Version 2.2.0-beta.1

Adds a framework for applying filters to aggregated data in TrendAnalysis. For full details see the change log.

Version 2.1.4

This patch includes two bug fixes:

• Fixes an error from degradation_year_on_year() for datasets that are exactly 2 years long
• soiling_interval_plot() no longer ignores some optional parameters.

For full details see the change log

Version 2.2.0-beta.0

This release includes several new enhancements:

• Detailed degradation summary plot
• Degradation time series plot for assessing non-linear degradation
• The Combined estimation OF Degradation and Soiling (CODS) algorithm implemented in the soiling module.

For full details, please see the change log

Version 2.1.3

What's Changed

• Drop python 3.6
• Add python 3.10
• Fixed a plotting issue in plotting.availability_summary_plots() with newer matplotlib versions, as well as an axis labeling error
• Full Change log

All Changes: 2.1.2...2.1.3

Version 2.1.2

What's Changed

• Change XGBoost model to version-stable json
• Change recommended citation
• For details see the change log

All Changes: 2.1.1...2.1.2

Version 2.1.1

This patch release temporarily requires xgboost < 1.5.0. A future update will allow a wider version range. (#301, #297 )

Version 2.1.0

This update includes changes to the experimental soiling functions, as well as a host of added functionality including the full release of an object oriented end-to-end analysis API and new algorithms for clipping detection and filtering. See the changelog for full details.

Version 2.0.6

Improves compatibility with pandas 1.3.0 and updates specified example environment. For full details please see the change log.

Version 2.1.0-beta.2

This incorporates changes from Version 2.0.5 into the development branch. See the change log for details.

Version 2.0.5

This patch adds formal support for Python 3.9, and makes improvements to documentation and testing. See the change log for full details.