title: Pandas series mean and standard deviation
body: <p>I have a list:</p>
  
  <pre><code>data = [
  {'A': [2.0, 3.0, 4.0, 5.0, 6.0], 'B':[27.0, 28.0, 29.0, 30.0], 'C': ['lic1'],
   'D': ['soy1'], 'E': ['foo1']},
  {'A': [7.0, 11.0, 90.0, 43.0, 87.0], 'B':[27.0, 28.0, 29.0, 30.0], 'C': ['lic1'],
   'D': ['soy1'], 'E': ['foo1']},
  # ... etc
  </code></pre>
  
  <p>]</p>
  
  <p>The data on 'A' is a Pandas Series.  I would like to compute the average and standard deviation for the data in 'A' (there are several records for A) for example:  (mean=(2.0+3.0+4.0+5.0+6.0+7.0+11.0+90.0+43.0+87.0)/len(A)=25.8)</p>