code: def load_tabular_file(fname, return_meta=False, header=True, index_col=True):
      
      if index_col:
          index_col = 0
      else:
          index_col = None
      if header:
          header = 0
      else:
          header = None
  
      df = pd.read_csv(fname, header=header, index_col=index_col, sep='\t')
  
      if return_meta:
          json_fname = fname.replace('tsv', 'json')
          meta = pd.read_json(json_fname)
          return df, meta
      else:
          return df
docs: Given a file name loads as a pandas data frame
  
      Parameters
      ----------
      fname : str
          file name and path. Must be tsv.
      return_meta :
  
      header : bool (default True)
          if there is a header in the tsv file, true will use first row in file.
      index_col : bool (default None)
          if there is an index column in the csv or tsv file, true will use first row in file.
  
      Returns
      -------
      df : pandas
          The loaded file
      info : pandas, if return_meta=True
          Meta infomration in json file (if specified)