class_docstr: Returns datasets included in the library in `pandas.DataFrame` or
  `~greykite.framework.input.univariate_time_series.UnivariateTimeSeries` format.
  
  Extends `~greykite.common.data_loader.DataLoader`
class_docstr_tok: ["Returns","datasets","included","in","the","library","in","`","pandas.DataFrame","`","or","`","~greykite.framework.input.univariate_time_series.UnivariateTimeSeries","`","format",".","Extends","`","~greykite.common.data_loader.DataLoader","`"]
docstr: Loads dataset by name from the internal data library.
  
  Parameters
  ----------
  data_name : `str`
      Dataset to load from the internal data library.
  
  Returns
  -------
  ts : `~greykite.framework.input.univariate_time_series.UnivariateTimeSeries`
      Has the requested ``data_name``.
docstr_tok: ["Loads","dataset","by","name","from","the","internal","data","library",".","Parameters","--","--","--","--","--","data_name",":","`","str","`","Dataset","to","load","from","the","internal","data","library",".","Returns","--","--","--","-","ts",":","`","~greykite.framework.input.univariate_time_series.UnivariateTimeSeries","`","Has","the","requested","``","data_name","``","."]
code: def load_data_ts(self, data_name, **kwargs):
      """Loads dataset by name from the internal data library.
  
      Parameters
      ----------
      data_name : `str`
          Dataset to load from the internal data library.
  
      Returns
      -------
      ts : `~greykite.framework.input.univariate_time_series.UnivariateTimeSeries`
          Has the requested ``data_name``.
      """
      if data_name == "daily_peyton_manning":
          ts = self.load_peyton_manning_ts()
      elif data_name == "hourly_parking":
          ts = self.load_parking_ts(**kwargs)
      elif data_name == "hourly_bikesharing":
          ts = self.load_bikesharing_ts()
      elif data_name == "hourly_beijing_pm":
          ts = self.load_beijing_pm_ts()
      else:
          data_inventory = self.get_data_inventory()
          raise ValueError(
              f"Input data name '{data_name}' is not recognized. "
              f"Must be one of {data_inventory}."
          )
  
      return ts
  
file_path: greykite/greykite/framework/benchmark/data_loader_ts.py
imports: from greykite.common.constants import TIME_COL
  from greykite.common.constants import VALUE_COL
  from greykite.common.data_loader import DataLoader
  from greykite.framework.input.univariate_time_series import UnivariateTimeSeries
label_desc: Use image node_id 6 for calling the DataLoaderTS obj's underlying member method code with example usage: obj.load_data_ts(data_name) and returns: ts