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IAMC

Tool

pyam – Analysis and Visualization of Assessment Models

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

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 used pandas.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.

Watch the intro video

Article: pyam: Analysis and visualisation of integrated assessment and macro-energy scenarios

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