title: How to sum a row from two dataframe that has the row with certain same value in Pandas Dataframe
body: <p>Expected output is a dataframe:</p>
  <div class="s-table-container">
  <table class="s-table">
  <thead>
  <tr>
  <th>Dates</th>
  <th>Total Revenue</th>
  </tr>
  </thead>
  <tbody>
  <tr>
  <td>2019-11-01</td>
  <td>59946202</td>
  </tr>
  <tr>
  <td>2019-11-02</td>
  <td>95429717</td>
  </tr>
  <tr>
  <td>2019-11-03</td>
  <td>89662309</td>
  </tr>
  <tr>
  <td>...</td>
  <td>...</td>
  </tr>
  <tr>
  <td>2020-03-31</td>
  <td>6687349</td>
  </tr>
  </tbody>
  </table>
  </div>
  <p>Dataframe 1:</p>
  <p><a href="https://i.stack.imgur.com/auoRF.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/auoRF.png" alt="enter image description here" /></a></p>
  <p>Dataframe 2:</p>
  <p><a href="https://i.stack.imgur.com/0lxes.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/0lxes.png" alt="enter image description here" /></a></p>