eit_forward_results.get_acap_t_ppt

eit_forward_results.get_acap_t_ppt(thr: float = 0.05, verbose: bool = False, store: Literal['default', 'overwrite', 'external'] = 'default', **kwgs) → DataFrame[source]

Build a dataframe describing CAP time windows for each acquisition line.

Note

This methods adds the following columns to the CAP Dataframe:

Dimensions	type	Description
line	`int`	Acquisition line index
i_res (Optional)	`int`	Results index in a `eit_results_list`
i_p (Optional)	`int`	Injection patern index for multipatern simulation
i_f	`int`	Frequency index
i_e	`int`	Electrode index
i_cap	`int`	CAP index
i_t_min	`int`	Min index in time vector
i_t_max	`int`	Max index in time vector
duration	`float`	CAP duration in ms

Parameters:

thr (float, optional) – Threshold forwarded to get_acap_mask().
verbose (bool, optional) – If True, print intermediate arrays used to build the table.
store (Literal["default", "overwrite", "external"], optional) – Storage policy for the resulting dataframe. "default" caches the first result, "overwrite" refreshes the cache, and "external" returns the dataframe without caching it.
**kwgs (dict) – Additional keyword arguments forwarded to get_acap_mask().

Returns:

One row per detected CAP segment and acquisition line.

Return type:

pd.DataFrame