Release v0.2.0 Highlights the filters argument in IamDataFrame.filter() has been deprecated pd.date_time now has experimental supported for time-related columns plots now support the official IPCC scenario color palatte native support for putting legends outside of plot axes dataframes can now be initialized with default values, making reading raw datasets easier Individual Updates #228 Update development environment creation instructions and make pandas requirement more specific #219 Add ability to query metadata from iiasa data sources #214 Tidy up requirements specifications a little #213 Add support for IPCC colors, see the new tutorial "Using IPCC Color Palattes" #212 Now natively support reading R-style data frames with year column...
Release v0.4.1 Summary This is a patch release to enable compatibility with pandas v1.0. It also add...
Part 2: Bug fixed that caused columns N valid week/weekend days to be omitted #747. Vignettes: Added...
Release v0.10.0 Highlights Refactor the plotting library for better UX and consistency with pandas,...
Release v0.7.0 Highlights Add new features for aggregating and downscaling timeseries data. Update ...
Release v0.3.0 Highlights Streamlined generation of quantitative metadata indicators from timeserie...
Release v0.11.0 Highlights Easily order data in the line plot feature. Add a module for reading dat...
Release v1.4.0 Highlights Add colors used for IPCC AR6 WGIII scenario analysis Support scenario dat...
Release v1.0.0 This is the first major release of the pyam package. The release coincides with the p...
Release v0.4.0 Highlights New feature: downscale regional timeseries data to subregions using a pro...
Release v0.8.0 Highlights Add a boxplot visualization feature to the plotting toolbox. Implement an...
Release v0.5.0 Highlights Improved feature for unit conversion using the pint package and the IAMco...
Release v0.9.0 Highlights Extend the data format to work with dimensionless variables (i.e., accept...
Release v0.6.0 Highlights Add feature to aggregate timeseries at sub-annual time resolution Refacto...
New features Introduced the RequiredDataValidator class which is used for validating that a given py...
Adds some miscellaneous improvements. Grouped plots now work better, see http://dmnfarrell.github.io...
Release v0.4.1 Summary This is a patch release to enable compatibility with pandas v1.0. It also add...
Part 2: Bug fixed that caused columns N valid week/weekend days to be omitted #747. Vignettes: Added...
Release v0.10.0 Highlights Refactor the plotting library for better UX and consistency with pandas,...
Release v0.7.0 Highlights Add new features for aggregating and downscaling timeseries data. Update ...
Release v0.3.0 Highlights Streamlined generation of quantitative metadata indicators from timeserie...
Release v0.11.0 Highlights Easily order data in the line plot feature. Add a module for reading dat...
Release v1.4.0 Highlights Add colors used for IPCC AR6 WGIII scenario analysis Support scenario dat...
Release v1.0.0 This is the first major release of the pyam package. The release coincides with the p...
Release v0.4.0 Highlights New feature: downscale regional timeseries data to subregions using a pro...
Release v0.8.0 Highlights Add a boxplot visualization feature to the plotting toolbox. Implement an...
Release v0.5.0 Highlights Improved feature for unit conversion using the pint package and the IAMco...
Release v0.9.0 Highlights Extend the data format to work with dimensionless variables (i.e., accept...
Release v0.6.0 Highlights Add feature to aggregate timeseries at sub-annual time resolution Refacto...
New features Introduced the RequiredDataValidator class which is used for validating that a given py...
Adds some miscellaneous improvements. Grouped plots now work better, see http://dmnfarrell.github.io...
Release v0.4.1 Summary This is a patch release to enable compatibility with pandas v1.0. It also add...
Part 2: Bug fixed that caused columns N valid week/weekend days to be omitted #747. Vignettes: Added...
Release v0.10.0 Highlights Refactor the plotting library for better UX and consistency with pandas,...