[Mne_analysis] Selecting a subset of epochs

[Alexandre Gramfort]

hi Maria,

to balance the number of epochs in each condition you can use the
equalize_event_counts method.

epochs.equalize_event_counts(...)

otherwise you can index epochs with integers.

epochs[[1, 4, 5]] will return a new set of 3 epochs.

HTH
Alex


On Sun, Oct 5, 2014 at 5:47 PM, Maria Hakonen <maria.hakonen at gmail.com> wrote:
> Hi all,
>
> I have raw MEG data that contains responses to four different conditions,
> 120 responses to each condition. The epochs of certain condition can be
> extracted by giving event_id as an argument to mne.Epochs. However, I would
> need a file containing a subset of 40 epochs per condition (i.e. 160 epochs
> in total). The epochs should be selected randomly. I wonder if there is some
> way to do this with mne Python?
>
> Thank you very much,
> Maria
>
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