title: Image size of 1005x132589 pixels is too large. It must be less than 2^16 in each direction
body: <p>I am using <code>matplotlib.pyplot</code> to plot a graph from a Dataframe. </p>
  
  <p>I want to show the height of the bar upon each rectangle and am using <code>Text()</code>. For normalising the y-axis, I have taken the log. Below is my code, I am getting error</p>
  
  <blockquote>
    <p>Image size of 1005x132589 pixels is too large. It must be less than 2^16 in each direction</p>
  </blockquote>
  
  <p>When I am not using <code>plt.yscale('log')</code> then the code is working fine.</p>
  
  <p>According to some suggestions, I have restarted my kernel too, but still getting this issue. Any suggestions regarding this is welcomed. </p>
  
  <p>My Code:</p>
  
  <pre><code># data collected to list. 
  list_alarms = df_region.alarmName
  # list_east = df_region.EAST
  list_west = df_region.WEST
  list_north = df_region.NORTH
  list_south = df_region.SOUTH
  
  
  # X-ticks customization
  N = len(list_alarms)
  xpos = np.arange(N)
  
  # this json file is used to update the style of the plot. 
  s = json.load(open('style.json'))    
  rcParams.update(s)
  
  # Graph customize
  plt.rcParams['figure.figsize'] = (15,8)
  plt.xlabel('AlarmNames at different Regions')
  plt.ylabel('Frequency for alarms in MNG-PAN devices')
  plt.title('Alarm Generated by MNG-PAN Device at different Regions')
  plt.xticks(xpos, list_alarms, rotation = 280)
  
  # bar1 = plt.bar(xpos - 0.3,list_east, width = 0.2, label = 'EAST', color = '#3154C8')
  bar2 = plt.bar(xpos - 0.1, list_west, label = 'WEST', color = '#FF9633')
  bar3 = plt.bar(xpos + 0.1, list_north, label = 'NORTH', color ='#12B794')
  bar4 = plt.bar(xpos + 0.3, list_south, label = 'SOUTH', color ='#EF6FE3')
  plt.yscale('log')
  plt.legend()
  
  def autolabel(rects):
      for rect in rects:
          height = rect.get_height()
          if height &lt; 10000:
              plt.text(rect.get_x() + rect.get_width()/2., 1.05*height, 
                   '%d'%int(height),
                   ha = 'center', va = 'bottom', rotation = 90, 
      fontsize=9)
  
  
  # # autolabel(bar1)
  autolabel(bar2)
  autolabel(bar3)
  autolabel(bar4)
  
  plt.show()
  </code></pre>
  
  <p>I am using Jupyter Notebook, Pandas, Python3.</p>