content: """
  =================================================
  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.
  
  """
  
  # 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()
  
  ###############################################################################
  # 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'
  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')]
  
  ###############################################################################
  # Show topography for two different conditions
  
  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()
  