#pyam_iamc — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #pyam_iamc, aggregated by home.social.
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🎉 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 -
🎉 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 -
🎉 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 -
🎉 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 -
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
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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 -
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.
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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.
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🎉 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
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🎉 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
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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 APIAnd 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! -
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 APIAnd 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! -
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 APIAnd 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! -
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 APIAnd 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! -
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 APIAnd 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).
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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).
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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).
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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).
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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).
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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!
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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...
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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... -
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... -
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... -
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... -
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... -
📢 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/
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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?
☀️💨🌊🌳🚲🦽🪴 -
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?
☀️💨🌊🌳🚲🦽🪴 -
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?
☀️💨🌊🌳🚲🦽🪴 -
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?
☀️💨🌊🌳🚲🦽🪴 -
And in addition to the support & #helpdesk via #GitHub, a #Slack workspace, a groups.io mailing list ...
...turns out that you can also simply ask #OpenAIChatGPT about #pyam_iamc...
[Thanks @laurentdrouet for the idea!] -
If learning #python and/or diving into the quantitative #mitigation #pathways supporting the #IPCC assessment is still on your list of #NewYearsResolution from 2022...
Try our #opensource community package #pyam_iamc!
Tutorials 👉 https://pyam-iamc.readthedocs.io/en/stable/tutorials.html
https://github.com/iamconsortium/pyam -
@laurentdrouet Ha, thanks, this is really cool...
But it also shows the limitations of #AI: The correct name of #pyam_iamc on #pypi is "pyam-iamc" (because of <insert reason>), so you'll have to do `pip install pyam-iamc`.
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CW: Open-source scientific software for scenario analysis
Another step for easier #scenario analysis & #dataviz!
🎉 New release v1.7 of our #opensource #python package #pyam_iamc for working with #IntegratedAssessment & #EnergySystems scenario data in the #IAMC format!Read the docs at https://pyam-iamc.readthedocs.io/en/stable/
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Curious about the #ScientificSoftware that we're developing at the #IIASA #Energy #Climate & #Environment program?
We're offering an #internship (3-6 months) in the #ScenarioServices team on #opensource tools for analysis & #dataviz like #pyam_iamc!
Maybe relevant for students who are not yet sure whether to pursue a PhD and would like to know more about #BestPractice of #ScientificSoftware & #FAIRdata management...
https://iiasa.ac.at/employment/job-openings?jh=tqyi7wh9u0nm2agy6q3ovnphfke60qs -
Curious about the #ScientificSoftware that we're developing at the @IIASAVienna #Energy #Climate & #Environment program?
We're offering an #internship (3-6 months) in the #ScenarioServices team to work on #pyam_iamc & other #opensource tools for scenario analysis & #dataviz!
👉https://iiasa.ac.at/employment/job-openings?jh=tqyi7wh9u0nm2agy6q3ovnphfke60qs
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There's been tremendous progress to #freethemodels for #energysystems modelling! However, when it comes to #dataprocessing, scenario analysis & #dataviz, there's much less collaborative effort...
If you use #python for working with #energy or #climate scenarios, check out our #opensource package #pyam_iamc at https://pyam-iamc.readthedocs.io - we have plenty of tutorials to help you get started!
#github #pypi #conda #readthedocs -
At the #ScenarioServices team at the #IIASA #Energy #Climate & #Environment program, we support #energy & #climate modeling teams
👉#opensource tools for #scenario analysis, like the #pyam_iamc package
👉share scenario ensembles such as #IPCC #AR6 & #NGFS following #FAIRdata principles
👉capacity-building & tutorials for better practices in modeling & #ScientificSoftware developmentVisit https://software.ece.iiasa.ac.at for more info!