A small class to create Gabriel Graphs
You can install GabrielGraph via pip:
pip install GabrielGraphTo install latest development version :
pip install git+https://github.com/GuignardLab/GabrielGraph.gitfrom gabrielgraph import build_gabriel_graph
import numpy as np
np.random.seed(0)
point_ids = np.arange(10)
point_positions = np.random.random((10, 3))
gg = build_gabriel_graph(point_ids, point_positions)
gg[0] # {1, 2, 3, 6, 7, 9}
gg = build_gabriel_graph(point_ids, point_positions, "adj-mat") # coo sparse array
gg = gg.todok() # to convert to dictionary of keys sparse array
gg[0, 1] # True
gg[0, 4] # FalseContributions are very welcome. Tests can be run with tox, please ensure the coverage at least stays the same before you submit a pull request.
Distributed under the terms of the MIT license, "GabrielGraph" is free and open source software
If you encounter any problems, please file an issue along with a detailed description.
This library was generated using Cookiecutter and a custom made template based on @napari's cookiecutter-napari-plugin template.