With this release, Lilio now supports a safe and greedy mode for creating intervals and can infer data frequency. For more details, see overview below:
Changed
- Moved to ruff formatter instead of black (#70)
- Do import sorting with ruff instead of isort (#70)
- Option for "greedy" mode which creates an interval if any data is available within the time bound (#75)
map_to_datanow tries to infer the time bounds for the data, and uses those to determine which anchor years are valid (#75)- Tests for greedy and safe mode, including inferring data frequency (#75)
Fixed
- Fixed issue with calendar generation when the (rightmost) target period crossed into the new year (#70).
- Fixed issue with Pandas 2.2 where 'M' changed to 'ME' (#72)
- Fixed issue where pd.Interval now shows time where it is not wanted (#72). The issue was raised with Pandas ([#57748] pandas-dev/pandas#57748).
- Added tests for latest version of macos (with M1 chips) (#73)
- Fixed a bug in
map_to_datathat lead to anchor years being included when they should not have (#75)