pylipid.plot.plot_koff

pylipid.plot.plot_koff(durations, delta_t_list, survival_rates, n_fitted, survival_rates_bootstraps=None, fig_fn=None, title=None, timeunit=None, text=None, t_total=None, fig_close=True)[source]

Plot the koff figure.

The koff figure contains two axes. The left axis plot the sorted interaction durations, and the right one plot normalised survival rates, the fitted bi-exponenial curve and the bootstrapped survival rates.

Parameters

  • durations (array_like) – A list of contact durations

  • delta_t_list (array_like) – A list of \(\Delta t\) at which the survival rates are calculated.

  • survival_rates (array_like) – Survival rates calculated at delta_t_list.

  • n_fitted (array_like) – The values of fitted bi-exponential at delta_t_list.

  • survival_rates_bootstraps (list of array, optional, default=None) – A list of bootstrapped survival rates.

  • fig_fn (str, optional, default=None) – Name of the koff figure. by default the figure will be saved as “koff.png” in the current working directory.

  • title (str, optional, default=None) – Figure title. Default is None.

  • t_total (scalar, optional, default=None) – Duration of simulation trajectories. The xlim of both axes will set to t_total if a value is given, otherwise xlim will be determined by matplotlib.

  • timeunit ({"ns", "us", None}, optional, default=None) – Time unit of the given durations. Default is None.

  • text (str, optional, default=None) – Text printed next to the koff figure. The default is None.