title: Identifying overlapping rows in multiple dataframes
body: <p>I have two dataframes like </p>
  
  <p>df1</p>
  
  <pre><code>Time      accler
  19.13.33  24
  19.13.34  24
  19.13.35  25
  19.13.36  27
  19.13.37  25
  19.13.38  27
  19.13.39  25
  19.13.40  24
  </code></pre>
  
  <p>df2</p>
  
  <pre><code> Time      accler
  19.13.29  24
  19.13.30  24
  19.13.31  25
  19.13.32  27
  19.13.33  25
  19.13.34  27
  19.13.35  25
  19.13.36  24
  </code></pre>
  
  <p>These two data frames overlap over column time from 19.13.33 to 19.13.36. So when ever there is a overlap  I wanted only the dataframe which consists of the overlapped rows</p>
  
  <p>expected output</p>
  
  <p>df1</p>
  
  <pre><code> Time      accler
  19.13.33  24
  19.13.34  24
  19.13.35  25
  19.13.36  27
  </code></pre>
  
  <p>df2</p>
  
  <pre><code>Time      accler
  19.13.33  25
  19.13.34  27
  19.13.35  25
  19.13.36  24
  </code></pre>
  
  <p>or I can also have a <code>concat</code> of the dataframes which will be helpful for further processing. </p>
  
  <p>I tried <code>merge</code> but did not work as the dataframes are created dynamically depending on the number of csv files. I tried concatenating first all the dataframes and tried to iterate over the rows but did not find a way.</p>