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librosa.util.match_events¶
- librosa.util.match_events(events_from, events_to, left=True, right=True)[source]¶
Match one set of events to another.
This is useful for tasks such as matching beats to the nearest detected onsets, or frame-aligned events to the nearest zero-crossing.
Note
A target event may be matched to multiple source events.
- Parameters
- events_fromndarray [shape=(n,)]
Array of events (eg, times, sample or frame indices) to match from.
- events_tondarray [shape=(m,)]
Array of events (eg, times, sample or frame indices) to match against.
- leftbool
- rightbool
If False, then matched events cannot be to the left (or right) of source events.
- Returns
- event_mappingnp.ndarray [shape=(n,)]
For each event in events_from, the corresponding event index in events_to.
event_mapping[i] == arg min |events_from[i] - events_to[:]|
- Raises
- ParameterError
If either array of input events is not the correct shape
See also
Examples
>>> # Sources are multiples of 7 >>> s_from = np.arange(0, 100, 7) >>> s_from array([ 0, 7, 14, 21, 28, 35, 42, 49, 56, 63, 70, 77, 84, 91, 98]) >>> # Targets are multiples of 10 >>> s_to = np.arange(0, 100, 10) >>> s_to array([ 0, 10, 20, 30, 40, 50, 60, 70, 80, 90]) >>> # Find the matching >>> idx = librosa.util.match_events(s_from, s_to) >>> idx array([0, 1, 1, 2, 3, 3, 4, 5, 6, 6, 7, 8, 8, 9, 9]) >>> # Print each source value to its matching target >>> zip(s_from, s_to[idx]) [(0, 0), (7, 10), (14, 10), (21, 20), (28, 30), (35, 30), (42, 40), (49, 50), (56, 60), (63, 60), (70, 70), (77, 80), (84, 80), (91, 90), (98, 90)]