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Published December 19, 2022 | Version v1.7.0
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pyam: analysis and visualization of integrated-assessment and macro-energy scenarios

Description

Release v1.7.0 Highlights
  • Add a feature to compute (weighted) quantiles for scenario data
  • Implement a require_data() method for scenario validation
  • Remove 'xls' as by-default-supported file format to harmonize behavior with pandas
API changes

The method compute_bias() was removed; please use compute.bias() instead.

Dependency changes

Remove xlrd as a dependency; please install it explicitly for reading .xls files. Bump minimum version of pandas to v1.2.0 to support automatic engine selection.

Individual updates
  • #715 Add a require_data() method
  • #713 Informative error when using lists for filter by level, level now a forbidden column.
  • #709 Hotfix ops to support fillna=0
  • #708 Remove 'xls' as by-default-supported file format
  • #686 Add support for (weighted) quantile timeseries as df.compute.quantiles() with a tutorial

Notes

If you use this package, please cite the corresponding manuscript in Open Research Europe.

Files

IAMconsortium/pyam-v1.7.0.zip

Files (10.7 MB)

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Additional details

Related works

Is supplement to
https://github.com/IAMconsortium/pyam/tree/v1.7.0 (URL)