๐ Release v3.3 of our open-source Python package for scenario analysis and visualization of integrated-assessment & energy-systems models...
Highlights:
- A new method to compute shares from timeseries data
- Better integration with the #ixmp4 database ecosysystem
- Support for Python 3.14
The pyam package for scenario analysis is linked to the open-source #ixmp4 package for database management, which serves as the backbone for the #ScenarioExplorer apps developed and maintained by the #ScenarioServices team at the @iiasa.ac.at #Energy #Climate #Environment (ECE) program...
Github gist: Illustrative Python code for querying scenarios and projections from the SSP-Extensions ixmp4 platform hosted by IIASA ``` # Query scenario data from the SSP-Extensions ixmp4 platform as IamDataFrame # To avoid large queries, you can also filter by model, scenario or variable import pyam df = pyam.read_iiasa("ssp-extensions", region="World", ...) # To avoid large queries, you can also filter by model, scenario or variable # Explore the SSP-Extensions ixmp4 platform in more detail # You can use ixmp4 to connect to the database platform import ixmp4 platform = ixmp4.Platform("ssp-extensions") # For example, you can get a list of all "runs" (.e., scenarios or projections) platform.runs.tabulate() ... ```
I created a @github.com gist to illustrate how you can easily query timeseries from the #ixmp4 platform behind the #SSP-Extensions Explorer using #pyam_iamc...
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๐ gist.github.com/danielhuppma...
1| The #ScenarioServices team at #IIASA is hosting scenario databases for the #IPCC and #HorizonEurope projects. We are migrating to the a #opensource #ixmp4 database package, and #pyam_iamc now offers direct integration with platforms like the just-launched #SSP-Extensions Explorer!