mvpa2.datasets.eventrelated.find_events

mvpa2.datasets.eventrelated.find_events(**kwargs)

Detect changes in multiple synchronous sequences.

Multiple sequence arguments are scanned for changes in the unique value combination at corresponding locations. Each change in the combination is taken as a new event onset. The length of an event is determined by the number of identical consecutive combinations.

Parameters:

**kwargs : sequences

Arbitrary number of sequences that shall be scanned.

Returns:

list :

Detected events, where each event is a dictionary with the unique combination of values stored under their original name. In addition, the dictionary also contains the onset of the event (as index in the sequence), as well as the duration (as number of identical consecutive items).

See also

eventrelated_dataset

event-related segmentation of a dataset

Examples

>>> seq1 = ['one', 'one', 'two', 'two']
>>> seq2 = [1, 1, 1, 2]
>>> events = find_events(targets=seq1, chunks=seq2)
>>> for e in events:
...     print e
{'chunks': 1, 'duration': 2, 'onset': 0, 'targets': 'one'}
{'chunks': 1, 'duration': 1, 'onset': 2, 'targets': 'two'}
{'chunks': 2, 'duration': 1, 'onset': 3, 'targets': 'two'}