

In [ ]:

    
%matplotlib inline

Reading and writing an evoked file

This script shows how to read and write evoked datasets.



In [ ]:

    
# Author: Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
#
# License: BSD (3-clause)

from mne import read_evokeds
from mne.datasets import sample

print(__doc__)

data_path = sample.data_path()

fname = data_path + '/MEG/sample/sample_audvis-ave.fif'

# Reading
condition = 'Left Auditory'
evoked = read_evokeds(fname, condition=condition, baseline=(None, 0),
                      proj=True)

Show result as a butteryfly plot: By using exclude=[] bad channels are not excluded and are shown in red



In [ ]:

    
evoked.plot(exclude=[])

# Show result as a 2D image (x: time, y: channels, color: amplitude)
evoked.plot_image(exclude=[])

Use :func:mne.Evoked.save or :func:mne.write_evokeds to write the evoked responses to a file.