forum@pyam.groups.io

#release pyam v1.6.0 - Faster xlsx-writing and better IIASA-API integration #release

Dear pyam user community, My colleague Philip Hackstock looked into a few performance issues and found a way to improve speed and memory usage when writing to xlsx spreadsheets. This can be quite usef

Dear pyam user community, My colleague Philip Hackstock looked into a few performance issues and found a way to improve speed and memory usage when writing to xlsx spreadsheets. This can be quite useful for you when you are processing larger files. So we’re happy to announce a new release v1.6 of the pyam package! # Highlights of the new release - Improved performance for writing data to xlsx spreadsheets - Better integration with the IIASA Scenario Explorer database API - Support for filtering by model-scenario pairs with an index argument # Skills Workshop at the ECEMEP 2022 Philip will also do a Skills Workshop at the ECEMEP 2022 conference (Thursday October 6, 9:00-10:30 CEST) - maybe useful if you didn’t have a chance yet to try out pyam in detail, or if you would like to see more of its features in practice for scenario analysis, visualization and computation of derived variables or indicators. Sign up for the conference at https://ecemp2022.b2match.io. # Join the Slack workspace? If you want to ask questions or read tips-and-tricks from time to time on how to use pyam more effectively in your scenario analysis or data-viz work, maybe consider joining our Slack workspace? For more information, please read the full release notes... Best regards, Daniel — Dr. Daniel HUPPMANN Research Scholar Coordinator of the Research Theme „Scenario Services & Scientific Software" Energy, Climate, and Environment (ECE) Program email: huppmann@...: www.iiasa.ac.at/staff/daniel-huppmann Twitter: @daniel_huppmann International Institute for Applied Systems Analysis Schlossplatz 1, A-2361 Laxenburg, Austria | www.iiasa.ac.at

By Daniel Huppmann ·

#release pyam v1.7.0 - Computing quantiles of scenario ensembles #release

Dear pyam user community, I’m happy to announce a new release v1.7 of the pyam package! # Highlight - Add a feature to compute (weighted) quantiles for scenario data - see this tutorial! - Implement a

By Daniel Huppmann ·

Issues with the IIASA database API

Dear pyam users, We are currently experiencing problems with the IIASA database API. This might be due to a failing redirect to our new user management system. This issue affects database API connecti

By Daniel Huppmann ·

Update to the Scenario Explorer passwords required

Dear pyam users, This message is relevant if you are using pyam to query data directly from any IIASA Scenario Explorer database. If you didn’t know that you could do that, check out this tutorial...

By Daniel Huppmann ·

Update to the IIASA Scenario Explorer passwords

Dear pyam community, This is relevant if you are using pyam to query data directly from an IIASA Scenario Explorer database… (if you didn’t know you can do that, check out this tutorial). We are const

By Daniel Huppmann ·

#release pyam v1.5.0 - The IamSlice class #release

Dear pyam user community, Happy to announce a new release v1.5 of the pyam package! # Highlight This release introduces an IamSlice class that allows faster filtering and inspection of an IamDataFrame

By Daniel Huppmann ·

#release pyam v1.4.0 - IPCC AR6 WG3 color palette & Python 3.10 #release

Dear pyam user community, A few days ago, the IPCC WG3 released its contribution to the Sixth Assessment report (AR6), including a public ensemble of scenarios and pathways supporting quantitative sta

By Daniel Huppmann ·

#release pyam v1.3.1 - compatibility patch #release

Dear pyam user community, Happy to announce a new patch release v1.3.1 of the pyam package! # Incompatibility with pandas v1.4 fixed Jonas Hörsch implemented a fix for the incompatibility with the jus

By Daniel Huppmann ·

#release pyam v1.3.0 - a "compute" module for derived indicators #release

Dear pyam user community, Happy to announce a new release v1.3 of the pyam package! # Highlight A compute module and new functions to easily derive advanced indicators from any timeseries data in the

By Daniel Huppmann ·

#question Upload scenarios to the scenario explorer via pyam 3 #question

Dear pyam group, is there any possibility to upload scenarios to the scenario explorer directly via pyam or do I have to upload it manually via the website? I heard that there is supposed to be some f

By mayrhofer@... ·

#release pyam v1.2.0 - faster package, published manuscript #release

Dear pyam user community, happy to announce a new release v1.2 of the pyam package! The new release has some improvements „under the hood“, aiming to make the package faster when reading large data fi

By Daniel Huppmann ·

#release pyam v1.1.0 - consistency with IPCC AR6 WG1 color palette #release

Hello pyam community, To ensure consistency with the just-released IPCC AR6 WG1 report, there is a new release that makes some minor adjustments to the AR6 color palette embedded in pyam - so that you

By Daniel Huppmann ·

timeseries data: calculate differences between two scenarios 3 #question

Hi everybody, how do I calculate differences between two scenarios , e.g. ``Difference = CO2 emissions of scenario A - CO2 emissions of scenario B`` ? I guess it should work with the ``subtract`` func

By m.haller ·

#release pyam v0.12.0 - Algebraic operations directly on IamDataFrame timeseries #release

Dear pyam user community, happy to announce a new release v0.12.0 of the pyam package! Sneak preview A manuscript describing the pyam package was just accepted in Open Research Europe, a new open-acce

By Daniel Huppmann ·

#release pyam v0.11.0 - Connection to UNFCCC Data inventory and under-the-hood performance improvements #release

Dear pyam user community, happy to announce a new release v0.11.0 of the pyam package! Highlights of the new release: Easily order data in the line-plot feature. Add a module for reading data from the

By Daniel Huppmann ·

#release pyam v0.10.0 - An improved plotting library & out-of-the-box sankey diagrams #release

Dear pyam user community, Happy to announce a new release v0.10.0 of the pyam package! Check out the detailed release notes on GitHub. Highlights of the new release: # Add an out-of-the-box Sankey dia

By Daniel Huppmann ·

Using pyam out in the wild...

Dear pyam user community, The past weeks have seen quite some activity in the pyam GitHub repo, with several new colleagues starting to contribute! A shout-out to Jonas and Maik in particular - this i

By Daniel Huppmann ·

Importing hourly resolved data 2 #question

Dear pyam-Group, I'm having a question about how to best import hourly resolved timeseries, e.g. for energy consumption of different sectors. My goal is to read the data, be able to aggregate each tim

By patrick.juergens@... ·

#release pyam v0.8.0 - Boxplot visualization, World Bank data API, GAMS integration, ... #release

Dear pyam user community, Happy to announce a new release v0.8.0 of the pyam package! Check out the detailed release notes on GitHub. Highlights of the new release: # Add an out-of-the-box boxplot vis

By Daniel Huppmann ·

Refactoring of the pyam data backend

Dear users of the pyam package, We have been working over the past weeks to refactor the data backend of pyam to improve performance: increase speed and reduce memory usage. Because this was quite a m

By Daniel Huppmann ·