MWE:
# %%
from pathlib import Path
import mne
import numpy as np
sample_dir = Path(mne.datasets.sample.data_path())
sample_fname = sample_dir / 'MEG' / 'sample' / 'sample_audvis_raw.fif'
raw = mne.io.read_raw_fif(sample_fname, preload=True)
# %%
fig = (
raw.copy()
.pick_types(eeg=True, eog=True, stim=True)
.plot(butterfly=True, show_scrollbars=False, start=0,
duration=1, show=False)
)
It appears as if the stim channel has a lot of signals, and the EOG channel were flat.
However, the following code reveals that this ain't so:
# %%
fig = (
raw.copy()
.pick_types(stim=True)
.plot(butterfly=True, show_scrollbars=False, start=0,
duration=1, show=False)
)
# %%
fig = (
raw.copy()
.pick_types(eog=True)
.plot(butterfly=True, show_scrollbars=False, start=0,
duration=1, show=False)
)
cc @drammock
MWE:
It appears as if the stim channel has a lot of signals, and the EOG channel were flat.
However, the following code reveals that this ain't so:
cc @drammock