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_kwargs)

Plot of Chapman-Kolmogorov test

Parameters:

• 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)
• **plot_kwargs (optional keyword arguments for the matplotlib.pylab.plot() call) – The user is allowed to choose values like marker=’x’, linewidth=3 etc. Note that ‘linestyle’ and ‘color’ are defaults and cannot be changed using plot_kwargs

Returns:

• fig (Figure object)
• axes (Axis objects with subplots)