code: def _get_data():
      data = du.load_csv(__file__, "data.csv")
      for i, val in enumerate(data.period):
          parts = val.split("Q")
          month = (int(parts[1]) - 1) * 3 + 1
  
          data.loc[
              data.index[i], "period"
          ] = f"{parts[0]}-{month:02d}-01"
      data["period"] = pd.to_datetime(data.period)
      return data.set_index("period").astype(float)
  
imports: import pandas
  from statsmodels.datasets import utils
label_desc: Use image node_id 3 for calling a global function with example usage: _get_data() and returns: data