code: def iris(display=False):
      
  
      d = sklearn.datasets.load_iris()
      df = pd.DataFrame(data=d.data, columns=d.feature_names) # pylint: disable=E1101
      if display:
          return df, [d.target_names[v] for v in d.target] # pylint: disable=E1101
      else:
          return df, d.target
docs: Return the classic iris data in a nice package.