LoopStructural.datatypes.Surface

class LoopStructural.datatypes.Surface(vertices: numpy.ndarray = <factory>, triangles: numpy.ndarray = <factory>, colour: Union[str, numpy.ndarray, NoneType] = <factory>, normals: Optional[numpy.ndarray] = None, name: str = 'surface', values: Optional[numpy.ndarray] = None, properties: Optional[dict] = None, cell_properties: Optional[dict] = None)

Bases: object

__init__(vertices: ~numpy.ndarray = <factory>, triangles: ~numpy.ndarray = <factory>, colour: str | ~numpy.ndarray | None = <factory>, normals: ~numpy.ndarray | None = None, name: str = 'surface', values: ~numpy.ndarray | None = None, properties: dict | None = None, cell_properties: dict | None = None) → None

Methods

__init__([vertices, triangles, colour, ...])
from_dict(d[, flatten])
plot([pyvista_kwargs])	Calls pyvista plot on the vtk object
remove_nan_vertices()	Remove vertices with NaN values from the surface.
save(filename, *[, group, replace_spaces, ext])
to_dict([flatten])
vtk()

Attributes

cell_properties
name
normals
properties
triangle_area	_summary_
triangle_normal	_summary_
values
vertices
triangles
colour

plot(pyvista_kwargs={})

Calls pyvista plot on the vtk object

Parameters:

pyvista_kwargs (dict, optional) – kwargs passed to pyvista.DataSet.plot(), by default {}

remove_nan_vertices()

Remove vertices with NaN values from the surface. Also removes any triangles that reference these vertices. This modifies the vertices and triangles in place. Any associated properties are also updated.

property triangle_area

_summary_

Returns:

_type_ – _description_

Notes

Area of triangle for a 3d triangle with vertices at points A, B, C is given by det([A-C, B-C])**.5

property triangle_normal: ndarray

_summary_

Returns:

np.ndarray – numpy array of normals N,3 where N is the number of triangles

Notes

The normal of a triangle is given by the cross product of two vectors in the plane of the triangle