capytaine.meshes.properties module¶
Helper functions to compute some properties of the mesh. Based on meshmagick <https://github.com/LHEEA/meshmagick> by François Rongère.
- capytaine.meshes.properties.clustering(faces: ndarray[Any, dtype[integer]]) List[ndarray[Any, dtype[integer]]][source]¶
Clustering of vertices per connected faces.
- Parameters:
faces (NDArray[np.integer]) – Mesh faces. Expecting a numpy array of shape N_faces x N_vertices_per_face.
- Returns:
Groups of connected vertices.
- Return type:
list[NDArray[np.integer]]
- capytaine.meshes.properties.compute_connectivity(mesh)[source]¶
Compute the connectivities of the mesh.
It concerns further connectivity than simple faces/vertices connectivities. It computes the vertices / vertices, vertices / faces and faces / faces connectivities.
Note
Note that if the mesh is not conformal, the algorithm may not perform correctly
TODO: The computation of boundaries should be in the future computed with help of VTK
- capytaine.meshes.properties.compute_faces_properties(mesh)[source]¶
Compute the faces properties of the mesh
- capytaine.meshes.properties.compute_radiuses(mesh, faces_centers)[source]¶
Compute the radiuses of the faces of the mesh.
The radius is defined here as the maximal distance between the center of mass of a cell and one of its points.
- capytaine.meshes.properties.connected_components(mesh)[source]¶
Returns a list of meshes that each corresponds to the a connected component in the original mesh. Assumes the mesh is mostly conformal without duplicate vertices.
- capytaine.meshes.properties.faces_in_group(faces: ndarray[Any, dtype[integer]], group: ndarray[Any, dtype[integer]]) ndarray[Any, dtype[bool]][source]¶
Identification of faces with vertices within group.
- Parameters:
faces (NDArray[np.integer]) – Mesh faces. Expecting a numpy array of shape N_faces x N_vertices_per_face.
group (NDArray[np.integer]) – Group of connected vertices
- Returns:
Mask of faces containing vertices from the group
- Return type:
NDArray[np.bool]