title: Interval datatype in Pandas - find midpoint, left, center etc
body: <p>In pandas 20.1, with the interval type, is it possible to find the midpoint, left or center values in a series.</p>
  
  <p><strong>For example:</strong></p>
  
  <ol>
  <li><p>Create an interval datatype column, and perform some aggregation calculations over these intervals:  </p>
  
  <pre><code>df_Stats = df.groupby(['month',pd.cut(df['Distances'], np.arange(0, 135,1))]).agg(aggregations)
  </code></pre></li>
  </ol>
  
  <p>This returns df_Stats with an interval column datatype : <code>df['Distances']</code></p>
  
  <ol start="2">
  <li><p>Now I want to associate the left end of the interval to the result of these aggregations using a series function:</p>
  
  <pre><code>df['LeftEnd'] = df['Distances'].left
  </code></pre></li>
  </ol>
  
  <p>However, I can run this element wise:</p>
  
  <pre><code>    df.loc[0]['LeftEnd'] = df.loc[0]['Distances'].left
  </code></pre>
  
  <p>This works. Thoughts?</p>