title: When I read in a Pandas Series from CSV it is turning it into a DataFrame?
body: <p>I create a pandas Series, I then output it to a CSV file. Then I try to open that CSV file in another worksheet using pandas.read_csv. I then check the type and it is now showing it as a DataFrame object??</p>
  
  <p>I tried to fix it using-</p>
  
  <pre><code>series = df.transpose()[0]
  </code></pre>
  
  <p>and</p>
  
  <pre><code>df.ix[0]
  </code></pre>
  
  <p>but this did not work for me.</p>
  
  <p>Any help is appreciated, thanks!</p>
  
  <p>Here is an example of my problem-</p>
  
  <p>I output my series to CSV and the CSV sheet then looks like this-</p>
  
  <pre><code>a,2
  b,4
  c,6
  d,8
  e,10
  </code></pre>
  
  <p>I then read the CSV into another worksheet using pd.read_csv(" ").
  When I print this out here is what shows up-</p>
  
  <pre><code>   a  2
  0  b  4
  1  c  6
  2  d  8
  3  e  10
  </code></pre>
  
  <p>it is now a dataframe, and it now has columns "a" and "2", I can do header=None when reading the CSV to get rid of the columns...but the index is still 0,1,2,3 and its a dataframe.</p>