text: from __future__ import print_function
  
  from matplotlib.testing.decorators import image_comparison, cleanup
  import matplotlib.pyplot as plt
  import numpy as np
  import io
  
  
  @image_comparison(baseline_images=['log_scales'], remove_text=True)
  def test_log_scales():
      ax = plt.subplot(122, yscale='log', xscale='symlog')
  
      ax.axvline(24.1)
      ax.axhline(24.1)
  
  
  @image_comparison(baseline_images=['logit_scales'], remove_text=True,
                    extensions=['png'])
  def test_logit_scales():
      ax = plt.subplot(111, xscale='logit')
  
      # Typical extinction curve for logit
      x = np.array([0.001, 0.003, 0.01, 0.03, 0.1, 0.2, 0.3, 0.4, 0.5,
                    0.6, 0.7, 0.8, 0.9, 0.97, 0.99, 0.997, 0.999])
      y = 1.0 / x
  
      ax.plot(x, y)
      ax.grid(True)
  
  
  @cleanup
  def test_log_scatter():
      """Issue #1799"""
      fig, ax = plt.subplots(1)
  
      x = np.arange(10)
      y = np.arange(10) - 1
  
      ax.scatter(x, y)
  
      buf = io.BytesIO()
      fig.savefig(buf, format='pdf')
  
      buf = io.BytesIO()
      fig.savefig(buf, format='eps')
  
      buf = io.BytesIO()
      fig.savefig(buf, format='svg')
  
  
  @cleanup
  def test_logscale_subs():
      fig, ax = plt.subplots()
      ax.set_yscale('log', subsy=np.array([2, 3, 4]))
      # force draw
      fig.canvas.draw()
  
  
  if __name__ == '__main__':
      import nose
      nose.runmodule(argv=['-s', '--with-doctest'], exit=False)
  