title: Created Nested Dictionary using data from Pandas DataFrame
body: <p>I've data stored in pandas dataframe and I want to create a nested dictionary using that data. The data looks like as follows:</p>
  <pre><code>+---------+------+----------+----------+---------------+-------+
  | Product | Zone |  start   |   end    |      seq      | store |
  +---------+------+----------+----------+---------------+-------+
  | A       | E/A  | 08:00:00 | 17:40:00 | 0, 1, 2, 3, 4 | Z,X   |
  | B       | A/N  | 08:30:00 | 16:00:00 | 0, 1, 2, 3, 4 | BB    |
  | AS      | A/S  | 11:00:00 | 16:00:00 | 0, 1, 2, 3, 4 | CD,DD |
  +---------+------+----------+----------+---------------+-------+
  </code></pre>
  <p>Using the data above stored in pandas dataframe I want to create a nested python dict. If created dict is named stores than output from following code is shown below:</p>
  <pre><code>for store in list(stores.items()):
      print(store)
  </code></pre>
  <p>Desired Output:</p>
  <pre><code>('A', {'Zone': 'E/A', 'tp': [{'start': [8, 0], 'end': [17, 40], 'seq': [0, 1, 2, 3, 4]}], 'store': ['Z','X']})
  ('B', {'Zone': 'A/N', 'tp': [{'start': [8, 30], 'end': [16, 0], 'seq': [0, 1, 2, 3, 4]}], 'store': ['BB']})
  ('AS', {'Zone': 'A/S', 'tp': [{'start': [11, 0], 'end': [16, 0], 'seq': [0, 1, 2, 3, 4]}], 'store': ['CD', 'DD']})
  </code></pre>
  <p>I am looking for a solution that takes pandas data frame as input and gives results as shown above.</p>