ethograph.labels.ml.get_labels_start_end_indices#

ethograph.labels.ml.get_labels_start_end_indices(col, bg_class=0)[source]#

Return segment boundaries as sample indices (exclusive end).

Useful for slicing dense arrays or computing segment-level metrics.

Parameters:

  • col (array-like) – 1-D dense label array.

  • bg_class (int) – Background class to ignore (default 0).

Returns:

  • labels (list[int]) – Label class for each segment.

  • starts (list[int]) – Start index (inclusive) of each segment.

  • ends (list[int]) – End index (exclusive) — use array[start:end] to slice.

Examples

>>> from ethograph.labels.ml import get_labels_start_end_indices
>>> labels, starts, ends = get_labels_start_end_indices([0,1,1,1,0,2,2])
>>> labels
[1, 2]
>>> starts
[1, 5]
>>> ends
[4, 7]
>>> # To extract the first segment from a feature array:
>>> # segment_features = features[starts[0]:ends[0], :]