⚠️ This release contains breaking changes. Please read the release notes carefully. What is included in python-cmethods v1.0.0? The following bias correction methods are available: Scaling-based techniques: Linear Scaling cmethods.CMethods.linear_scaling (additive and multiplicative) Variance Scaling cmethods.CMethods.variance_scaling (additive) Delta (change) Method cmethods.CMethods.delta_method (additive and multiplicative) Distribution-based techniques: Quantile Mapping cmethods.CMethods.quantile_mapping (additive and multiplicative) Quantile Delta Mapping cmethods.CMethods.quantile_delta_mapping (additive and multiplicative) A new documentation at: https://python-cmethods.readthedocs.io/en/stable PyPI: https://pypi.org/project/python-cmethods/ What's Changed All bias correction techniques that are applied on 1-dimensional time-series now return the data type np.array. Only the adjust_3d function still returns the data type xarray.core.dataarray.DataArray. Moved the content of CMethods.py to __init__.py and adjusted the imports in https://github.com/btschwertfeger/python-cmethods/pull/14 Create the documentation in https://github.com/btschwertfeger/python-cmethods/pull/13 Move from setup.py to pyproject.toml in https://github.com/btschwertfeger/python-cmethods/pull/11 Improved workflows - adding release workflow in https://github.com/btschwertfeger/python-cmethods/pull/12 fixed the zero-dimension bug in Variance Scaling Extended the examples and added an executable script named biasadjust.py that accepts command-line arguments to bias-adjust time-series climate data based on the passed inputs in https://github.com/btschwertfeger/python-cmethods/pull/15 Full Changelog: https://github.com/btschwertfeger/python-cmethods/compare/v0.6.3...v1.0.0