pyeeg.utils.rolling_func
- pyeeg.utils.rolling_func(func, data, winsize=2, overlap=1, padding=True)
Apply a function on a rolling window on the data.
The data is first chunked into (overlapping) windows with
chunk_data(), thenfuncis applied to each window along the channel dimension.- Parameters:
func (callable) – Function to apply to each window. It receives a 2D array of shape (winsize, nchannels) and must return a scalar or array.
data (ndarray (nsamples, nchannels)) – Data to compute rolling statistics on.
winsize (int) – Number of samples in one window (default 2).
overlap (int) – Number of samples overlapping between consecutive windows (0 means no overlap, default 1).
padding (bool) – Whether to pad the data so that all samples are covered by a window (default True). Currently accepted for API compatibility but ignored: the implementation always passes
padding=Truetochunk_data().
- Returns:
out – List of
funcresults, one per window.- Return type: