title: How multipe series into a dataframe with a series name per column in pandas
body: <p>I have a list of <code>pd.Series</code> with different date indexes and names as such:</p>
  <pre><code>trade_date
  2007-01-03    0.049259
  2007-01-04    0.047454
  2007-01-05    0.057485
  2007-01-08    0.059216
  2007-01-09    0.055359
                  ...   
  2013-12-24    0.021048
  2013-12-26    0.021671
  2013-12-27    0.017898
  2013-12-30    0.034071
  2013-12-31    0.022301
  Name: name1, Length: 1762, dtype: float64
  </code></pre>
  <p>I want to join this list of series into a DataFrame where each <code>Name</code> becomes a column in the DataFame and any missing indexes are set as nan.</p>
  <p>When I try <code>pd.concat(list_data)</code> I just get one really big series instead. If i create an empty DataFrame and loop over each series in my list I get an error <code>ValueError: cannot reindex from a duplicate axis</code> How can I join these into a DataFame?</p>