mne.count_events#
- mne.count_events(events, ids=None)[source]#
Count events.
- Parameters:
- events
ndarray
, shape (N, 3) The events array (consisting of N events).
- idsarray_like of
int
|None
If
None
, count all event types present in the input. If array-like of int, count only those event types given byids
.
- events
- Returns:
- counts
dict
A dictionary containing the event types as keys with their counts as values.
- counts
Examples
>>> events = np.array([[0, 0, 1], [0, 0, 1], [0, 0, 5]]) >>> count_events(events) {1: 2, 5: 1} >>> count_events(events, ids=[1, 5]) {1: 2, 5: 1} >>> count_events(events, ids=[1, 11]) {1: 2, 11: 0}