/iamconsortium/pyam/

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.

👉 https://github.com/iamconsortium/pyam/

🎉 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!

#ReadTheDocs at https://pyam-iamc.readthedocs.io

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!

#TrainNotPlane

📢 PhD students & #earlycareer researchers on #climate policy & #SustainableDevelopment

Apply now for the #SummerSchool on #IntegratedAssessment modeling (July 3-7 🇮🇹) organized by the #Horizon2020 projects #ENGAGE & #NAVIGATE.

And yes, I'll be there and do a hands-on training session on how to use the #opensource #pyam_iamc package for #scenario analysis & #dataviz and share some tips on better #OpenScience...

👉 https://www.engage-climate.org/navigate-engage-summer-school-2023/

The #Horizon2020 project #openENTRANCE is drawing to a close, so we're preparing an #innovation document of #modeling & #dataviz tools that we didn't have time to implement - so that other projects can take up the baton!

Any ideas or requests how we could make the #openENTRANCE #ScenarioExplorer or the #pyam_iamc package more useful for understanding 🇪🇺 #European pathways towards #ClimateNeutrality?
☀️💨🌊🌳🚲🦽🪴