scipy.spatial.Delaunay.find_simplex¶
- Delaunay.find_simplex(self, xi, bruteforce=False, tol=None)¶
Find the simplices containing the given points.
- Parameters
- triDelaunayInfo
Delaunay triangulation
- xindarray of double, shape (…, ndim)
Points to locate
- bruteforcebool, optional
Whether to only perform a brute-force search
- tolfloat, optional
Tolerance allowed in the inside-triangle check. Default is
100*eps.
- Returns
- indarray of int, same shape as xi
Indices of simplices containing each point. Points outside the triangulation get the value -1.
Notes
This uses an algorithm adapted from Qhull’s
qh_findbestfacet, which makes use of the connection between a convex hull and a Delaunay triangulation. After finding the simplex closest to the point in N+1 dimensions, the algorithm falls back to directed search in N dimensions.