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Published September 15, 2022 | Version v1.6.0
Software Open

pyam: analysis and visualization of integrated-assessment and macro-energy scenarios

Authors/Creators

Description

Release v1.6.0 Highlights
  • Improved performance for writing data to xlsx
  • Support for filtering by model-scenario pairs with an index argument
  • Better integration with the IIASA Scenario Explorer database API
Dependency changes

PR #701 added xlsxwriter as a dependency for better performance.

Individual updates
  • #702 Migrate compute_bias() to compute module
  • #701 Add xlsxwriter as dependency to improve to_excel() performance
  • #699 Add filter options to IIASA API index(), meta() and properties() methods
  • #697 Add warning if IIASA API returns empty result
  • #696 Added ability to load preferentially from a local cache
  • #695 Remove unused meta levels during initialization
  • #688 Remove ixmp as optional dependency
  • #684 Use new IIASA-manager API with token refresh
  • #679 set_meta() now supports pandas.DataFrame as an argument
  • #674 Support filtering data by model-scenario pairs with the index argument to filter() and slice()

Notes

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

Files

IAMconsortium/pyam-v1.6.0.zip

Files (10.7 MB)

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Additional details

Related works

Is supplement to
https://github.com/IAMconsortium/pyam/tree/v1.6.0 (URL)