title: Using a view of columns from pandas?
body: <p>Is it possible to create a view of the values in a pandas column without making a copy? An example:</p>
  
  <pre><code>import numpy  as np
  import pandas as pd
  
  class Aclass:
      pass
  
  df = pd.DataFrame(np.random.rand(8,2),columns=['a','b'])
  </code></pre>
  
  <p>This works:</p>
  
  <pre><code>Aclass.a = df['a']
  Aclass.a is df['a']
  Out[51]: True
  </code></pre>
  
  <p>But not this:</p>
  
  <pre><code>Aclass.a = df['a'].values
  Aclass.a is df['a'].values
  Out[54]: False
  </code></pre>
  
  <p>I want to do this as a way to incrementally include pandas into a project without getting hit with too much extra memory usage.</p>