title: Plot standard deviation from external datasource using seaborn
body: <p>I am trying to visualize a lineplot via seaborn, in which I want to plot the average and standard deviation of a column. As I am using large files (with millions of rows) the plot takes a while to load.</p>
  <p>To reduce computational time, I pre-computed the average of the columns and the corresponding standard deviation. Subsequently, I use this pre-computed data as input for the lineplot, instead the supplying the complete Pandas dataframe.</p>
  <p>This is the code I currently use:</p>
  <pre><code>df = open_pickle(&quot;data/experiment&quot;)
  sns.lineplot(x=&quot;rho&quot;, y=&quot;wait_time_mean&quot;, hue=&quot;c&quot;, style=&quot;service_type&quot;, data=df)
  </code></pre>
  <p>This will only show the average. I was wondering if it would be possible to manually supply values for the standard deviation to seaborn.</p>