[Mne_analysis] Epoch() classifies all epochs as "bad"

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Dear Marijn & List

Thanks for your suggestion about  drop_log. I tried that and also
plot_drop_log, and according to that all epochs are either "IGNORED" or
"NO_DATA"  according to dropped_log. Also, in the plot_drop_log, 100%
events are either "NO_DATA" or "TOO_SHORT".

I saw in the documentation that " ‘NO_DATA’ or ‘TOO_SHORT’ if epoch didn’t
contain enough data", but I don't understand what does "didn't contain
enough data" mean? I have a 64-channel eeg recording, epochs are ~3seconds
long, and epoch markers, timing, amount of epochs, etc. is identified
perfectly by the find_events calls. Also, all other pre-processing steps
(filtering, bad channel interpolation, re-referencing, etc.) worked just
fine.

Thanks in advance for any comments and suggestions,
Daniel

PS: Sorry about writing from different emails. I'll make sure that in the
future I only use the registered one.

Date: Tue, 29 May 2018 20:01:33 +0300
From: Marijn van Vliet <w.m.vanvliet at gmail.com>
Subject: Re: [Mne_analysis] Epoch() classifies all epochs as "bad"
To: Discussion and support Software <mne_analysis at nmr.mgh.harvard.edu>
Message-ID: <3E3699E3-BEAC-40BD-BB15-B9141C4A96F3 at gmail.com>
Content-Type: text/plain; charset="us-ascii"

Dear Daniel,

you can try looking at epochs.drop_log after all epochs are dropped. The
drop_log contains for each dropped epoch the reason why it was dropped.

best,
Marijn.
> On 29 May 2018, at 18:34, Daniel Preciado <daniel.preciadov at gmail.com>
wrote:
>
>         External Email - Use Caution
>
>
> Dear list,
>
> I am having trouble with epoching eeg data. For some reason, the epoch()
call classifies all epochs as bad, and I always end up with an empty Epochs
object.
>
> If I try epoching with "preload=False", it reads correctly the epochs,
and the detected epochs perfectly matching the amount of trials and other
experiment parameters. But whenever I try to do anything with the Epochs
object (e.g. plotting), all events are deleted, and thus everything else
throws zeroDivisionErrors. And if I call back the epochs object after this,
it is empty (epoch counts are set to 0).
>
> I have tried all types of combinations of arguments, but the result is
always the same: It seems to correctly recognize the epochs if the data is
not Preloaded, but everything is discarded if the data is preloade, or if I
try to do anything with the epochs object. I have tried different things
with the arguments, including reject=None, Baseline=(None, None),
preload=False, reject=None, flat=None, reject_tmin=None, reject_tmax=None,
detrend=None, on_missing='error', metadata=None, verbose=None. I have also
tried creating the epochs with the minimum arguments necessary (Data,
Event_data, Event_id), but it is always the same result.
>
> I have also tried the same code on different datasets, but it always
discards all epochs, no matter what.
>
> I do not understand why Epoch() classifies all data (from different
people, different sessions) as bad, can anyone help me to figure this out,
and hopefully fix it?
>
> Thanks!
>
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