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`
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docstr: Loads the Daily Peyton Manning dataset.
  
  This dataset contains log daily page views for the Wikipedia page for Peyton Manning.
  One of the primary datasets used for demonstrations by Facebook ``Prophet`` algorithm.
  Source: https://github.com/facebook/prophet/blob/master/examples/example_wp_log_peyton_manning.csv
  
  Below is the dataset attribute information:
  
      ts : date of the page view
      y : log of the number of page views
  
  Returns
  -------
  ts : `~greykite.framework.input.univariate_time_series.UnivariateTimeSeries`
      Peyton Manning page views data. Time and value column:
  
          ``time_col`` : "ts"
              Date of the page view.
          ``value_col`` : "y"
              Log of the number of page views.
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code: def load_peyton_manning_ts(self):
      """Loads the Daily Peyton Manning dataset.
  
      This dataset contains log daily page views for the Wikipedia page for Peyton Manning.
      One of the primary datasets used for demonstrations by Facebook ``Prophet`` algorithm.
      Source: https://github.com/facebook/prophet/blob/master/examples/example_wp_log_peyton_manning.csv
  
      Below is the dataset attribute information:
  
          ts : date of the page view
          y : log of the number of page views
  
      Returns
      -------
      ts : `~greykite.framework.input.univariate_time_series.UnivariateTimeSeries`
          Peyton Manning page views data. Time and value column:
  
              ``time_col`` : "ts"
                  Date of the page view.
              ``value_col`` : "y"
                  Log of the number of page views.
      """
      df = self.load_peyton_manning()
      ts = UnivariateTimeSeries()
      ts.load_data(
          df=df, time_col=TIME_COL, value_col=VALUE_COL, freq="1D"
      )
      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 2 for calling the DataLoaderTS obj's underlying member method code with example usage: obj.load_peyton_manning_ts() and returns: ts