title: TypeError: 'NoneType' object is not subscriptable when creating a pd.Dataframe dictionary
body: <p><strong>The error I am receiving is : TypeError: 'NoneType' object is not subscriptable</strong></p>
  
  <p>In this Method I am trying to do string matching along two files (test&amp;master).
  The master file contains correctly spelled product names, while the test file contains misspelling or simply differently spelled versions of those products.
  I am trying to match those together with the extractBests function to include a cutoff at a certain score. Also if I am printing earlier steps of my output, for example the fhp_new variable it still works.</p>
  
  <p>I think the error is somehow caused by the fact, that some rows to not give any matches that are within the score_cutoff limit, because I don't get the error when I put the limit on say 20. So in theory those rows should just stay empty, but this causes the error I think.</p>
  
  <p><strong>This line of code is causing the error:</strong></p>
  
  <pre><code>for x in range (1, num_match + 1):
              d["Match{0}".format(x)] = [y[0] for y in aggregated_matches["Match" + str(x)]]
  </code></pre>
  
  <p>This is the full Code until the line of error    </p>
  
  <pre><code>def StringMatch (master, testfile, num_match=3, score_cutoff=95, limit=3):
          master_names = master.iloc[:,3]
          test_names = testfile.iloc[:,0]    
          fhp_new = [process.extractBests(x, master_names, score_cutoff=score_cutoff,limit=limit) for x in test_names]
          lab=" "
          i=1
  
          while i&lt;=num_match:
              lab = lab + " " + "Match" + str(i)
              i = i+1
          aggregated_matches = pd.DataFrame(fhp_new, columns = lab.split())
  
          d={}
          for x in range (1, num_match + 1):
              d["Match{0}".format(x)] = [y[0] for y in aggregated_matches["Match" + str(x)]]
          print(d)
  </code></pre>