class_docstr: Returns datasets included in the library in `pandas.DataFrame` format.
  
  Attributes
  ----------
  available_datasets : `list` [`str`]
      The names of the available datasets.
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docstr: Loads the Sunspot dataset.
  
  This dataset contains the number of observed sunspots from 1818 to 2020
  published by Monash.
  The original dataset was a daily series, and we aggregate it to a
  monthly time series more than 200 years long.
  Source: https://zenodo.org/record/4654722#.YrpQ4uzMLGp
  
  Below is the dataset attribute information:
  
      ts : month start date
      y : average number of sunspots
  
  Returns
  -------
  df : `pandas.DataFrame` object with Sunspot data.
      Has the following columns:
  
          "ts" : date
          "y" : average number of sunspots
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code: def load_sunspot(self):
      """Loads the Sunspot dataset.
  
      This dataset contains the number of observed sunspots from 1818 to 2020
      published by Monash.
      The original dataset was a daily series, and we aggregate it to a
      monthly time series more than 200 years long.
      Source: https://zenodo.org/record/4654722#.YrpQ4uzMLGp
  
      Below is the dataset attribute information:
  
          ts : month start date
          y : average number of sunspots
  
      Returns
      -------
      df : `pandas.DataFrame` object with Sunspot data.
          Has the following columns:
  
              "ts" : date
              "y" : average number of sunspots
      """
      data_path = self.get_data_home(
          data_dir=None, data_sub_dir="monthly"
      )
      df = self.get_df(
          data_path=data_path, data_name="monthly_sunspot_monash"
      )
      return df
  
imports: import datetime
  import os
  import warnings
  from pathlib import Path
  import pandas
  from greykite.common.constants import TIME_COL
label_desc: Use image node_id 15 for calling the DataLoader obj's underlying member method code with example usage: obj.load_sunspot() and returns: df