![]() ![]() If a “QGn” or “QG-n” option is not specified, None is returned. Of the hull only, and neither coplanarity nor degeneracy count Used as an index into ‘simplices’ to return the good (visible)įacets: simplices. Visible (n) or invisible (-n) from point n, where Good facets are defined as those that are Used with options that compute good facets, e.g. good ndarray of bool or NoneĪ one-dimensional Boolean array indicating which facets are ![]() If option “Qc” is not specified, this list is not computed. Triangulation due to numerical precision issues. Points are input points which were not included in the The nearest facets and nearest vertex indices. Indices of coplanar points and the corresponding indices of coplanar ndarray of int, shape (ncoplanar, 3) forming the hyperplane equation of the facet equations ndarray of double, shape (nfacet, ndim+1) The kth neighbor is opposite to the kth vertex. Indices of neighbor facets for each facet. ![]() neighbors ndarray of ints, shape (nfacet, ndim) I made a script in python with scipy.spatial ConvexHull for plot 8 points and plot a cube, the plot of the point cloud is ok, but the cube is not ok, because the code puts two lines going across the diagonal face of. Indices of points forming the simplical facets of the convex hull. I need to plot a 3D point cloud (number of points: N), then a convex hull (actually a polyhedron with N vertices) from the points. simplices ndarray of ints, shape (nfacet, ndim) Indices of points forming the vertices of the convex hull.įor 2-D convex hulls, the vertices are in counterclockwise order.įor other dimensions, they are in input order. vertices ndarray of ints, shape (nvertices,) show () Attributes points ndarray of double, shape (npoints, ndim)Ĭoordinates of input points. lw = 6 ) > convex_hull_plot_2d ( hull, ax = ax ) # may vary > plt. add_subplot ( 1, 1, 1 ) > for visible_facet in hull. Statistical functions for masked arrays ( K-means clustering and vector quantization ( ![]()
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