title: Python pandas: converting column values into other columns
body: <p>I have dataframe which looks like below:</p>
  <p>df:</p>
  <pre><code>    Review_Text                                                 Noun                                        Thumbups
      Would be nice to be able to import files from ...   [My, Tracks, app, phone, Google, Drive, import...   1.0
      No Offline Maps! It used to have offline maps ...   [Offline, Maps, menu, option, video, exchange,...   18.0
      Great application. Designed with very well tho...   [application, application]                          16.0
      Great App. Nice and simple but accurate. Wish ...   [Great, App, Nice, Exported]                        0.0
      Save For Offline - This does not work. The rou...   [Save, Offline, route, filesystem]                  12.0
      Since latest update app will not run. Subscrip...   [update, app, Subscription, March, application]     9.0
      Great app. Love it! And all the things it does...   [Great, app, Thank, work]                           1.0
      I have paid for subscription but keeps telling...   [subscription, trial, period]                       0.0
      Error: The route cannot be save for no locatio...   [Error, route, i, GPS]                              0.0
      When try to restore my tracks it says &quot;unable ...   [try, file, locally-1]                              0.0
      Was a good app but since the update it only re...   [app, update, metre]                                2.0
  </code></pre>
  <p>based on 'Noun' Column values, I want to create other columns. For example, all values of noun column from first row become columns and those columns contain value of 'Thumbups' column value. If the column name already present in dataframe then it adds 'Thumbups' value into the existing value of the column.</p>
  <p>I was trying to implement by using pivot_table :</p>
  <pre><code>pd.pivot_table(latest_review,columns='Noun',values='Thumbups')
  </code></pre>
  <p>But got following error:</p>
  <pre><code>TypeError: unhashable type: 'list'
  </code></pre>
  <p>Could anyone help me in fixing the issue?</p>