ConDelTri: Constrained Delaunay Triangulation
This is a rebranded fork of PythonCDT by Leica Geosystems, maintained by Artem Amirkhanov.
Python bindings for CDT: C++ library for constrained Delaunay triangulation implemented with pybind11
Installation
pip install condeltri
Or:
conda install --channel=conda-forge condeltri
Usage
import numpy as np
import condeltri as cdt
t = cdt.Triangulation(cdt.VertexInsertionOrder.AUTO, cdt.IntersectingConstraintEdges.TRY_RESOLVE, 0.0)
t.insert_vertices(np.array([[0.0, 0.0], [1.0, 0.0], [0.0, 1.0], [1.0, 1.0]]))
t.insert_edges(np.array([[0, 3]], dtype=np.uintc))
t.erase_super_triangle()
vertices = t.vertices_array() # structured array with fields 'x' and 'y'
triangles = t.triangles_array() # structured array with fields 'vertices' and 'neighbors'
triangles["vertices"] # (T, 3) vertex indices into vertices
vertices_array() and triangles_array() return copies by default. Pass copy=False for read-only views without copying. A view becomes invalid after any call that changes the triangulation. Vertex and edge input arrays must be C-contiguous with shape (N, 2) or (2N,).
Threads
Triangulation work releases Python's GIL, so separate triangulations can run in parallel on Python threads. Calls on one triangulation wait for each other. Iterators (*_iter()) and copy=False views are not protected while another thread changes the triangulation.
License
Mozilla Public License, v. 2.0
Contributors
- SioulisChris: fixing the tests on Windows
1 maintainer
Metadata
1 maintainer
Release files for condeltri 0.0.6
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