title: Override Matplotlib pie chart percentage labels to a specific value that doesn't sum to 100%
body: <p>I have a pie chart given by the following code</p>
  <pre><code>import matplotlib.pyplot as plt
  
  colorPalette=[&quot;#61412B&quot;,&quot;#DCC57D&quot;,&quot;#D57838&quot;,&quot;#FFCE33&quot;]
  
  fig, (ax1,ax2)=plt.subplots(1,2,figsize=(10,10))
  labels=[&quot;Small&quot;,&quot;Mid&quot;,&quot;Large&quot;]
  values=[.258,.284,.458]
  ax1.pie(values,labels=labels,explode=[0.01,0.01,0.01],colors=colorPalette,autopct='%1.1f%%')
  labels=[&quot;Market Peg&quot;,&quot;Primary Peg (Passive)&quot;,&quot;Limit&quot;,&quot;MidPoint Peg&quot;]
  values=[.027,.09,.35,.534]
  ax2.pie(values,labels=labels,explode=[0.01,0.01,0.01,0.01],colors=colorPalette,autopct='%1.1f%%')
  </code></pre>
  <p><a href="https://i.stack.imgur.com/LYyqp.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/LYyqp.png" alt="enter image description here" /></a></p>
  <p>I noticed that my input value of 53.4% on the second plot gets pushed to 53.3%. Is there a way to override this and still display 53.4, even though it adds to over 100%?</p>