#pyam_iamc search results

I created a @github gist to illustrate how you can easily query timeseries from the #ixmp4 platform behind the #SSP-Extensions Explorer using #pyam_iamc... 👉 gist.github.com/danielhuppmann…

2| Validation and categorization of scenarios is an important aspect of #IntegratedAssessment research. #pyam_iamc now offers a much more versatile and flexible interface for these tasks... Check out our tutorials on @ReadTheDocs 👉 pyam-iamc.readthedocs.io/en/stable/tuto…

Happy to announce... 🎉 Release 2.2 of our #opensource #python package #pyam_iamc for #dataviz and #scenario analysis of #IntegratedAssessment, #EnergySystems & #MacroEnergy models. Highlights in the thread... github.com/iamconsortium/…

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. 👉github.com/iamconsortium/…

#pyam_IAMC is at its 2.0 release! 👏👏

Highlights of the new #pyam_iamc release: 1. Use the new #ixmp4 package for better integration with the @IIASAVienna #ScenarioExplorer database infrastructure 2. Refactor the `exclude` feature for streamlined scenario validation 3. Implement a cleaner package structure

🎉 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, community via @groupsio & @SlackHQ. Highlights in the 🧵...

We're working hard on some final datasets scripts for reproducibility.... Meanwhile, you can query the data directly via our #opensource #python package #pyam_iamc for scenario analysis and #dataviz. It's really easy - 1 line of code!

Just in time for the @HorizonEU @ECEMF_2020 consortium meeting... 🎉 Release v1.9 of the #pyam_iamc package for #scenario analysis & #dataviz Now supporting @pandas_dev v2.0 and fully tested on #Python v3.11... github.com/iamconsortium/…

Version 1.8 of the #pyam_iamc is now out!

Development of #pyam_iamc is supported by the @HorizonEU projects @open_ENTRANCE, @ECEMF_2020 & @engage_climate as well as the @AriadneProjekt. The package was used for #IPCC #WG3 and many other activities... Check out our #teaching resources! 👉teaching.ece.iiasa.ac.at/pyam.html

1. @jonashoersch & @mattgidden refactored the internal @pandas_dev handling, so initializing an #IamDataFrame is now up to 3x faster for large datasets! 2. @PietroMonticone fixed many typos in the #tutorials... Read the full #pyam_iamc v1.8 release notes👇 github.com/IAMconsortium/…

We have capacity-building-recordings on #scenario analysis & #dataviz using #pyam_iamc at teaching.ece.iiasa.ac.at/pyam.html and a lot of tutorials at pyam-iamc.readthedocs.io. And we'll have a session at the @openmod-workshop hosted by @IIASAVienna (Wednesday, March 22) - want to join?

And in addition to the support & #helpdesk via @github, @SlackHQ, @groupsio, it turns out that you can also simply ask #OpenAIChatGPT about #pyam_iamc... [Thanks @lolow225 for the idea!]

ORE is pleased to highlight 👉🏻 ‘pyam: Analysis and visualisation of integrated assessment and macro-energy scenarios’ an article by @daniel_huppmann & @mattgidden designed to explore pyam software. 🔎Read the article: bddy.me/3wcw8au #H2020 #HorizonEU #pyam_iamc

It's even easier, #pyam_iamc can (almost) read your csv files as they are... The two questions: 1) How to get the csv files onto a user's machine - maybe an installable #python package distributed via @pypi & @condaforge? 2) Would @gcarbonproject be ok with that?

Our manuscript on the #opensource Python package #pyam_iamc for #IntegratedAssessment & #EnergySystems #scenario analysis & #dataviz was approved by reviewers & published in @OpenResearch_EU... 🎉Just in time for #EMPE2021! open-research-europe.ec.europa.eu/articles/1-74

🎉 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, community via @groupsio & @SlackHQ. Highlights in the 🧵...

We're working hard on some final datasets scripts for reproducibility.... Meanwhile, you can query the data directly via our #opensource #python package #pyam_iamc for scenario analysis and #dataviz. It's really easy - 1 line of code!

Announcing #release v0.8 of our #python package #pyam_iamc for #integratedassessment & #energysystems #scenario analysis! What's new? 1) direct #boxplot visualization 2) #tutorial for reading data from a @GAMSmodel 3) API to the @WorldBank Data Catalogue pyam-iamc.readthedocs.io

And in addition to the support & #helpdesk via @github, @SlackHQ, @groupsio, it turns out that you can also simply ask #OpenAIChatGPT about #pyam_iamc... [Thanks @lolow225 for the idea!]

@daniel_huppmann presenting the #pyam_iamc platform at #Openmod which is being developed for the @open_ENTRANCE project to - enable and improve cooperation between energy modelling projects - support the open science community in finding solutions, e.g. for climate emergency

🎉Announcing the first major release (v1.0) of the #opensource package #pyam_iamc for scenario processing, analysis & #dataviz! And to mark the occasion, we published a manuscript in @OpenResearch_EU highlighting design principles & recent applications. open-research-europe.ec.europa.eu/articles/1-74

Nächste Woche Mittwoch, 14. Juli 15:00, werde ich im Online-#Strommarkttreffen das #python-Paket #pyam_iamc zur Analyse & Visualisierung von Energiesystem- & Klima-Szenarien vorstellen. #freethemodels for #openscience strommarkttreffen.org/online/

Based on the Paris Agreement goals, we establish 3 main criteria: pursuing 1.5°C, well below 2°C and net zero greenhouse gases. We then assess @IPCC_CH WG3 pathways (thanks #pyam_iamc) and identify pathways that meet those criteria. 2/

In this new video, @daniel_huppmann introduces the features of the pyam open source package for analysis and data visualization for integrated assessment and macro-energy scenarios 👉indexhttp://t.ly/KnPC #pyam_iamc

What a nice start into 2021... @NatureClimate citing the @IIASAVienna/@IAMConsortium #ScenarioExplorer and our #opensource package #pyam_iamc for scenario analysis & #dataviz as role models for #openness & community engagement! doi.org/10.1038/s41558…

For #Python users, you can use our #opensource community package #pyam_iamc for #scenario analysis & #dataviz to query data - and then directly use the toolbox for #plotting! Read the #tutorial at pyam-iamc.readthedocs.io/en/latest/tuto…

Anyway... The #opensource #python package #pyam_iamc has a simple i/o-interface between the @IAMConsortium format & the @frictionlessd8a #datapackage, and we'll update it soon to the new #frictionless_py package! Read the docs for more info: pyam-iamc.readthedocs.io/en/latest/api/…

3⃣0⃣ participants @ our Capacity Building Workshop 🧠 on #pyam_iamc and #GitHub 💻 Organized by @nlenvironagency & @teriin with contributions from @IIASAVienna's @daniel_huppmann, @PaulNatsuo, & Philip Hackstock, & @PIK_Climate's @anastasisgi For more 👉bit.ly/3sb0vdA

I created a @github gist to illustrate how you can easily query timeseries from the #ixmp4 platform behind the #SSP-Extensions Explorer using #pyam_iamc... 👉 gist.github.com/danielhuppmann…

The #opensource python package #pyam_iamc enables processing, analysis & #dataviz of #IntegratedAssessment & #MacroEnergySystems scenarios. It is developed & used in the projects @open_ENTRANCE, @engage_climate, @AriadneProjekt, #EMF37 - and the just-starting @EU_H2020 #ECEMF...