Interval datatype in Pandas - find midpoint, left, center etc : <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>
