Modules.ProbabilisticMarchingTetrahedra package

Submodules

Modules.ProbabilisticMarchingTetrahedra.probabilistic_marching_tetrahedra module

Modules.ProbabilisticMarchingTetrahedra.probabilistic_marching_tetrahedra.probabilistic_marching_tetrahedra(points, F, tetrahedra, isovalue, cross_prob=None, opacity='linear', cmap='viridis', plotter=None)

Visualize the probabilistic marching tetrahedra result using PyVista.

Parameters:

Fnp.ndarray

2D array of shape (n_points, n_ens) representing the scalar field with ensemble members.

tetrahedranp.ndarray

2D array of shape (n_tetrahedra, 4) representing the tetrahedralization of the points.

isovaluefloat

The isovalue for which to compute the isosurface.

cross_probnp.ndarray, optional

3D array of shape (n_x-1, n_y-1, n_z-1) with probabilities of isosurface presence in each cell. If None, it will be computed using probabilistic_marching_tetrahedra function.

opacitystr or list, optional

Opacity mapping for the volume rendering. Default is ‘linear’.

cmapstr, optional

Colormap for the volume rendering. Default is ‘viridis’.

Returns:

plotterpyvista.Plotter

The pyvista plotter with the visualized probabilistic isosurface.

Modules.ProbabilisticMarchingTetrahedra.probabilistic_marching_tetrahedra_stats module

Modules.ProbabilisticMarchingTetrahedra.probabilistic_marching_tetrahedra_vis module

Modules.ProbabilisticMarchingTetrahedra.probabilistic_marching_tetrahedra_vis.pyvista_probabilistic_marching_tetrahedra_vis(points, tetrahedra, isovalue, cross_prob=None, opacity='linear', cmap='viridis', plotter=None)

Visualize the probabilistic marching tetrahedra result using PyVista.

Parameters:

tetrahedranp.ndarray

2D array of shape (n_tetrahedra, 4) representing the tetrahedralization of the points.

isovaluefloat

The isovalue for which to compute the isosurface.

cross_probnp.ndarray, optional

3D array of shape (n_x-1, n_y-1, n_z-1) with probabilities of isosurface presence in each cell. If None, it will be computed using probabilistic_marching_tetrahedra function.

opacitystr or list, optional

Opacity mapping for the volume rendering. Default is ‘linear’.

cmapstr, optional

Colormap for the volume rendering. Default is ‘viridis’.

Returns:

plotterpyvista.Plotter

The pyvista plotter with the visualized probabilistic isosurface.

Module contents

ProbabilisticMarchingTetrahedra Module This module provides functionality for performing probabilistic marching tetrahedra on 3D datasets with uncertainty. It includes methods for calculating cell crossing probabilities and visualizing the results using pyvista.