title: dictionary from IDs based on an ID column to multiple columns of time series data in pandas
body: <p>I have a unique type of excel sheet where the first column has IDs and the other columns are date, param1(@dates), param2(@dates), param3(@dates).</p>
  
  <p>For storing, plotting, processing, accessing, and clustering of this dataset I am thinking of making a dictionary from ID strings as keys to different time series columns. </p>
  
  <p>Can you think of a more efficient way of loading this type of dataset, that makes further plotting, processing, accessing, and clustering easier?</p>
  
  <p>I also thought of creating separate excel sheet for each ID, but again loading them does not seem to be that efficient.</p>
  
  <pre><code>IDS   date  param1   param2  param3 
  A    1-June
  A    1-July
  A    1-Aug
  A    1-Sept
  B    1-June
  B    1-July
  B    1-Aug
  B    1-Sept
  </code></pre>