title: Insert result of sklearn CountVectorizer in a pandas dataframe
body: <p>I have a bunch of 14784 text documents, which I am trying to vectorize, so I can run some analysis. I used the <code>CountVectorizer</code> in sklearn, to convert the documents to feature vectors. I did this by calling:</p>
  
  <pre><code>vectorizer = CountVectorizer
  features = vectorizer.fit_transform(examples)
  </code></pre>
  
  <p>where examples is an array of all the text documents</p>
  
  <p>Now, I am trying to use additional features. For this, I am storing the features in a pandas dataframe. At present, my pandas dataframe(without inserting the text features) has the shape <code>(14784, 5)</code>. The shape of my feature vector is <code>(14784, 21343)</code>.</p>
  
  <p>What would be a good way to insert the vectorized features into the pandas dataframe?</p>