code: def df_daily():
      dl = DataLoader()
      data = dl.load_peyton_manning()
      data[TIME_COL] = pd.to_datetime(data[TIME_COL])
      return data
  
imports: import numpy
  import pandas
  import pytest
  from greykite.algo.common.holiday_grouper import HolidayGrouper
  from greykite.algo.forecast.silverkite.auto_config import get_auto_growth
  from greykite.algo.forecast.silverkite.auto_config import get_auto_holidays
  from greykite.algo.forecast.silverkite.auto_config import get_auto_seasonality
  from greykite.common.constants import EVENT_DF_DATE_COL
  from greykite.common.constants import EVENT_DF_LABEL_COL
  from greykite.common.constants import TIME_COL
  from greykite.common.constants import VALUE_COL
  from greykite.common.data_loader import DataLoader
  from greykite.common.features.timeseries_features import get_holidays
  from greykite.common.python_utils import assert_equal
label_desc: Use image node_id 1 for calling a global function with example usage: df_daily() and returns: data