TOOL
pyam – Analysis and Visualization of Assessment Models
- Geographical scope:National and Global
- Institution(s):IIASA and the pyam developer team (see pyam website)
- Users:Scientists, Policy analysts
- Link:https://pyam-iamc.readthedocs.io/en/latest/
- Referent:Daniel Huppmann
The open-source Python package pyam provides a suite of tools and functions for analyzing and visualizing input data (i.e., assumptions/parametrization) and results (model output) of integrated-assessment scenarios, energy systems analysis, and sectoral studies.
Key features:
- Simple analysis of timeseries data in the IAMC format (more about it here)
with an interface similar in feel & style to the widely usedpandas.DataFrame- Advanced visualization and plotting functions (see the gallery)
- Features for scripted validation & processing of scenario data and results
The source code for pyam is available on Github.
