code: def load_pandas():
      """
      Loads the Grunfeld data and returns a Dataset class.
  
      Returns
      -------
      Dataset
          See DATASET_PROPOSAL.txt for more information.
  
      Notes
      -----
      raw_data has the firm variable expanded to dummy variables for each
      firm (ie., there is no reference dummy)
      """
      data = _get_data()
      data.year = data.year.astype(float)
      raw_data = pd.get_dummies(data)
      ds = du.process_pandas(data, endog_idx=0)
      ds.raw_data = raw_data
      return ds
  
imports: import pandas
  from statsmodels.datasets import utils
label_desc: Use image node_id 2 for calling a global function with example usage: load_pandas() and returns: ds