deeptime.plots

The plots package contains some plotting convenience utilities.

Diagnostic plots for Markovianity and resolving processes.

plot_implied_timescales(data[, n_its, ...])	Creates an implied timescales plot inside exising matplotlib axes.
plot_ck_test(data[, height, aspect, conf, ...])	Plot the Chapman Kolmogorov test.

Plotting two-dimensional landscapes.

plot_energy2d(energies[, ax, levels, ...])	Plot a two-dimensional energy surface.
Energy2dPlot(ax, contour[, colorbar])	The result of a plot_energy2d() call.
plot_contour2d_from_xyz(x, y, z[, n_bins, ...])	Plot a two-dimensional contour map based on an interpolation over unordered data triplets \((x, y)\mapsto z\).
plot_density(x, y[, n_bins, weights, ...])	Plot a two-dimensional contour map based on a histogram over unordered data \((x, y)\).

Plots depicting networks.

plot_adjacency(adjacency_matrix[, ...])	Plot an adjacency matrix.
plot_markov_model(msm[, pos, state_sizes, ...])	Network representation of MSM transition matrix.
plot_flux(flux[, state_sizes, flux_scale, ...])	Network representation of a reactive flux.
Network(adjacency_matrix, pos[, cmap, ...])	Plot of a network with nodes and arcs.