pymovements.events.fill#
- pymovements.events.fill(events: EventDataFrame, timesteps: list[int] | np.ndarray, minimum_duration: int = 1, name: str = 'unclassified') EventDataFrame #
Classify all previously unclassified timesteps as events.
- Parameters:
events (EventDataFrame) – 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 EventDataFrame. (default: ‘unclassified’)
- Returns:
A dataframe with detected fixations as rows.
- Return type: