title: Convert txt file to dataframe using pandas
body: <p>I am trying to convert my <code>txt</code> file to pandas dataframe.
  First multiple lines are like this,</p>
  
  <pre><code>['Tue Sep 12 15:13:56 +0000 2017', 'text. ', 0, 'en', 390, 529, 7138, 15727, False, -84.395235, 33.771232]
  ['Tue Sep 12 15:13:59 +0000 2017', "text", 0, 'en', 648, 891, 2087, 5801, False, -84.321948, 33.752879]
  ['Tue Sep 12 15:14:01 +0000 2017', 'text', 0, 'en', 217, 222, 959, 958, False, -82.849182, 27.865251]
  ['Tue Sep 12 15:14:06 +0000 2017', 'text', 0, 'en', 71, 85, 2357, 1290, False, -82.29976, 27.857254]
  </code></pre>
  
  <p>Explanation for each element in each list is,</p>
  
  <pre><code>time, text, retweet_count, language, friends_count, followers_count, favourites_count, status_count, verified
  </code></pre>
  
  <p>I used <code>pandas</code>, but it does not work what I tend to.</p>
  
  <pre><code>df = pd.read_csv("second.txt", sep=',')
  </code></pre>
  
  <p>Then I have almost 100,000 columns, 0 rows. How can I convert this file to dataframe successfully?
  Thanks!</p>