title: Pandas python .describe() formatting/output
body: <p>I am trying to get the <code>.describe()</code> function to output in a reformatted way.
  Here is the csv data (<code>testProp.csv</code>)</p>
  
  <pre><code>'name','prop'
  A,1
  A,2
  B,  4
  A,  3
  B,  5
  B,  2
  </code></pre>
  
  <p>when I type in the following:</p>
  
  <pre><code>from pandas import *
  
  data = read_csv('testProp.csv')
  
  temp = data.groupby('name')['prop'].describe()
  temp.to_csv('out.csv')
  </code></pre>
  
  <p>the output is:</p>
  
  <pre><code>name       
  A     count    3.000000
        mean     2.000000
        std      1.000000
        min      1.000000
        25%      1.500000
        50%      2.000000
        75%      2.500000
        max      3.000000
  B     count    3.000000
        mean     3.666667
        std      1.527525
        min      2.000000
        25%      3.000000
        50%      4.000000
        75%      4.500000
        max      5.000000
  dtype: float64
  </code></pre>
  
  <p>However, I want the data in the format below. I have tried <code>transpose()</code> and would like to maintain using the <code>describe()</code> and manipulate that instead of <code>a .agg([np.mean(), np.max(), etc.... )</code>:</p>
  
  <pre><code>    count   mean    std min 25% 50% 75% max
  A   3   2   1   1   1.5 2   2.5 3
  B    3  3.666666667 1.527525232 2   3   4   4.5 5
  </code></pre>