# 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)

"""
Explanation: Reading and writing an evoked file
This script shows how to read and write evoked datasets.
End of explanation
"""


evoked.plot(exclude=[], time_unit='s')

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

"""
Explanation: Show result as a butterfly plot:
By using exclude=[] bad channels are not excluded and are shown in red
End of explanation
"""


