pyemma.plots.plot_cktest

pyemma.plots.plot_cktest(cktest, figsize=None, diag=False, y01=True, layout=None, padding_between=0.1, padding_top=0.075, units='steps', dt=1.0)

Plot of Chapman-Kolmogorov test

cktest : msm.ChapmanKolmogorovValidator

Chapman-Kolmogorov Test

figsize : shape, default=(10, 10)

Figure size

diag : bool, default=False

Plot only diagonal elements of the test, i.e. self-transition probabilities.

y01 : bool, default=True

Scale all y-Axes to [0,1]. If True, the y-Axes can be shared and the figure is tighter. If False, each y Axis will be scaled automatically.

layout : str or shape or None, default=None

Organization of subplots. You can specify your own shape. If None, an automatic shape will be selected. Use ‘wide’ for plots that span the page width (double-column figures) and ‘tall’ for single-column figures.

padding_between : float, default=0.1

padding space between subplots (as a fraction of 1.0)

padding_top : float, default=0.05

padding space on top of subplots (as a fraction of 1.0)