title: How to plot shaded error bands with seaborn?
body: <p>I wish to create a plot like the following, where I show some values alongside standard deviations.</p>
  
  <p><a href="https://i.stack.imgur.com/BwEkP.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/BwEkP.png" alt="enter image description here"></a></p>
  
  <p>I have two sets of values, containing the mean and standard deviation obtained by two different methods. I thought of doing this with <a href="https://seaborn.pydata.org/index.html" rel="nofollow noreferrer">seaborn</a>, but I don't know exactly how to do it since the <a href="https://seaborn.pydata.org/examples/errorband_lineplots.html" rel="nofollow noreferrer">official example</a> uses pandas DataFrame objects, which I'm not familiar with.</p>
  
  <p>As an example, consider the following starting code:</p>
  
  <pre><code>import seaborn as sns
  
  mean_1 = [10, 20, 30, 25, 32, 43]
  std_1 = [2.2, 2.3, 1.2, 2.2, 1.8, 3.5]
  
  mean_2 = [12, 22, 30, 13, 33, 39]
  std_2 = [2.4, 1.3, 2.2, 1.2, 1.9, 3.5]
  </code></pre>
  
  <p>Thank you, </p>
  
  <p>G.</p>