docstr: return data that meets the minimum requirements of tsdata.
docstr_tok: ["return","data","that","meets","the","minimum","requirements","of","tsdata","."]
code: def preprocess_fsi(self):
      """
      return data that meets the minimum requirements of tsdata.
      """
      _is_first_columns = True
      if not os.path.exists(self.final_file_path):
          import zipfile
  
          zip_file = zipfile.ZipFile(
              os.path.join(
                  os.path.expanduser(self.dir_path),
                  DATASET_NAME[self.name][0],
              )
          )
          zip_file.extractall(
              os.path.join(os.path.expanduser(self.dir_path))
          )
          download_file = os.path.join(
              self.dir_path, DATASET_NAME[self.name][0].split(".")[0]
          )
          local_file_list = os.listdir(download_file)
  
          for val in local_file_list:
              fsi_raw_df = pd.read_csv(
                  os.path.join(download_file, val),
                  names=[
                      "date",
                      "open",
                      "high",
                      "low",
                      "close",
                      "volume",
                      "Name",
                  ],
              )
              fsi_raw_df = fsi_raw_df.loc[fsi_raw_df.Name.eq("MMM")]
              fsi_raw_df.to_csv(
                  self.final_file_path,
                  header=[
                      "ds",
                      "open",
                      "high",
                      "low",
                      "close",
                      "y",
                      "Name",
                  ]
                  if _is_first_columns
                  else None,
                  index=False,
                  mode="a",
              )
              _is_first_columns = False
  
      self.df = pd.read_csv(
          self.final_file_path, usecols=[0, 5], parse_dates=[0]
      )
      self.df.ds = pd.to_datetime(self.df.ds)
  
      return self
  
file_path: analytics-zoo/pyzoo/zoo/chronos/data/utils/public_dataset.py
imports: import os
  import requests
  import tqdm
  import pandas
  from zoo.chronos.data.tsdataset import TSDataset
label_desc: Use image node_id 5 for calling the PublicDataset obj's underlying member method code with example usage: obj.preprocess_fsi() and returns: self