find_closest_nodes Module

defines:
  • nids_close = find_closest_nodes(nodes_xyz, nids, xyz_compare, neq_max, tol)

  • ieq = find_closest_nodes_index(nodes_xyz, xyz_compare, neq_max, tol)

pyNastran.bdf.mesh_utils.find_closest_nodes.find_closest_nodes(nodes_xyz: Any, nids: Any, xyz_compare: Any, neq_max: int = 1, tol: float | None = None, msg: str = '') Any[source]

Finds the closest nodes to an arbitrary set of xyz points

Parameters:
nodes_xyz(Nnodes, 3) float ndarray

the source points (e.g., xyz_cid0)

nids(Nnodes, ) int ndarray

the source node ids (e.g.; nid_cp_cid[:, 0])

xyz_compare(Ncompare, 3) float ndarray

the xyz points to compare to; xyz_to_find

tolfloat; default=None

the max spherical tolerance None : the whole model

neq_maxint; default=1

the number of “close” points

msgstr; default=’’

custom message used for errors

Returns:
nids_close: (Ncompare, ) int ndarray

the close node ids

pyNastran.bdf.mesh_utils.find_closest_nodes.find_closest_nodes_index(nodes_xyz: Any, xyz_compare: Any, neq_max: int, tol: float, msg: str = '')[source]

Finds the closest nodes to an arbitrary set of xyz points

Parameters:
nodes_xyz(Nnodes, 3) float ndarray

the source points

xyz_compare(Ncompare, 3) float ndarray

the xyz points to compare to

neq_maxint

the number of “close” points (default=4)

tolfloat

the max spherical tolerance

msgstr; default=’’

error message

Returns:
slots(Ncompare, ) int ndarray

the indices of the close nodes corresponding to nodes_xyz

pyNastran.bdf.mesh_utils.find_closest_nodes.get_y_mirrored_nodes(model: BDF, nids: np.ndarray, neq_max: int = 10, tol: float = 0.0001) dict[int, int][source]

find the nodes mirrored about the y=0 / xz plane