title: How to get indices of a value in a hierarchical index series in pandas
body: <p>Suppose I have this data structure called <code>test</code>:</p>
  
  <pre><code>12    2     80.0
        4      2.0
        6      8.0
        7     15.0
        8     26.0
              ... 
  1095  12    59.0
        15     2.0
  1098  8      6.0
        13    16.0
  1128  13    32.0
  Length: 62, dtype: float
  </code></pre>
  
  <p>which is of type: <code>pandas.core.series.Series
  </code></p>
  
  <p>Now all I want is the actual coordinates of the values in the right-hand column. I.e.</p>
  
  <pre><code>&gt;&gt;&gt;test[0]
  80.0
  </code></pre>
  
  <p>Then I would like to know how I actually access the hierarchical index for this (and all other values), preferably so that it can be returned as a pair:</p>
  
  <pre><code>&gt;&gt;&gt;test[0].method_which_returns_the_desired_indices()
  (12,2)
  </code></pre>
  
  <p>And of course, the same for the rest of them i.e. </p>
  
  <pre><code>&gt;&gt;&gt;test[2].method_which_returns_the_desired_indices()
  (12,6)
  </code></pre>
  
  <p>How would one go about this? If it helps the <code>test</code> series was constructed from another pandas data frame using <code>stack()</code>.</p>