title: python, newspaper,unhashable type: 'tzutc' and writing to dataframe
body: <p>I have a bunch of urls that I want to download the text and do some further analysis.  I am a python newbie. I have two problems: (1) I have a really weird type error; and (2) the results are not being written to the data frame. My code is as follows:</p>
  
  <pre><code>smallURL= ['http://www.walesonline.co.uk/business/business-news/more-70-jobs-created-bio-12836127','http://economictimes.indiatimes.com/articleshow/61006825.cms?utm_source=contentofinterest&amp;utm_medium=text&amp;utm_campaign=cppst','http://100seguro.com.ar/telefonica-pone-en-venta-su-aseguradora-antares-vida/','http://13wham.com/news/local/urmc-opens-newest-urgent-care-facility']
  
  import pandas
  import datetime
  
  
  f = open('myfile', 'w')
  
  #lista= ['http://www.walesonline.co.uk/business/business-news/more-70-jobs-created-bio-12836127','http://economictimes.indiatimes.com/articleshow/61006825.cms?utm_source=contentofinterest&amp;utm_medium=text&amp;utm_campaign=cppst','http://100seguro.com.ar/telefonica-pone-en-venta-su-aseguradora-antares-vida/','http://13wham.com/news/local/urmc-opens-newest-urgent-care-facility']
  
  df = pandas.DataFrame(columns=('d', 'datetime', 'title', 'text','keywords', 'url'))
  
  from newspaper import Article 
  
  for index in range(len(smallURL)):
  
  #url = "https://www.bloomberg.com/news/articles/2017-11-10/microsoft-and-google-turn-to-ai-to-catch-amazon-in-the-cloud"
      article = Article(smallURL[index])
  #1 . Download the article
      #try:
      article.download()
      #f.write('article.title+\n')
      #except:
      #pass
  #2. Parse the article
      try:
          article.parse()
          f.write('article.title+\n')
      except:
          pass
  #Print article title
      #print(article.title)
      article.title
  #3. Fetch Author Name(s)
      print(article.authors)
  #4. Fetch Publication Date
      if article.publish_date is None:
          d = datetime.datetime.now().date()
      else:
          d = article.publish_date
  #5. Print article text
      print(article.text)
  #6. Natural Language Processing on Article to fetch Keywords
      #article.nlp()
      #Print Keywords
      print(article.keywords)
  #7. Generate Summary of the article
      #print(article.url)
      print(article.url)
      df.loc[index]  = [d, datetime.datetime.now().date(), article.title, article.text,article.keywords,article.url]
  </code></pre>
  
  <p>My output includes:</p>
  
  <p>[]
  <a href="http://100seguro.com.ar/telefonica-pone-en-venta-su-aseguradora-antares-vida/" rel="nofollow noreferrer">http://100seguro.com.ar/telefonica-pone-en-venta-su-aseguradora-antares-vida/</a>
  Traceback (most recent call last):</p>
  
  <p>File "", line 1, in 
      runfile('C:/Users/theiman/Desktop/untitled7.py', wdir='C:/Users/theiman/Desktop')</p>
  
  <p>File "C:\Users\theiman\AppData\Local\Continuum\anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 710, in runfile
      execfile(filename, namespace)</p>
  
  <p>File "C:\Users\theiman\AppData\Local\Continuum\anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 101, in execfile
      exec(compile(f.read(), filename, 'exec'), namespace)</p>
  
  <p>File "C:/Users/theiman/Desktop/untitled7.py", line 57, in 
      df.loc[index]  = [d, datetime.datetime.now().date(), article.title, article.text,article.keywords,article.url]</p>
  
  <p>File "C:\Users\theiman\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\indexing.py", line 179, in <strong>setitem</strong>
      self._setitem_with_indexer(indexer, value)</p>
  
  <p>File "C:\Users\theiman\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\indexing.py", line 425, in _setitem_with_indexer
      self.obj._data = self.obj.append(value)._data</p>
  
  <p>File "C:\Users\theiman\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\frame.py", line 4533, in append
      other = other._convert(datetime=True, timedelta=True)</p>
  
  <p>File "C:\Users\theiman\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\generic.py", line 3472, in _convert
      copy=copy)).<strong>finalize</strong>(self)</p>
  
  <p>File "C:\Users\theiman\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\internals.py", line 3227, in convert
      return self.apply('convert', **kwargs)</p>
  
  <p>File "C:\Users\theiman\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\internals.py", line 3091, in apply
      applied = getattr(b, f)(**kwargs)</p>
  
  <p>File "C:\Users\theiman\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\internals.py", line 1892, in convert
      values = fn(values.ravel(), **fn_kwargs)</p>
  
  <p>File "C:\Users\theiman\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\dtypes\cast.py", line 740, in soft_convert_objects
      values = lib.maybe_convert_objects(values, convert_datetime=datetime)</p>
  
  <p>File "pandas/_libs/src\inference.pyx", line 1204, in pandas._libs.lib.maybe_convert_objects</p>
  
  <p>TypeError: unhashable type: 'tzutc'</p>
  
  <p>Any idea on what is going wrong and how I can fix it?  Thank you!!</p>