ready for me


On Wed, Oct 2, 2013 at 3:20 PM, Roman Goj <notifications@github.com> wrote:

> In examples/inverse/plot_tf_lcmv.py:
>
> > +# Read raw data, preload to allow filtering
> > +raw = Raw(raw_fname, preload=True)
> > +raw.info['bads'] = ['MEG 2443']  # 1 bad MEG channel
> > +
> > +# Set picks
> > +picks = mne.fiff.pick_types(raw.info, meg=True, eeg=False, eog=False,
> > +                            stim=False, exclude='bads')
> > +
> > +# Read epochs. Note that preload is set to False to enable tf_lcmv to read the
> > +# underlying raw object from epochs.raw, which would be set to None during
> > +# preloading. Filtering is then performed on raw data in tf_lcmv and the epochs
> > +# parameters passed here are used to create epochs from filtered data. However,
> > +# reading epochs without preloading means that bad epoch rejection is delayed
> > +# until later. To perform bad epoch rejection based on the reject parameter
> > +# passed here, run epochs.drop_bad_epochs(). This is done automatically in
> > +# tf_lcmv to reject bad epochs based on unfiltered data.
>
> @agramfort <https://github.com/agramfort> @dengemann<https://github.com/dengemann>Only noticed your question now, but I'm on hangouts, if you still have time.
>
> —
> Reply to this email directly or view it on GitHub<https://github.com/mne-tools/mne-python/pull/742/files#r6714030>
> .
>