title: How to convert a pandas DataFrame into a TimeSeries?
body: <p>I am looking for a way to convert a DataFrame to a TimeSeries without splitting the index and value columns. Any ideas? Thanks.</p>
  
  <pre><code>In [20]: import pandas as pd
  
  In [21]: import numpy as np
  
  In [22]: dates = pd.date_range('20130101',periods=6)
  
  In [23]: df = pd.DataFrame(np.random.randn(6,4),index=dates,columns=list('ABCD'))
  
  In [24]: df
  Out[24]:
                     A         B         C         D
  2013-01-01 -0.119230  1.892838  0.843414 -0.482739
  2013-01-02  1.204884 -0.942299 -0.521808  0.446309
  2013-01-03  1.899832  0.460871 -1.491727 -0.647614
  2013-01-04  1.126043  0.818145  0.159674 -1.490958
  2013-01-05  0.113360  0.190421 -0.618656  0.976943
  2013-01-06 -0.537863 -0.078802  0.197864 -1.414924
  
  In [25]: pd.Series(df)
  Out[25]:
  0    A
  1    B
  2    C
  3    D
  dtype: object
  </code></pre>