Drop bad channel in 10_publication_figure.py

Visualisation tutorial 10 is broken because finding peaks without dropping bars finds a random point on a broken grad. This drops the bad channel before finding the peak.

Author: jona-sassenhagen

tutorials/visualization/10_publication_figure.py

@@ -41,7 +41,7 @@
 fname_evoked = data_path / "MEG" / "sample" / "sample_audvis-ave.fif"
 
 evoked = mne.read_evokeds(fname_evoked, "Left Auditory")
-evoked.pick(picks="grad").apply_baseline((None, 0.0))
+evoked.pick(picks="grad").drop_channels(evoked.info['bads']).apply_baseline((None, 0.0))
 max_t = evoked.get_peak()[1]
 
 stc = mne.read_source_estimate(fname_stc)