title: How do you read in a dataframe with lists using pd.read_clipboard?
body: <p>Here's some data from another <a href="https://stackoverflow.com/questions/45827199/find-the-name-of-the-column-in-a-pandas-df-which-contains-the-longest-list/45827215">question</a>:</p>
  
  <pre><code>                          positive                 negative          neutral
  1   [marvel, moral, bold, destiny]                       []   [view, should]
  2                      [beautiful]      [complicated, need]               []
  3                      [celebrate]   [crippling, addiction]            [big]
  </code></pre>
  
  <p>What I would do first is to add quotes across all words, and then:</p>
  
  <pre><code>import ast
  
  df = pd.read_clipboard(sep='\s{2,}')
  df = df.applymap(ast.literal_eval)
  </code></pre>
  
  <p>Is there a smarter way to do this?</p>