title: Add new column based on a list and sort date by newest
body: <p>i'm a beginner in write code with python.</p>
  
  <p>I wrote this simple script using Pandas and his DataReader to retrieve multiple stock results from yahoo finance:</p>
  
  <pre><code>import pandas as pd
  from pandas.io.data import DataReader
  from pandas import DataFrame
  
  symbols_list = ['AAPL', 'TSLA', 'YHOO','GOOG', 'MSFT','GILD']
  
  for ticker in symbols_list: 
  r = DataReader(ticker, "yahoo", '2015-01-20')
  cell= r[['Open','High','Low','Adj Close','Volume']]
  
  print cell
  </code></pre>
  
  <p>With this code i obtain the price stocks with the date + the others column that i specified in "cell= r[[...." as shown below:</p>
  
  <pre><code>                      Open    High     Low  Adj Close    Volume
           Date                                                   
           2015-01-20  107.84  108.97  106.50     108.72  49899900
           2015-01-21  108.95  111.06  108.27     109.55  48575900
           2015-01-22  110.26  112.47  109.72     112.40  53796400
           2015-01-23  112.30  113.75  111.53     112.98  46464800
           2015-01-26  113.74  114.36  112.80     113.10  55375900
                         Open    High     Low  Adj Close   Volume
           Date                                                  
           2015-01-20  193.87  194.12  187.04     191.93  4489400
           2015-01-21  189.55  198.68  189.51     196.57  4144000
           2015-01-22  197.00  203.24  195.20     201.62  4094100
           2015-01-23  200.29  203.50  198.33     201.29  3438600
           2015-01-26  201.83  208.62  201.05     206.55  3224500
  </code></pre>
  
  <p>My questions are: how can i include in the columns the tickers that i specified in the symbol_list?
  And a last thing: how can i invert the order of the dates? i want it to show the newest first (2015-01-26 in my example).
  Below i show you an example of what i want to obtain (the ticker name as first column and the date order inverted)</p>
  
  <pre><code>  TSLA 2015-01-26 201.83 208.62 201.05 206.55 3224500
    TSLA 2015-01-23 200.29 203.50 198.33 201.29 3438600
    TSLA 2015-01-22 197.00 203.24 195.20 201.62 4094100
    TSLA,2015-01-21 189.55 198.68 189.51 196.57 4144000
    TSLA 2015-01-20 193.87 194.12 187.04 191.93 4489400
  
    AAPL 2015-01-26 113.74 114.36 112.80 113.10 55375900
    AAPL 2015-01-23 112.30 113.75 111.53 112.98 46464800
    AAPL 2015-01-22 110.26 112.47 109.72 112.40 53796400
    AAPL 2015-01-21 108.95 111.06 108.27 109.55 48575900
    AAPL 2015-01-20 107.84 108.97 106.50 108.72 49899900
  </code></pre>
  
  <p>I tried a few things founded in forums, but none of that gave me any result.
  Thank you all for your consideration, hope that someone can give me an hand on this 2 issues.</p>