scipy.spatial.Delaunay

class scipy.spatial.Delaunay(points)

Delaunay tesselation in N dimensions

New in version 0.9.

Parameters :

points : ndarray of floats, shape (npoints, ndim)

Coordinates of points to triangulate

Notes

The tesselation is computed using the Qhull libary [Qhull].

References

[Qhull](1, 2, 3, 4) http://www.qhull.org/

Attributes

transform
vertex_to_simplex
convex_hull
points ndarray of double, shape (npoints, ndim) Points in the triangulation
vertices ndarray of ints, shape (nsimplex, ndim+1) Indices of vertices forming simplices in the triangulation
neighbors ndarray of ints, shape (nsimplex, ndim+1) Indices of neighbor simplices for each simplex. The kth neighbor is opposite to the kth vertex. For simplices at the boundary, -1 denotes no neighbor.
equations ndarray of double, shape (nsimplex, ndim+2) [normal, offset] forming the hyperplane equation of the facet on the paraboloid. (See [Qhull] documentation for more.)
paraboloid_scale, paraboloid_shift float Scale and shift for the extra paraboloid dimension. (See [Qhull] documentation for more.)

Methods

find_simplex
lift_points
plane_distance

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