title: pandas dataframe from dictionary where keys are tuples of tuples of row indexes and column indexes resp
body: <p>I have my data organized as a dictionary of tuple-of-tuples keys giving the row and column names, and scalar values like the following:</p>
  <pre><code>dict{ 
         ( (row-name-tuple), (column-name-tuple) ) : scalar-value,  
         ( (row-name-tuple), (column-name-tuple) ) : scalar-value
  } 
  </code></pre>
  <p>,
  Where the scalar values are the dataframe's &quot;data cells&quot;</p>
  <p>Example:
  for these two dict entries:</p>
  <pre><code>dict= {
   ( ('240', None, '0', 'a'), ('LC', 'eugenides')): 3,
   ( ('130', '0',  '1', 'a'), ('LC', 'eugenides')): 0,
  }
  </code></pre>
  <p><a href="https://i.stack.imgur.com/rxYLv.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/rxYLv.png" alt="dataframe structure" /></a></p>
  <p>Even through the column indexes may be seen as leveled indexes, the do not necessarily need to.
  How do I do it?</p>