eit_results_list.std

eit_results_list.std(which='v_eit', i_res=None, 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, **kwgs)[source]

Compute the standard deviation across the selected results.

Parameters:

  • which (str, optional) – Signal family forwarded to get_res().

  • i_res (np.ndarray | int | None, optional) – Result indices to include.

  • t (np.ndarray | float | None, optional) – Evaluation times used for interpolation.

  • i_t (np.ndarray | int | None, optional) – Time, electrode, frequency, and pattern indices.

  • i_e (np.ndarray | int | None, optional) – Time, electrode, frequency, and pattern indices.

  • i_f (np.ndarray | int | None, optional) – Time, electrode, frequency, and pattern indices.

  • i_p (np.ndarray | int | None, optional) – Time, electrode, frequency, and pattern indices.

  • **kwgs (dict) – Additional keyword arguments forwarded to get_res().

Returns:

Standard deviation across the result axis.

Return type:

np.ndarray