title: Matplotlib - Boxplot calculated on log10 values but shown in logarithmic scale
body: <p>I think this is a simple question, but I just still can't seem to think of a simple solution. I have a set of data of molecular abundances, with values ranging many orders of magnitude. I want to represent these abundances with <code>boxplots</code> (<code>box-and-whiskers plots</code>), and I want the boxes to be calculated on log scale because of the wide range of values. 
  I know I can just calculate the log10 of the data and send it to matplotlib's <code>boxplot</code>, but this does not retain the logarithmic scale in plots later. </p>
  
  <p>So my question is basically this:
  When I have calculated a boxplot based on the log10 of my values, how do I convert the plot afterward to be shown on a logarithmic scale instead of linear with the log10 values?
  I can change tick labels to partly fix this, but I have no clue how I get logarithmic scales back to the plot. </p>
  
  <p>Or is there another more direct way to plotting this. A different package maybe that has this options already included?</p>
  
  <p>Many thanks for the help. </p>