title: Pandas dataframe values return Nonetype
body: <p>I'm trying out this Python API for google trends. it created a pandas dataframe where the first column is the date and the others the keywords in kw_list, the values representing how much people search for the keywords.</p>
  
  <p><a href="https://github.com/GeneralMills/pytrends" rel="nofollow noreferrer">https://github.com/GeneralMills/pytrends</a></p>
  
  <p>This is my code</p>
  
  <pre><code>from pytrends.request import TrendReq
  
  
  # Login to Google. Only need to run this once, the rest of requests will use the same session.
  pytrend = TrendReq()
  
  # Create payload and capture API tokens.
  
  pytrend.build_payload(kw_list=['adele', 'wat'])
  
  interest_over_time_df = pytrend.interest_over_time()
  
  c = print(interest_over_time_df.iloc[-1]['adele'])
  print(c)
  </code></pre>
  
  <p>This outputs '5'. However, the type is Nonetype, so I can't compare this value to other values. How can I get the output as an integer?</p>