Kambiz Tavabi

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I am getting `KeyError: 'data'` for a frame without any zero-non-null counts.

> > can you change the python version with pip? > > That's a feature of pipenv at least, not sure if that works with plain pip though. @hoechenberger or...

On a tangent, I am thinking of simplifying the `nave` proportions algebra in `evoked. comment` for the results from `plot_compare_evokdes` to make a more informative legend. Here is an, e.g.,...

I think this might be useful to note here... I have a dataset with N=37 subjects. The `sub-Average` report shows me a subject trial counts which is brilliant. But all...

On second thought, I am not sure if the Events counts is very informative, since in all cases trial counts should be equalized, I think a dot plot of subjects...

Upstream issue with legend and topo map positions?

> your decoding plot seems just for one subject. @agramfort that's what I am thinking. Considering it's from the `sub-average` report I suspect something went wrong.

> Yeah, and the big legend is clearly a problem. We'll need to address this upstream, or revise this plot entirely somehow – there's just too many conditions here to...

>Personally I would just use h5io / mne.externals.h5io since it's a thin layer over hdf5 which can be read most places without issue. @larsoner FWIW my impression is that xarray...

no 😒 I'm beginning to suspect there are pop-up corner cases along the pipeline... Presently trying to run `all` steps on entire cohort but via `pdb` due to _critical errors_...