title: ValueError when adding row to Dataframe
body: <p>I am trying to append to a Dataframe dynamically, but get the error <code>ValueError: Incompatible Indexer with Dataframe</code> in the line <code>df.loc[count] = pandas.DataFrame(amounts).T</code>.</p>
  
  <pre><code>df = pandas.DataFrame(index=numpy.arange(0, 1), columns=required_indices_of_series)
  #This just creates a dataframe with the right columns, but with values I need to modify, which I aim to do below.
  print('1', df)
  count = 0
  for bond in bonds:
      #Some stuff here to get the Series Object `amounts` which is irrelevant.
      print('2', pandas.DataFrame(amounts).T)
      df.loc[count] = pandas.DataFrame(amounts).T
      count += 1
  </code></pre>
  
  <p><code>print('1', df)</code> returns:</p>
  
  <pre><code>     1983-05-15      1983-11-15      1984-05-15      1984-11-15
              NaN            NaN             NaN              NaN
  </code></pre>
  
  <p><code>print('2', pandas.DataFrame(amounts).T)</code> returns:</p>
  
  <pre><code>     1983-05-15      1983-11-15      1984-05-15      1984-11-15
              1            1             1              101
  </code></pre>