mne-python/examples/plot_read_epochs.py at master · KuperbergLab/mne-python · GitHub

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"""
==================================
Reading epochs from a raw FIF file
==================================

This script shows how to read the epochs from a raw file given
a list of events. For illustration, we compute the evoked responses
for both MEG and EEG data by averaging all the epochs.

"""
# Authors: Alexandre Gramfort <gramfort@nmr.mgh.harvard.edu>
#          Matti Hamalainen <msh@nmr.mgh.harvard.edu>
#
# License: BSD (3-clause)

print __doc__

import mne
from mne import fiff
from mne.viz import plot_evoked
from mne.datasets import sample
data_path = sample.data_path('.')

###############################################################################
# Set parameters
raw_fname = data_path + '/MEG/sample/sample_audvis_filt-0-40_raw.fif'
event_fname = data_path + '/MEG/sample/sample_audvis_filt-0-40_raw-eve.fif'
event_id, tmin, tmax = 1, -0.2, 0.5

# Setup for reading the raw data
raw = fiff.Raw(raw_fname)
events = mne.read_events(event_fname)

# Set up pick list: EEG + MEG - bad channels (modify to your needs)
exclude = raw.info['bads'] + ['MEG 2443', 'EEG 053']  # bads + 2 more
picks = fiff.pick_types(raw.info, meg=True, eeg=False, stim=True, eog=True,
                            exclude=exclude)

# Read epochs
epochs = mne.Epochs(raw, events, event_id, tmin, tmax, proj=True,
                    picks=picks, baseline=(None, 0), preload=True,
                    reject=dict(grad=4000e-13, mag=4e-12, eog=150e-6))
evoked = epochs.average()  # average epochs to get the evoked response

###############################################################################
# Show result
plot_evoked(evoked)