fill#
- pymovements.events.detection.fill(events: Events, timesteps: list[int] | np.ndarray, minimum_duration: int = 1, name: str = 'unclassified') Events [source]#
Classify all previously unclassified timesteps as events.
- Parameters:
events (Events) – The already detected events.
timesteps (list[int] | np.ndarray) – shape (N, ) Continuous 1D timestep time series.
minimum_duration (int) – Minimum fixation duration. The duration is specified in the units used in
timesteps
. (default: 1)name (str) – Name for detected events in Events. (default: ‘unclassified’)
- Returns:
A dataframe with detected fixations as rows.
- Return type: