title: Why does matplotlib choose the wrong range in y using log scale?
body: <p>Using matplotlib version 1.5.1 and python 2.7.11 I noticed that I need to specify the limits in y manually or else only the largest y-value point is plotted. Arrays behave the same way.</p>
  
  <p>If I remove the first point, I get a few more points, but not all of them.</p>
  
  <p>I don't recall ever having to manually set limits like this before - why here?</p>
  
  <p><a href="https://i.stack.imgur.com/uggRq.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/uggRq.png" alt="enter image description here"></a></p>
  
  <pre><code>import matplotlib.pyplot as plt
  
  X = [0.997, 2.643, 0.354, 0.075, 1.0, 0.03, 2.39, 0.364, 0.221, 0.437]
  Y = [15.487507, 2.320735, 0.085742, 0.303032, 1.0, 0.025435, 4.436435,
       0.025435, 0.000503, 2.320735]
  
  plt.figure()
  
  plt.subplot(1,2,1)
  plt.scatter(X, Y)
  plt.xscale('log')
  plt.yscale('log')
  
  
  plt.subplot(1,2,2)
  plt.scatter(X, Y)
  plt.xscale('log')
  plt.yscale('log')
  plt.ylim(0.5*min(Y), 2.0*max(Y))  # why is this line necessary?
  plt.title('added plt.ylim()')
  
  plt.show()
  </code></pre>