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.

idint

The id to use (default 1).

startfloat

Time of first event (in seconds).

stopfloat | None

Maximum time of last event (in seconds). If None, events extend to the end of the recording.

durationfloat

The duration to separate events by (in seconds).

first_sampbool

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 from mne.find_events().

overlapfloat

The overlap between events (in seconds). Must be 0 <= overlap < duration.

New in v0.18.

Returns:
eventsarray of int, 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.

Examples using mne.make_fixed_length_events#

Overview of MEG/EEG analysis with MNE-Python

Overview of MEG/EEG analysis with MNE-Python

Parsing events from raw data

Parsing events from raw data

Working with events

Working with events

Creating MNE-Python data structures from scratch

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Continuous Target Decoding with SPoC

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Compute Spectro-Spatial Decomposition (SSD) spatial filters

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