code: def diabetes(display=False, n_points=None):
      """Return the diabetes data in a nice package."""
  
      d = sklearn.datasets.load_diabetes()
      df = pd.DataFrame(data=d.data, columns=d.feature_names)
      target = d.target
  
      if n_points is not None:
          df = shap.utils.sample(df, n_points, random_state=0)
          target = shap.utils.sample(target, n_points, random_state=0)
  
      return df, target
  
file_path: shap/shap/datasets.py
imports: import os
  from urllib.request import urlretrieve
  import numpy
  import pandas
  import sklearn.datasets
  import shap
label_desc: Use image node_id 6 for calling a global function with example usage: diabetes(display, n_points) and returns: df,  target