title: How to add a new date column derived from existing date column based on the shelf life of the products to my csv file using pandas?
body: <div class="s-table-container">
  <table class="s-table">
  <thead>
  <tr>
  <th style="text-align: left;">Room</th>
  <th style="text-align: center;">rack</th>
  <th style="text-align: right;">type</th>
  <th style="text-align: right;">no.of items</th>
  <th style="text-align: right;">manufacturing date</th>
  <th style="text-align: right;">expiry date(new column)</th>
  </tr>
  </thead>
  <tbody>
  <tr>
  <td style="text-align: left;">1</td>
  <td style="text-align: center;">2</td>
  <td style="text-align: right;">LLQ</td>
  <td style="text-align: right;">6</td>
  <td style="text-align: right;">21/3/2021</td>
  <td style="text-align: right;">-</td>
  </tr>
  <tr>
  <td style="text-align: left;">1</td>
  <td style="text-align: center;">2</td>
  <td style="text-align: right;">AZK</td>
  <td style="text-align: right;">6</td>
  <td style="text-align: right;">21/3/2021</td>
  <td style="text-align: right;">-</td>
  </tr>
  <tr>
  <td style="text-align: left;">1</td>
  <td style="text-align: center;">2</td>
  <td style="text-align: right;">CHD</td>
  <td style="text-align: right;">6</td>
  <td style="text-align: right;">21/3/2021</td>
  <td style="text-align: right;">-</td>
  </tr>
  </tbody>
  </table>
  </div>
  <ul>
  <li><p>LLQ: expires in 21 days</p>
  </li>
  <li><p>AZK: expires in 10 days</p>
  </li>
  <li><p>CHD: expires in 30 days</p>
  </li>
  </ul>
  <p>How do I use pandas to derive the corresponding expiry dates based on the product shelf life? Pls help, I am new to python, basically coding in general.</p>