title: matplotlib: inset axes for multiple boxplots
body: <p>I have a few boxplots in matplotlib that I want to zoom in on a particular y-range ([0,0.1]) using <a href="http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/users/overview.html" rel="nofollow noreferrer">inset axes</a>. It is not clear to me from the <a href="http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/examples/inset_locator_demo2.py" rel="nofollow noreferrer">example</a> in the documentation how I should do this for multiple boxplots on the same figure. I was trying to modify the code provided this example, but there was too much unnecessary complexity. My code is pretty simple:</p>
  
  <pre><code># dataToPlot is a list of lists, containing some data. 
  plt.figure()
  plt.boxplot(dataToPlot)
  plt.savefig( 'image.jpeg', bbox_inches=0)
  </code></pre>
  
  <p>How do I add inset axes and zoom in on the first boxplot of the two? How can I do it for both?</p>
  
  <p>EDIT: I tried the code below, but here's what I got:
  <img src="https://i.stack.imgur.com/ht95r.jpg" alt="enter image description here"></p>
  
  <p>What went wrong?</p>
  
  <pre><code># what's the meaning of these two parameters?
  fig = plt.figure(1, [5,4])
  # what does 111 mean?
  ax = fig.add_subplot(111)
  ax.boxplot(data)
  # ax.set_xlim(0,21)  # done automatically based on the no. of samples, right?
  # ax.set_ylim(0,300) # done automatically based on max value in my samples, right?
  # Create the zoomed axes
  axins = zoomed_inset_axes(ax, 6, loc=1) # zoom = 6, location = 1 (upper right)
  axins.boxplot(data)
  # sub region of the original image
  #here I am selecting the first boxplot by choosing appropriate values for x1 and x2 
  # on the y-axis, I'm selecting the range which I want to zoom in, right?
  x1, x2, y1, y2 = 0.9, 1.1, 0.0, 0.01
  axins.set_xlim(x1, x2)
  axins.set_ylim(y1, y2)
  # even though it's false, I still see all numbers on both axes, how do I remove them?
  plt.xticks(visible=False)
  plt.yticks(visible=False)
  # draw a bbox of the region of the inset axes in the parent axes and
  # connecting lines between the bbox and the inset axes area
  # what are fc and ec here? where do loc1 and loc2 come from?
  mark_inset(ax, axins, loc1=2, loc2=4, fc="none", ec="0.5")
  plt.savefig( 'img.jpeg', bbox_inches=0)
  </code></pre>