eit_results_list.mean
- eit_results_list.mean(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 mean signal 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 in the average.
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:
Mean value across the result axis.
- Return type:
np.ndarray