#pyam_iamc — Public Fediverse posts

🎉 Release 3.4 of our Python package pyam for scenario analysis & data visualisation

New features:
1. Aggregate Kyoto-GHG using different GWP metrics
2. Improved support for datetime-format & categorical subannual timeseries data
3. Integration with latest version of ixmp4 database package

#pyam_iamc 🔌💡
https://github.com/iamconsortium/pyam

🎉 Release 3.4 of our Python package pyam for scenario analysis & data visualisation

New features:
1. Aggregate Kyoto-GHG using different GWP metrics
2. Improved support for datetime-format & categorical subannual timeseries data
3. Integration with latest version of ixmp4 database package

#pyam_iamc 🔌💡
https://github.com/iamconsortium/pyam

🎉 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

🎉 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

🎉 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

🎉 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

🎉 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/

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/

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/

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/

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/

🎉 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

🎉 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

#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

#pyam_iamc
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/

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/

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/

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/

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/

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/

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/

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/

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

🎉 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

🎉 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

🎉 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

🎉 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

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).

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).

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).

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).

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

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

Just in time for the #Horizon2020 #ECEMF consortium meeting...

🎉 Release v1.9 of the #pyam_iamc package for #scenario analysis & #dataviz

Now supporting #pandas v2.0 and fully tested on #Python v3.11...
https://github.com/iamconsortium/pyam

Just in time for the #Horizon2020 #ECEMF consortium meeting...

🎉 Release v1.9 of the #pyam_iamc package for #scenario analysis & #dataviz

Now supporting #pandas v2.0 and fully tested on #Python v3.11...
https://github.com/iamconsortium/pyam

Final #CapacityBuilding session for today...

Philip Hackstock (#IIASA #ECE #DataSteward) giving a hands-on #tutorial of the #opensource #python package #pyam_iamc for #scenario analysis & #dataviz...

#FreeTheModels for #OpenScience
#openmod2023

Final #CapacityBuilding session for today...

Philip Hackstock (#IIASA #ECE #DataSteward) giving a hands-on #tutorial of the #opensource #python package #pyam_iamc for #scenario analysis & #dataviz...

#FreeTheModels for #OpenScience
#openmod2023

Two weeks until the #openmod workshop hosted by the #IIASA #Energy #Climate & #Environment program!

Learn about model comparison, #FAIRdata, #opensource tools #MESSAGEix & #pyam_iamc, the #ECEMF project,... from @LudwigHuelk, @paulnatsuo, and many others.

Join the #CapacityBuilding sessions (Wednesday, March 22) online
👉https://forms.office.com/e/rPnbkLYAxp

Two weeks until the #openmod workshop hosted by the #IIASA #Energy #Climate & #Environment program!

Learn about model comparison, #FAIRdata, #opensource tools #MESSAGEix & #pyam_iamc, the #ECEMF project,... from @LudwigHuelk, @paulnatsuo, and many others.

Join the #CapacityBuilding sessions (Wednesday, March 22) online
👉https://forms.office.com/e/rPnbkLYAxp

Two weeks until the #openmod workshop hosted by the #IIASA #Energy #Climate & #Environment program!

Learn about model comparison, #FAIRdata, #opensource tools #MESSAGEix & #pyam_iamc, the #ECEMF project,... from @LudwigHuelk, @paulnatsuo, and many others.

Join the #CapacityBuilding sessions (Wednesday, March 22) online
👉https://forms.office.com/e/rPnbkLYAxp

Two weeks until the #openmod workshop hosted by the #IIASA #Energy #Climate & #Environment program!

Learn about model comparison, #FAIRdata, #opensource tools #MESSAGEix & #pyam_iamc, the #ECEMF project,... from @LudwigHuelk, @paulnatsuo, and many others.

Join the #CapacityBuilding sessions (Wednesday, March 22) online
👉https://forms.office.com/e/rPnbkLYAxp

Two weeks until the #openmod workshop hosted by the #IIASA #Energy #Climate & #Environment program!

Learn about model comparison, #FAIRdata, #opensource tools #MESSAGEix & #pyam_iamc, the #ECEMF project,... from @LudwigHuelk, @paulnatsuo, and many others.

Join the #CapacityBuilding sessions (Wednesday, March 22) online
👉https://forms.office.com/e/rPnbkLYAxp

Just in time for the #openmod workshop hosted by the #IIASA #Energy #Climate & #Environment program...

🎉New release v1.8 of our #opensource #python package #pyam_iamc for #scenario analysis & #dataviz!

1. Jonas Hirsch & Matt Gidden refactored the internal #pandas data handling, so initializing an #IamDataFrame is now up to 3x faster for large datasets!
2. @PietroMonticone fixed a few typos in the #tutorials...

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