title: Reseting pandas row index to start at number other than 0?
body: <p>Currently I am trying to read in a .csv file and then use the to_html() to create a table with indexing on the side. All lines of code here:  </p>
  
  <pre><code>import pandas as pd  
  df = pd.read_csv('file.csv')  
  df.to_html('example.html')  
  </code></pre>
  
  <p>As expected I am currently getting:</p>
  
  <pre><code>   Year  Population      Annual Growth Rate 
  0  1950  2557628654      1.458   
  1  1951  2594919657      1.611  
  2  1952  2636732631      1.717  
  3  1953  2681994386      1.796   
  4  1954  2730149884      1.899 
  </code></pre>
  
  <p>However I want to start the indexing at 2 instead of 0. For example:</p>
  
  <pre><code>   Year  Population      Annual Growth Rate 
  2  1950  2557628654      1.458   
  3  1951  2594919657      1.611  
  4  1952  2636732631      1.717  
  5  1953  2681994386      1.796   
  6  1954  2730149884      1.899   
  </code></pre>
  
  <p>I know I could achieve this outcome by adding two dummy rows in the .csv file and then deleting them with df.ix[], but I do not want to do this.<br>
  Is there a way to change the indexing to start at something other than 0 without having to add or delete rows in the .csv file?  </p>
  
  <p>Thanks!</p>