eit_forward_results.plot

eit_forward_results.plot(ax: Axes, which: str = 'v_eit', t=None, i_t: ndarray | int | None = None, i_e: ndarray | int | None = None, i_f: ndarray | int | None = None, i_p: ndarray | int | None = None, pc=False, xtype='t', **kwgs)[source]

Plot stored or interpolated EIT-related signals.

Parameters:

  • ax (matplotlib.axes.Axes) – Target axes.

  • which (str, optional) – Signal to plot. Supported values are "v_eit", "dv_eit", and "v_rec".

  • t (np.ndarray | None, optional) – Optional time vector used for interpolation.

  • i_t (np.ndarray | int | None, optional) – Indices selecting times, electrodes, frequencies, and patterns.

  • i_e (np.ndarray | int | None, optional) – Indices selecting times, electrodes, frequencies, and patterns.

  • i_f (np.ndarray | int | None, optional) – Indices selecting times, electrodes, frequencies, and patterns.

  • i_p (np.ndarray | int | None, optional) – Indices selecting times, electrodes, frequencies, and patterns.

  • pc (bool, optional) – For which="dv_eit", plot the percentage differential signal.

  • xtype (str, optional) – Use "t" for time on the x-axis or include "f" to plot against frequency.

  • **kwgs (dict) – Additional plotting arguments forwarded to plot_array().