title: How to convert Pandas Dataframe to the desired Json format
body: <pre><code>start = datetime.datetime(2013, 1, 1)
  end = datetime.datetime(2013, 01, 27)
  f=web.get_data_yahoo('AAPL',start, end)
  f['Adj Close'].to_json(date_format='iso',orient='split')
  </code></pre>
  
  <p>The above code gives the following result:</p>
  
  <pre><code>Out[85]: '{"name":"Adj Close","index":["2013-01-02T00:00:00","2013-01-03T00:00:0
  0","2013-01-04T00:00:00","2013-01-07T00:00:00","2013-01-08T00:00:00","2013-01-09
  T00:00:00","2013-01-10T00:00:00","2013-01-11T00:00:00","2013-01-14T00:00:00","20
  13-01-15T00:00:00","2013-01-16T00:00:00","2013-01-17T00:00:00","2013-01-18T00:00
  :00","2013-01-22T00:00:00","2013-01-23T00:00:00","2013-01-24T00:00:00","2013-01-
  25T00:00:00"],"data":[535.58,528.82,514.09,511.06,512.44,504.43,510.68,507.55,48
  9.45,474.01,493.69,490.36,487.75,492.4,501.41,439.46,429.1]}'
  </code></pre>
  
  <p>What I want is:</p>
  
  <pre><code>'[{"index":"2013-01-02T00:00:00",value:535.58},{"index":"2013-01-04T00:00:00",value:528.82},...]'
  </code></pre>
  
  <p>Is this possible? How should I go around this?</p>