title: Loading SKLearn cancer dataset into Pandas DataFrame
body: <p>I'm trying to load a sklearn.dataset, and missing a column, according to the keys (target_names, target &amp; DESCR). I have tried various methods to include the last column, but with errors. </p>
  
  <pre><code> import numpy as np
   import pandas as pd
   from sklearn.datasets import load_breast_cancer
  
   cancer = load_breast_cancer()
   print cancer.keys()
  </code></pre>
  
  <blockquote>
    <p>the keys are ['target_names', 'data', 'target', 'DESCR', 'feature_names']</p>
  </blockquote>
  
  <pre><code> data = pd.DataFrame(cancer.data, columns=[cancer.feature_names])
   print data.describe()
  </code></pre>
  
  <p>with the code above, it only returns 30 column, when I need 31 columns. What is the best way load scikit-learn datasets into pandas DataFrame.</p>