# mne.make_fixed_length_epochs¶

mne.make_fixed_length_epochs(raw, duration=1.0, preload=False, reject_by_annotation=True, proj=True, verbose=None)[source]

Divide continuous raw data into equal-sized consecutive epochs.

Parameters
rawinstance of Raw

Raw data to divide into segments.

durationfloat

Duration of each epoch in seconds. Defaults to 1.

preloadbool or str (default False)

Preload data into memory for data manipulation and faster indexing. If True, the data will be preloaded into memory (fast, requires large amount of memory). If preload is a string, preload is the file name of a memory-mapped file which is used to store the data on the hard drive (slower, requires less memory).

reject_by_annotationbool

Whether to reject based on annotations. If True (default), epochs overlapping with segments whose description begins with 'bad' are rejected. If False, no rejection based on annotations is performed.

New in version 0.21.0.

projbool | ‘delayed’

Apply SSP projection vectors. If proj is ‘delayed’ and reject is not None the single epochs will be projected before the rejection decision, but used in unprojected state if they are kept. This way deciding which projection vectors are good can be postponed to the evoked stage without resulting in lower epoch counts and without producing results different from early SSP application given comparable parameters. Note that in this case baselining, detrending and temporal decimation will be postponed. If proj is False no projections will be applied which is the recommended value if SSPs are not used for cleaning the data.

New in version 0.22.0.

verbose

If not None, override default verbose level (see mne.verbose() and Logging documentation for more). If used, it should be passed as a keyword-argument only.

Returns
epochsinstance of Epochs

Segmented data.

Notes

New in version 0.20.