title: Embedding a range in a pandas series
body: <p>I have a table of 14 columns and I want to pull select ones into a new dataframe. 
  Let's say I want column 0 then column 8-14</p>
  
  <pre><code>  dfnow = pd.Series([df.iloc[row_count,0], \
                      df.iloc[row_count,8], \
                      df.iloc[row_count,9], \
                      ....
  </code></pre>
  
  <p>Works but seems clumsy</p>
  
  <p>I'd like to write </p>
  
  <pre><code>  dfnow = pd.Series([df.iloc[row_count,0], \
            df.iloc[row_count, range (8, 14)]])
  </code></pre>
  
  <p>But this throws a ValueError: Wrong number of items passed</p>
  
  <p>Now, from the answer below, I know I can create two separate sereis and concatenate them, but that seems a little sub-optimal as well. </p>
  
  <p><a href="https://stackoverflow.com/questions/12504493/adding-pandas-series-with-different-indices-without-getting-nans">Adding pandas Series with different indices without getting NaNs</a></p>