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Triangulationt DuplicatePointWarningc B s e Z d Z RS( sB Duplicate points were passed in to the triangulation routine.
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__module__t __doc__( ( ( sE /usr/lib64/python2.6/site-packages/matplotlib/delaunay/triangulate.pyR s c B s€ e Z d Z d „ Z d „ Z d „ Z e i d „ Z e i d „ Z d
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d „ Z RS( sw A Delaunay triangulation of points in a plane.
Triangulation(x, y)
x, y -- the coordinates of the points as 1-D arrays of floats
Let us make the following definitions:
npoints = number of points input
nedges = number of edges in the triangulation
ntriangles = number of triangles in the triangulation
point_id = an integer identifying a particular point (specifically, an
index into x and y), range(0, npoints)
edge_id = an integer identifying a particular edge, range(0, nedges)
triangle_id = an integer identifying a particular triangle
range(0, ntriangles)
Attributes: (all should be treated as read-only to maintain consistency)
x, y -- the coordinates of the points as 1-D arrays of floats.
circumcenters -- (ntriangles, 2) array of floats giving the (x,y)
coordinates of the circumcenters of each triangle (indexed by a
triangle_id).
edge_db -- (nedges, 2) array of point_id's giving the points forming
each edge in no particular order; indexed by an edge_id.
triangle_nodes -- (ntriangles, 3) array of point_id's giving the points
forming each triangle in counter-clockwise order; indexed by a
triangle_id.
triangle_neighbors -- (ntriangles, 3) array of triangle_id's giving the
neighboring triangle; indexed by a triangle_id.
The value can also be -1 meaning that that edge is on the convex hull of
the points and there is no neighbor on that edge. The values are ordered
such that triangle_neighbors[tri, i] corresponds with the edge
*opposite* triangle_nodes[tri, i]. As such, these neighbors are also in
counter-clockwise order.
hull -- list of point_id's giving the nodes which form the convex hull
of the point set. This list is sorted in counter-clockwise order.
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t | i | i ƒ \ | _ | _ | _ | _ | i ƒ | _ d S( Nt dtypei s# x,y must be equal-length 1-D arrayssB Input data contains duplicate x,y points; some values are ignored.( t npt asarrayt float64t xt yt shapet lent
ValueErrort old_shapet _collapse_duplicate_pointst warningst warnR t j_uniquet NoneR t
circumcenterst edge_dbt triangle_nodest triangle_neighborst _compute_convex_hullt hull( t selfR R
R ( ( sE /usr/lib64/python2.6/site-packages/matplotlib/delaunay/triangulate.pyt __init__A s 2 -c C sk t i d | i | i f ƒ } t i t t i | i | ƒ d j t i | i | ƒ d j Bg ƒ } | | S( s› Generate index array that picks out unique x,y points.
This appears to be required by the underlying delaunay triangulation
code.
t keysi ( R t lexsortR R
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