title: Applying Spacy word vectorisation to list of lists of tuples
body: <p>I'm trying to apply a function to each tuple element in the following structure (list of lists containing tuples). The function is a Spacy function, and each element of each tuple is of type 'spacy.tokens.span.Span'</p>
  
  <pre><code>import spacy
  tuple_vectors = []
  
  for list_item in tuples_list: #iterate through list items
      for tuple_ in list_item: #there are sometimes multiple tuples in each list item
          for tuple_element in tuple_: #iterate through tuple elements
  
              #tuple_element to Spacy doc
              tuple_element_vector = tuple_element.vector #get vector
              tuple_vectors = tuple_vectors.append(tuple_element_vector) #update tuple_vectors
  </code></pre>
  
  <p>My current implementation returns: </p>
  
  <blockquote>
    <p>---> 11             tuple_vectors = tuple_vectors.append(tuple_element_vector) #update tuple_vectors</p>
    
    <p>AttributeError: 'NoneType' object has no attribute 'append'</p>
  </blockquote>
  
  <pre><code>tuples_list = [[(Sky proposal, is, matter), (Sky proposal, is, Mays 
  spokesman)], [(Women, 
  lag, Intel report)], [(Amazon, expected, to unveil)], [(Goldman Sachs, raising, 
  billion)], [(MHP, opens, books)], [(Disney, hurls, magic), (Disney, hurls, 
  moolah)], [(Amazon, offering, loans), (Amazon, offering, to)], [(JPMorgan, 
  seeks, billion), (JPMorgan, seeks, WaMu claims)], [(Comcast, accuses, 
  Discovery)], [(Boeing, sees, sales)], [(BRIEFNetflix Inc, reports, earnings)], 
  [(Broadcom deal, may stunt, Valley investment)], [(Apple, sell, iPads)], [(oil, 
  pull, Street)], [(Fed, tells, Goldman), (Fed, tells, to improve)], [(ideas, 
  undermine, Brexit), (ideas, undermine, Facebook)] ...
  </code></pre>