Alexandre Gramfort
Alexandre Gramfort
> > Yes, the only oneI found that would work is picks = > _picks_to_idx(len(layout.names), picks) which picks on a number of > channels. It's more limited and restrictive on...
how about allowing the mode parameter to be a callable so you can do any logic you need? > Message ID: ***@***.***> >
PR welcome thx ! >
thanks for the detailed bug report. Do you have a suggestion for how to address this issue? > Message ID: ***@***.***> >
> > You don't even have to use pandas, since NumPy also provides datetime > types with higher precision, i.e. numpy.datetime64 and numpy.timedelta64 ( > https://numpy.org/doc/stable/reference/arrays.datetime.html). > +1 > However,...
see my message in https://github.com/mne-tools/mne-python/pull/12324 > Message ID: ***@***.***> >
It’s published works so I am supportive assuming it’s properly validated against what we already have or what pyprep has.
for the record here the file comes from a non-bids valid dataset as we made sure dates for bids MEG are compatible with fif. >
bids validator cannot read meg files just the file names so he cannot detect these issues. >
> > I believe the sidecar-based values always take precedence. > +1