mne.make_fixed_length_events#
- mne.make_fixed_length_events(raw, id=1, start=0, stop=None, duration=1.0, first_samp=True, overlap=0.0)[source]#
Make a set of events separated by a fixed duration.
- Parameters:
- rawinstance of
Raw
A raw object to use the data from.
- id
int
The id to use (default 1).
- start
float
Time of first event (in seconds).
- stop
float
|None
Maximum time of last event (in seconds). If None, events extend to the end of the recording.
- duration
float
The duration to separate events by (in seconds).
- first_samp
bool
If True (default), times will have first_samp added to them, as in
mne.find_events()
. This behavior is not desirable if the returned events will be combined with event times that already have first_samp added to them, e.g. event times that come frommne.find_events()
.- overlap
float
The overlap between events (in seconds). Must be
0 <= overlap < duration
.New in version 0.18.
- rawinstance of
- Returns:
- events
array
ofint
, shape (n_events, 3) The array of events. The first column contains the event time in samples, with first_samp included. The third column contains the event id.
- events
Examples using mne.make_fixed_length_events
#
Overview of MEG/EEG analysis with MNE-Python
Creating MNE-Python data structures from scratch
Continuous Target Decoding with SPoC
Compute Spectro-Spatial Decomposition (SSD) spatial filters