title: Get particular row as series from pandas dataframe
body: <p>How do we get a particular filtered row as series?</p>
  
  <p>Example dataframe:</p>
  
  <pre><code>&gt;&gt;&gt; df = pd.DataFrame({'date': [20130101, 20130101, 20130102], 'location': ['a', 'a', 'c']})
  &gt;&gt;&gt; df
         date location
  0  20130101        a
  1  20130101        a
  2  20130102        c
  </code></pre>
  
  <p>I need to select the row where <code>location</code> is <code>c</code> <strong>as a series</strong>.</p>
  
  <p><strong>I tried:</strong></p>
  
  <pre><code>row = df[df["location"] == "c"].head(1)  # gives a dataframe
  row = df.ix[df["location"] == "c"]       # also gives a dataframe with single row
  </code></pre>
  
  <p>In either cases I can't the row as series.</p>