docstr: Gets the original data for any given column of the `EncodedDs`.
  
  :param column_name: name of the column.
  :return:  A `pd.Series` with the original data stored in the `column_name` column.
docstr_tok: ["Gets","the","original","data","for","any","given","column","of","the","`","EncodedDs","`",".",":","param","column_name",":","name","of","the","column",".",":","return",":","A","`","pd.Series","`","with","the","original","data","stored","in","the","`","column_name","`","column","."]
code: def get_column_original_data(self, column_name: str) -> pd.Series:
      """
      Gets the original data for any given column of the `EncodedDs`.
  
      :param column_name: name of the column.
      :return:  A `pd.Series` with the original data stored in the `column_name` column.
      """
      return self.data_frame[column_name]
  
imports: import inspect
  from typing import List, Tuple, Dict
  import torch
  import numpy
  import pandas
  from torch.utils.data import Dataset
  from lightwood.encoder.base import BaseEncoder
label_desc: Use image node_id 5 for calling the EncodedDs obj's underlying member method code with example usage: obj.get_column_original_data(column_name) and returns: self