- libc6 (>= 2.17)
- libgomp1 (>= 4.9)
- python (<< 2.8)
- python (>= 2.7~)
- python-numpy (>= 1:1.14.3)
- python-numpy-abi9
- python:any (<< 2.8)
- python:any (>= 2.7.5-5~)
pykdtree is a kd-tree implementation for fast nearest neighbour search
in Python. The aim is to be the fastest implementation around for
common use cases (low dimensions and low number of neighbours) for
both tree construction and queries.
.
The implementation is based on scipy.spatial.cKDTree and libANN by
combining the best features from both and focus on implementation
efficiency.
.
The interface is similar to that of scipy.spatial.cKDTree except only
Euclidean distance measure is supported.
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Queries are optionally multithreaded using OpenMP.
.
This is the Python 2 version of the package.
Installed Size: 144.4 kB
Architectures: arm64 amd64