old_contents: # -*- coding: utf-8 -*-
  # Copyright (c) 2014, Vispy Development Team.
  # Distributed under the (new) BSD License. See LICENSE.txt for more info.
  """
  Example demonstrating how to use vispy.pyplot, which uses mplexporter
  to convert matplotlib commands to vispy draw commands.
  
  Requires matplotlib.
  """
  
  import numpy as np
  import sys
  
  import vispy.mpl_plot as plt
  from vispy.io import read_png, load_data_file
  
  n = 200
  freq = 10
  fs = 100.
  t = np.arange(n) / fs
  tone = np.sin(2*np.pi*freq*t)
  noise = np.random.RandomState(0).randn(n)
  signal = tone + noise
  magnitude = np.abs(np.fft.fft(signal))
  freqs = np.fft.fftfreq(n, 1. / fs)
  flim = n // 2
  
  # Signal
  fig = plt.figure()
  ax = plt.subplot(311)
  ax.imshow(read_png(load_data_file('pyplot/logo.png')))
  
  ax = plt.subplot(312)
  ax.plot(t, signal, 'k-')
  
  # Frequency content
  ax = plt.subplot(313)
  idx = np.argmax(magnitude[:flim])
  ax.text(freqs[idx], magnitude[idx], 'Max: %s Hz' % freqs[idx],
          verticalalignment='top')
  ax.plot(freqs[:flim], magnitude[:flim], 'k-o')
  
  plt.draw()
  
  # NOTE: show() has currently been overwritten to convert to vispy format, so:
  # 1. It must be called to show the results, and
  # 2. Any plotting commands executed after this will not take effect.
  # We are working to remove this limitation.
  
  block = False if sys.flags.interactive == 0 else True
  if __name__ == '__main__':
      plt.show(block)
  
new_contents: # -*- coding: utf-8 -*-
  # vispy: testskip
  # -----------------------------------------------------------------------------
  # Copyright (c) 2014, Vispy Development Team.
  # Distributed under the (new) BSD License. See LICENSE.txt for more info.
  # -----------------------------------------------------------------------------
  """
  Example demonstrating how to use vispy.pyplot, which uses mplexporter
  to convert matplotlib commands to vispy draw commands.
  
  Requires matplotlib.
  """
  
  import numpy as np
  import sys
  
  import vispy.mpl_plot as plt
  from vispy.io import read_png, load_data_file
  
  n = 200
  freq = 10
  fs = 100.
  t = np.arange(n) / fs
  tone = np.sin(2*np.pi*freq*t)
  noise = np.random.RandomState(0).randn(n)
  signal = tone + noise
  magnitude = np.abs(np.fft.fft(signal))
  freqs = np.fft.fftfreq(n, 1. / fs)
  flim = n // 2
  
  # Signal
  fig = plt.figure()
  ax = plt.subplot(311)
  ax.imshow(read_png(load_data_file('pyplot/logo.png')))
  
  ax = plt.subplot(312)
  ax.plot(t, signal, 'k-')
  
  # Frequency content
  ax = plt.subplot(313)
  idx = np.argmax(magnitude[:flim])
  ax.text(freqs[idx], magnitude[idx], 'Max: %s Hz' % freqs[idx],
          verticalalignment='top')
  ax.plot(freqs[:flim], magnitude[:flim], 'k-o')
  
  plt.draw()
  
  # NOTE: show() has currently been overwritten to convert to vispy format, so:
  # 1. It must be called to show the results, and
  # 2. Any plotting commands executed after this will not take effect.
  # We are working to remove this limitation.
  
  block = False if sys.flags.interactive == 0 else True
  if __name__ == '__main__':
      plt.show(block)
  
subject: Fix tag