code: def get_diabete_data():
      diabetes = load_diabetes()
      X, y = diabetes["data"], diabetes["target"]
      names = diabetes["feature_names"]
      df = pd.DataFrame(X, columns=names)
      df["target"] = y
      return df
  
file_path: causalnex/tests/discretiser/conftest.py
imports: from typing import List
  import pandas
  import pytest
  from sklearn.datasets import load_diabetes, load_iris
  from causalnex.discretiser.abstract_discretiser import AbstractSupervisedDiscretiserMethod
label_desc: Use image node_id 3 for calling a global function with example usage: get_diabete_data() and returns: df