title: TF-IDF Weightings for Each Pandas Column
body: <p>I am implementing TF-IDF. I have a dataset that has the following layout:</p>
  <pre><code>
  | Index | Last Name   | Company       | Email                  | 
  |:----- |:----------  | :-----------  | :----------------------|
  | 1     | Cohen       |Microsoft      | gcohen@microsoft.com   |
  | 2     | Edward      |Microsoft      | eedward@microsoft.com  |
  | 3     | Cohen       |Halcyon Coffee | gcohen@halconcoffee.com|
  </code></pre>
  <p>In this example, I would actually consider Row 1 and Row 2 to have a closer relationship than Row 1 and Row 3. Obviously, this means that I am weighing Company a lot more heavily.</p>
  <p>When implementing TF-IDF, I am struggling to understand how I can make sure that the Column &quot;Company&quot; is holding twice as much weight over Last Name.</p>