pyemma.plots.plot_implied_timescales

pyemma.plots.plot_implied_timescales(ITS, ax=None, outfile=None, xlog=False, ylog=True, confidence=0.95, refs=None)

Generate a pretty implied timescale plot

Parameters:

• ITS (implied timescales object.) – Object whose data will be plotted. Must provide the functions: get_timescales() and get_timescales(i) where i is the the property samples_available
• ax (matplotlib Axes object, optional, default = None) – the axes to plot to. When set to None the default Axes object will be used.
• outfile (str, optional, default = None) – output file to write the figure to. When not given, the plot will be displayed
• xlog (bool, optional, default = False) – Iff true, the x-Axis is logarithmized
• ylog (bool, optional, default = True) – Iff true, the y-Axis is logarithmized
• confidence (float, optional, default = 0.95) – The confidence interval for plotting error bars (if available)
• refs (ndarray((m), dtype=float), optional, default = None) – Reference (exact solution or other reference) timescales if known. The number of timescales must match those in the ITS object

Returns:

ax

Return type:

Axes object containing the plot