pihnn.graphics

Script for results plotting.

Functions

get_triangulation(boundary[, n_points_interior, ...])	Create a 2D mesh/triangulation from the definition of geometry. Useful for pihnn.graphics.plot_sol().
single_plot(triangulation, z, levels[, title, cmap])	Single contour plot. Used by the other functions in this module.
plot_loss(loss_train, loss_test[, figsize, format, dir])	Plot of the training and test loss.
plot_sol(triangulation, model[, model_true, format, ...])	Plot of the solution from the training of the network. This can be graphically compared with a reference solution (either numerical or analytical).
plot_scalar(triangulation, model[, model_true, ...])	Specialization of pihnn.graphics.plot_sol for the Laplace and biharmonic problems.
plot_stresses(triangulation, model[, model_true, ...])	Specialization of pihnn.graphics.plot_sol for the linear elasticity problem.
plot_training_points(boundary[, format, dir, figsize, ...])	Generates a plot of the current batch of training points with some information regarding the boundary conditions and the domain (the latter, only for DD-PIHNNs).
plot_dem(model, crack, tip, max_distance[, n_points, ...])	Calculate and plot stress intensity factors (SIFs) from displacement extrapolation method (DEM).