Reducing material requirements while decarbonising the Spanish economy: from a green growth to a postgrowth paradigm
Publication
We present a new tool which aims to fill the current gaps in the IAM toolbox: an open-source analysis and visualization library named pyam (Matthew J. Gidden & Huppmann, 2018). pyam has been designed since its inception following known best practices in scientific software development, including automatic documentation, unit testing,
We present a new tool which aims to fill the current gaps in the IAM toolbox: an open-source analysis and visualization library named pyam (Matthew J. Gidden & Huppmann, 2018). pyam has been designed since its inception following known best practices in scientific software development, including automatic documentation, unit testing, and continuous integration. At its core, pyam is a tool that enables researchers to easily explore, categorize, and visualize scenario data such as the scenario ensembles assessed by the IPCC. Such exploration is enabled via a pandas. DataFrame-style interface using a composition design pattern while maintaining sidecar metadata in a single pyam.IamDataFrame object.