Xarray extension that provides indexes for selecting irregular, n-dimensional data.
Project description
# xoak
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Xoak is an Xarray extension that allows point-wise selection of irregular, n-dimensional data encoded in coordinates with an arbitrary number of dimensions.
It provides a built-in index adapter for [Scipy](https://docs.scipy.org/doc/scipy/reference/)’s cKDTree, as well as adapters for index structures implemented in these 3rd-party libraries (optional dependencies):
[Scikit-Learn](https://scikit-learn.org): BallTree and KDTree, which support various distance metrics.
[pys2index](https://github.com/benbovy/pys2index): S2PointIndex for efficient indexing of lat/lon point data, based on s2geometry.
Xoak also provides a mechanism for easily adding and registering custom index adapters.
## Install
Xoak can be installed using conda (or mamba):
`bash $ conda install xoak -c conda-forge `
or pip:
`bash $ python -m pip install xoak `
Xoak’s optional dependencies can be installed using conda:
`bash $ conda install scikit-learn pys2index -c conda-forge `
## Documentation
Documentation is hosted on ReadTheDocs: https://xoak.readthedocs.io/
## License
MIT License, see LICENSE file.
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