title: Is it possible to Skip Blank Lines in a Dataframe? If Yes then how I can do this
body: <p>I am trying to run this code</p>
  
  <pre><code>num = df_out.drop_duplicates(subset=['Name', 'No.']).groupby.(['Name']).size()
  </code></pre>
  
  <p>But when I do I get this error:</p>
  
  <pre><code>ValueError: not enough values to unpack (expected 2, got 0)
  </code></pre>
  
  <p>If we think about my dataframe(df_out) as an excel file I do have blank cells but no full column or full row is blank. I needed to skip the blank lines to run the code without changing the dataframe's structure. </p>
  
  <p>Is this possible?</p>
  
  <p>Thank you</p>