#release pyam v1.7.0 - Computing quantiles of scenario ensembles #release
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Daniel Huppmann
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 require_data() method for streamlined scenario validation - Remove 'xls' as by-default-supported file format to harmonize behavior with pandas (but you can still use it, of course*) [* simply install the package xlrd manually] # API changes The method compute_bias() was removed; please use compute.bias() instead. # Dependency changes This release removes xlrd as a required dependency; please install it explicitly for reading .xls files. Please bump the minimum version of pandas to v1.2.0 to support automatic engine selection. # Known issues The latest release of the numpy package has some issues with the plotting library. For the time being, please stick with numpy<1.24. # 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 International Institute for Applied Systems Analysis Schlossplatz 1, A-2361 Laxenburg, Austria | www.iiasa.ac.at
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