[Mne_analysis] Average over channels

[Johann Benerradi]

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Hi Alex,

Alright, thank you. Is that something users would be interested in, and worth creating a GitHub issue for feature request? I personally would like to do such a thing to average channels by ROI before classification with fNIRS (in addition to having this for visualisation)... I can eventually work on an implementation, but as for now I'll keep doing this with get_data() and np.mean().

Thanks,
Johann
________________________________
From: mne_analysis-bounces at nmr.mgh.harvard.edu <mne_analysis-bounces at nmr.mgh.harvard.edu> on behalf of Alexandre Gramfort <alexandre.gramfort at inria.fr>
Sent: 09 July 2020 07:47
To: Discussion and support forum for the users of MNE Software <mne_analysis at nmr.mgh.harvard.edu>
Subject: Re: [Mne_analysis] Average over channels

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hi Johann,

no it's not possible presently.

you can group channel when plotting though

https://mne.tools/stable/generated/mne.viz.plot_compare_evokeds.html#mne.viz.plot_compare_evokeds

Alex

On Wed, Jul 8, 2020 at 11:43 PM Johann Benerradi
<Johann.Benerradi at nottingham.ac.uk> wrote:
>
>         External Email - Use Caution
>
> Hello MNE users,
>
> I was wondering if there is an easy way to do an average over channels on a Raw or Epochs object. I've seen a few plotting functions with a "combine" parameter but is it possible to create a new Raw/Epochs object with combined channels (for example a new object with pseudo-channels representing ROIs)? I would like to avoid extracting a data array and doing it with NumPy if there is easier...
>
> Thanks a lot!
>
> Best wishes,
>
> Johann Benerradi
> -------------------------
> PhD Student
> School of Computer Science
> University of Nottingham, UK
> -------------------------
> https://hanbnrd.gitlab.io/
>
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