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

Release v1.4.0 Highlights

• Add colors used for IPCC AR6 WGIII scenario analysis
• Support scenario data with mixed 'year' and 'datetime' domain (beta)
• Add explicit support for Python 3.10

Following a change of the UNFCCC data inventory API (see pik-primap/unfccc_di_api#39), PR #647 updated the dependencies to require unfccc-di-api>=3.0.1.

PR #598 added support for mixed time-domains, i.e., where the time column has both integer and datetime items. As part of the changes, filtering an IamDataFrame with yearly data using arguments that are only relevant for the datetime-domain (e.g., month, hour, time) returns an empty IamDataFrame. Previously, this raised an error.

• #651 Pin pint<=0.18 as a quickfix for a regression in the latest release
• #650 Add IPCC AR6 WGIII colors to PYAM_COLORS
• #647 Pin unfccc-di-api to latest release
• #634 Better error message when initializing with invisible columns
• #598 Support mixed 'year' and 'datetime' domain