title: Perform operations after styling in a dataframe
body: <p>Whenever I try to perform any operation after styling in my code, I see this error:</p>
  
  <blockquote>
    <p>AttributeError: 'Styler' object has no attribute 'drop'</p>
  </blockquote>
  
  <p>In this instance I was trying to drop a column after applying a style, in other cases I tried concatenating 2 dataframes, though it throws a similar error. I'm very new to Pandas/Python programming.</p>
  
  <p>For now I have tried to drop before I apply style, that works. But my requirement is to do this AFTER. Likewise I am trying to concatenate AFTER styling which it doesn't allow. I've reduced it to a very simple dataframe</p>
  
  <p>Code:</p>
  
  <pre><code>df = pd.DataFrame([["A", 1],["B", 2]], columns=["Letter", "Number"])
  def highlight(s):
      return ['background-color: red']
  df = df.style.apply(highlight)
  df = df.drop('Number', axis=1)  
  with pd.ExcelWriter('testcolor.xlsx') as writer: 
      df.to_excel(writer,sheet_name = 'test')
  </code></pre>
  
  <p>Error:</p>
  
  <blockquote>
    <p>AttributeError: 'Styler' object has no attribute 'drop'</p>
  </blockquote>
  
  <p>I expect the column <code>Number</code> to be removed.</p>