Xarray extension that provides indexes for selecting irregular, n-dimensional data.
Project description
xoak
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's cKDTree, as well as
adapters for index structures implemented in these 3rd-party libraries (optional
dependencies):
- Scikit-Learn:
BallTreeandKDTree, which support various distance metrics. - pys2index:
S2PointIndexfor efficient indexing of lat/lon point data, based ons2geometry.
Xoak also provides a mechanism for easily adding and registering custom index adapters.
Install
Xoak can be installed using conda (or mamba):
$ conda install xoak -c conda-forge
or pip:
$ python -m pip install xoak
Xoak's optional dependencies can be installed using conda:
$ 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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