btschwertfeger/python-cmethods: Release v1.0.0 🎉

⚠️ This release contains breaking changes. Please read the release notes carefully.

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/

• 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