title: Transform a dataframe with comma thousand separator to space separator Pandas
body: <p>I have an issue with format in Pandas. So, I have a Column in A DataFrame witch countains numbers with a comma seperator like (200,000). So I would like to transfom this in (200 000).</p>
  <p>The easy way it's to use the replace function but I want also to transform the type into Integer. It's not working because there are spaces between.</p>
  <p>In the end, I just want to do a ranking with descending sorted values ​​like this:</p>
  <div class="s-table-container">
  <table class="s-table">
  <thead>
  <tr>
  <th>Id</th>
  <th>Villas</th>
  <th>Price_nospace</th>
  </tr>
  </thead>
  <tbody>
  <tr>
  <td>3</td>
  <td>Peace</td>
  <td>35000000</td>
  </tr>
  <tr>
  <td>3</td>
  <td>Peace</td>
  <td>35000000</td>
  </tr>
  <tr>
  <td>2</td>
  <td>Rosa</td>
  <td>27000000</td>
  </tr>
  <tr>
  <td>1</td>
  <td>Beach</td>
  <td>25000000</td>
  </tr>
  <tr>
  <td>0</td>
  <td>Palm</td>
  <td>22000000</td>
  </tr>
  </tbody>
  </table>
  </div>
  <p>As you can see, It's not easy to read the price without separator. So I would like to make the price more readable. But when I have space separator I can't convert to Int.
  And If I don't convert to integer, I can use sort_values function. So I am stuck.</p>
  <p>Thank you for your help.</p>