[Mne_analysis] concatenation raws and events

[J.A. Entakli]

Thank you Steve,

I suppose something like that:
raws = mne.io.Raw(['raw1_fname','raw2_fname'])

and what about the events??

Bests,
Jonathan

On 11/09/2014 15:58, Stephen Politzer-Ahles wrote:
> Hi Jonathan,
> 
> When you read your raw file, you can pass the function a list of
> filenames (instead of one filename) to automatically read all those
> files into a single Raw object. Then you shouldn't need to worry about
> concatenating later.
> 
> Best,
> Steve
> 
> Stephen Politzer-Ahles
> New York University, Abu Dhabi
> Neuroscience of Language Lab
> http://www.nyu.edu/projects/politzer-ahles/ [5]
> 
> On Thu, Sep 11, 2014 at 6:44 PM, J.A. Entakli <jae40 at cam.ac.uk> wrote:
> 
>> Hello Everybody,
>> During my experiment I recorded 2 blocs per subject. I am just
>> started
>> with mne_python.
>> 
>> I have two questions in one ::
>> 1) I would like to know how can I concatenate the blocs and above
>> all
>> the events (corresponding to each bloc) to have just one bloc.
>> In brief, for each subject I have one bloc with its events and
>> another
>> bloc with its events also.
>> 
>> raw_fname1= '...'
>> raw_fname2= '...'
>> event_fname1= '...'
>> event_fname2= '...'
>> 
>> raw1 = io.Raw(raw_fname1)
>> raw2 = io.Raw(raw_fname2)
>> 
>> events1 = mne.read_events(event_fname1)
>> events2 = mne.read_events(event_fname2)
>> events_list = [events1,events2]
>> 
>> raw_conc= concatenate_raws([raw1,raw2], events_list=events_list)
>> 
>> Until here I think these several code lines work correctly...
>> 
>> 2) But when I try to extract the epochs from raw_conc I have some
>> error
>> messages (concerning I think the events_list)
>> 
>> picks =
>> mne.pick_types(raw1.info
>> [1],meg='mag',eeg=False,ecg=False,eog=False,stim=False,
>> exclude='bads')
>> epochs = mne.Epochs(raw, events_list, event_id, tmin, tmax,
>> picks=picks,
>> baseline= baseline, reject=reject)
>> 
>> The aim of both questions is to use the tfr_morlet function which
>> asks
>> in input the epochs.
>> 
>> power, itc = tfr_morlet(epochs, freqs=freqs, n_cycles=n_cycles,
>> use_fft=False, return_itc=True, decim=3,n_jobs=1)
>> 
>> Someone has an idea about this?
>> 
>> Bests,
>> 
>> Jonathan
>> --
>> Dr Jonathan Entakli - Research Associate Post doctoral position
>> 
>> Department of Psychology
>> University of Cambridge, Downing St
>> Cambridge CB2 3EB
>> 
>> Sir William Hardy Building
>> Office : 314
>> Mobile : 07778 692 458
>> 
>> http://www.viscog.psychol.cam.ac.uk/ [2]
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> 
> 
> Links:
> ------
> [1] http://raw1.info
> [2] http://www.viscog.psychol.cam.ac.uk/
> [3] https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis
> [4] http://www.partners.org/complianceline
> [5] http://www.nyu.edu/projects/politzer-ahles/
> 
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-- 
Dr Jonathan Entakli - Research Associate

Department of Psychology
University of Cambridge, Downing St
Cambridge CB2 3EB

Sir William Hardy Building
Office : 314
Mobile : 07778 692 458

http://www.viscog.psychol.cam.ac.uk/