text: """
  ================================
  Make an MNE-Report with a Slider
  ================================
  
  In this example, MEG evoked data are plotted in an html slider.
  """
  
  # Authors: Teon Brooks <teon.brooks@gmail.com
  #
  # License: BSD (3-clause)
  
  from mne.report import Report
  from mne.datasets import sample
  from mne import read_evokeds
  from matplotlib import pyplot as plt
  
  
  report = Report()
  path = sample.data_path()
  fname = path + '/MEG/sample/sample_audvis-ave.fif'
  
  # Load the evoked data
  evoked = read_evokeds(fname, condition='Left Auditory',
                        baseline=(None, 0), verbose=False)
  evoked.crop(0, .2)
  times = evoked.times[::4]
  # Create a list of figs for the slider
  figs = list()
  for time in times:
      figs.append(evoked.plot_topomap(time, vmin=-300, vmax=300,
                                      res=100, show=False))
      plt.close(figs[-1])
  report.add_slider_to_section(figs, times, 'Evoked Response')
  
  # # to save report
  # report.save('foobar.html', True)
  