eit_results_list.get_dv_from_df

eit_results_list.get_dv_from_df(data: DataFrame, verbose: bool = False, masked_time: bool = True, with_v_0: bool = False) → ndarray | MaskedArray

Extract differential EIT traces described by a CAP dataframe.

Parameters:

  • data (pd.DataFrame) – Table containing at least the line descriptors and CAP time bounds.

  • verbose (bool, optional) – If True, print extracted indices and array shapes.

  • masked_time (bool, optional) – If True, mask samples outside the (i_t_min, i_t_max) interval stored in data.

  • with_v_0 (bool, optional) – If True, also return the baseline voltage used for normalization.

Returns:

Differential EIT traces, optionally masked in time and optionally paired with the baseline voltage.

Return type:

np.ndarray | np.ma.MaskedArray | tuple