title: Create pandas dataframe from list of tuple of nested lists
body: <p>I have this data below, which is a list with 4 elements. These elements are tuple which items are list them self...</p>
  
  <pre><code>data = [(['a', 'b', 'c'],
    [1, 2, 3, 4, 5],
    ['aa', 'bb'],
    ['00', '03', '0000', '0006']),
   (['e', 'f', 'g'],
    [2, 1, 4, 4, 6],
    ['qq', 'er'],
    ['10', '04', '3340', '9009']),
   (['w', 'd', 'c'],
    [5, 6, 55, 1, 6],
    ['rr', 'rr'],
    ['55', '11', '6788', '7789']),
   (['l', 'a', 's'],
    [29, 2, 9, 4, 3],
    ['yy', 'uu'],
    ['33', '67', '0000', '0237'])]
  </code></pre>
  
  <p>I want to convert it to dataframe in such a way that each element is broken onto column of the dataframe. For example; <code>df = pd.DataFrame(data)</code></p>
  
  <p>will result into a dataframe with four columns. What I want is for each column to be broken into columns of the dataframe as seen below in red lines...
  <a href="https://i.stack.imgur.com/9ZXmJ.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/9ZXmJ.png" alt="enter image description here"></a></p>
  
  <p>That is to say, above dataframe will have each column sub divided into the number of items that made up the cell.</p>