title: Uncertainties in Pandas
body: <p>How to handle easily uncertainties on Series or DataFrame in <a href="http://pandas.pydata.org/" rel="noreferrer">Pandas</a> (Python Data Analysis Library) ? I recently discovered the Python <a href="http://packages.python.org/uncertainties/index.html" rel="noreferrer">uncertainties</a> package but I am wondering if there is any simpler way to manage uncertainties directly within Pandas. I didn't find anything about this in the documentation.</p>
  
  <p>To be more precise, I don't want to store the uncertainties as a new column in my DataFrame because I think they are part of a data series and shouldn't be logically separated from it. For example, it doesn't make any sense deleting a column in a DataFrame but not its uncertainties, so I have to handle this case by hand.</p>
  
  <p>I was looking for something like <code>data_frame.uncertainties</code> which could work like the <code>data_frame.values</code> attribute. A <code>data_frame.units</code> (for data units) would be great too but I think those things don't exist in Pandas (yet?)...</p>