<div dir="ltr">Hi will,<div><br></div><div>could you share a small snippet (e.g. 100 ms) of your data like that:</div><div><br></div><div>raw.crop(None, 0.1)</div><div><div class="gmail_extra">raw.save('my-ctf-raw.fif')</div>
<div class="gmail_extra"><br></div><div class="gmail_extra">I suspect there is some channel type in your data whic is not classified as one of these:</div><div class="gmail_extra"><br></div><div class="gmail_extra"><div class="gmail_extra">
['eeg', 'eog', 'ecg', 'emg', 'ref_meg', 'stim', 'resp', 'misc', 'chpi', 'syst', 'ias', 'exci']</div></div><div class="gmail_extra">
<br></div><div class="gmail_extra">Maybe your reference channels are not marked as such.</div><div class="gmail_extra">You could try to identify them by name and remove them just for the purpose of plotting using </div><div class="gmail_extra">
<br></div><div class="gmail_extra">`raw.drop_channels(channel_names)`</div><div class="gmail_extra"><br></div><div class="gmail_extra">Best,</div><div class="gmail_extra">Denis</div><div class="gmail_extra"><br></div><div class="gmail_extra">
<div class="gmail_quote">On Wed, Jul 30, 2014 at 6:00 PM, <span dir="ltr"><<a href="mailto:wgraves@psychology.rutgers.edu" target="_blank">wgraves@psychology.rutgers.edu</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-style:solid;padding-left:1ex">
Hello MNE Experts,<br>
<br>
In trying to deal with CTF files for the first, time I'm running into some<br>
issues that I don't understand and hope someone can easily help with. I<br>
used the mne_ctf2fiff command to convert to fiff, but I can't visualize<br>
the resulting file in mne_browse_raw (it loads without error but just<br>
looks blank). Similarly, all the steps for loading a segment of the file<br>
as raw data in mne_python work without error, until I do "raw.plot()",<br>
when I get this error:<br>
<br>
In [20]: raw.plot()<br>
---------------------------------------------------------------------------<br>
RuntimeError Traceback (most recent call last)<br>
<ipython-input-20-d4ffb847f525> in <module>()<br>
----> 1 raw.plot()<br>
<br>
/home/wgraves/data/ld_meg/scripts/src/mne/mne/fiff/base.pyc in plot(raw,<br>
events, duration, start, n_channels, bgcolor, color, bad_color,<br>
event_color, scalings, remove_dc, order, show_options, title, show, block)<br>
846 return plot_raw(raw, events, duration, start, n_channels,<br>
bgcolor,<br>
847 color, bad_color, event_color, scalings,<br>
remove_dc,<br>
--> 848 order, show_options, title, show, block)<br>
849<br>
850 @verbose<br>
<br>
/home/wgraves/data/ld_meg/scripts/src/mne/mne/viz.pyc in plot_raw(raw,<br>
events, duration, start, n_channels, bgcolor, color, bad_color,<br>
event_color, scalings, remove_dc, order, show_options, title, show, block)<br>
2778 inds = np.concatenate(inds).astype(int)<br>
2779 if not len(inds) == len(info['ch_names']):<br>
-> 2780 raise RuntimeError('Some channels not classified, please<br>
report '<br>
2781 'this problem')<br>
2782<br>
<br>
RuntimeError: Some channels not classified, please report this problem<br>
<br>
Unfortunately, the data were collected in short epochs keyed to the events<br>
rather than continuously. My original plan was to use<br>
mne.fiff.concatenate_raws to concatenate across epochs/events, but I<br>
couldn't figure out how to make that work either (perhaps because I don't<br>
know what the "raw" argument is supposed to look like, and I can't find an<br>
example).<br>
<br>
Anyway, I would gratly appreciate any help or insight anyone can share.<br>
<br>
Thanks,<br>
Will<br>
<br>
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