# Authors: Denis Engemann <denis.engemann@gmail.com>
#          Alexandre Gramfort <alexandre.gramfort@inria.fr>

# License: BSD-3-Clause

import matplotlib.pyplot as plt
import mne

from mne.viz import plot_evoked_topo
from mne.datasets import sample

print(__doc__)

data_path = sample.data_path()

"""
Explanation: Compare evoked responses for different conditions
In this example, an Epochs object for visual and auditory responses is created.
Both conditions are then accessed by their respective names to create a sensor
layout plot of the related evoked responses.
End of explanation
"""


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'
tmin = -0.2
tmax = 0.5

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

#   Set up amplitude-peak rejection values for MEG channels
reject = dict(grad=4000e-13, mag=4e-12)

# Create epochs including different events
event_id = {'audio/left': 1, 'audio/right': 2,
            'visual/left': 3, 'visual/right': 4}
epochs = mne.Epochs(raw, events, event_id, tmin, tmax,
                    picks='meg', baseline=(None, 0), reject=reject)

# Generate list of evoked objects from conditions names
evokeds = [epochs[name].average() for name in ('left', 'right')]

"""
Explanation: Set parameters
End of explanation
"""


colors = 'blue', 'red'
title = 'MNE sample data\nleft vs right (A/V combined)'

plot_evoked_topo(evokeds, color=colors, title=title, background_color='w')

plt.show()

"""
Explanation: Show topography for two different conditions
End of explanation
"""


