trimesh.path.traversal¶
Classes

Functions

Paths are lists of entity indices. 

Turn a list of entity indices into a path of connected points. 

Given a path along (n,d) points, resample them such that the distance traversed along the path is constant in between each of the resampled points. 

Split a Path2D into multiple Path2D objects where each one has exactly one root curve. 

Given a set of entity objects generate a networkx.Graph that represents their vertex nodes. 

Convert a path of vertex indices to a path of entity indices. 

class
trimesh.path.traversal.
PathSample
(points)¶ Bases:
object
Methods
sample
(distances)truncate
(distance)Return a truncated version of the path.

sample
(distances)¶

truncate
(distance)¶ Return a truncated version of the path. Only one vertex (at the endpoint) will be added.


trimesh.path.traversal.
closed_paths
(entities, vertices)¶ Paths are lists of entity indices. We first generate vertex paths using graph cycle algorithms, and then convert them to entity paths.
This will also change the ordering of entity.points in place so a path may be traversed without having to reverse the entity.
 Parameters
entities ((n,) entity objects) – Entity objects
vertices ((m, dimension) float) – Vertex points in space
 Returns
entity_paths – Ordered traversals of entities
 Return type
sequence of (n,) int

trimesh.path.traversal.
discretize_path
(entities, vertices, path, scale=1.0)¶ Turn a list of entity indices into a path of connected points.
 Parameters
entities ((j,) entity objects) – Objects like ‘Line’, ‘Arc’, etc.
vertices ((n, dimension) float) – Vertex points in space.
path ((m,) int) – Indexes of entities
scale (float) – Overall scale of drawing used for numeric tolerances in certain cases
 Returns
discrete – Connected points in space that lie on the path and can be connected with line segments.
 Return type
(p, dimension) float

trimesh.path.traversal.
resample_path
(points, count=None, step=None, step_round=True)¶ Given a path along (n,d) points, resample them such that the distance traversed along the path is constant in between each of the resampled points. Note that this can produce clipping at corners, as the original vertices are NOT guaranteed to be in the new, resampled path.
ONLY ONE of count or step can be specified Result can be uniformly distributed (np.linspace) by specifying count Result can have a specific distance (np.arange) by specifying step
 Parameters
points ((n, d) float) – Points in space
count (int,) – Number of points to sample evenly (aka np.linspace)
step (float) – Distance each step should take along the path (aka np.arange)
 Returns
resampled – Points on the path
 Return type
(j,d) float

trimesh.path.traversal.
split
(self)¶ Split a Path2D into multiple Path2D objects where each one has exactly one root curve.
 Parameters
self (trimesh.path.Path2D) – Input geometry
 Returns
split – Original geometry as separate paths
 Return type
list of trimesh.path.Path2D

trimesh.path.traversal.
vertex_graph
(entities)¶ Given a set of entity objects generate a networkx.Graph that represents their vertex nodes.
 Parameters
entities (list) – Objects with ‘closed’ and ‘nodes’ attributes
 Returns
graph (networkx.Graph) – Graph where node indexes represent vertices
closed ((n,) int) – Indexes of entities which are ‘closed’

trimesh.path.traversal.
vertex_to_entity_path
(vertex_path, graph, entities, vertices=None)¶ Convert a path of vertex indices to a path of entity indices.
 Parameters
vertex_path ((n,) int) – Ordered list of vertex indices representing a path
graph (nx.Graph) – Vertex connectivity
entities ((m,) list) – Entity objects
vertices ((p, dimension) float) – Vertex points in space
 Returns
entity_path – Entity indices which make up vertex_path
 Return type
(q,) int