code: def get_dim_label(js_dict, dim, input="dataset"):
      
  
      if input == 'dataset':
          input = js_dict['dimension'][dim]
          label_col = 'label'
      elif input == 'dimension':
          label_col = js_dict['label']
          input = js_dict
      else:
          raise ValueError
  
      try:
          dim_label = input['category']['label']
  
      except KeyError:
          dim_index = get_dim_index(js_dict, dim)
          dim_label = pd.concat([dim_index['id'],
                                 dim_index['id']],
                                axis=1)
          dim_label.columns = ['id', 'label']
      else:
          dim_label = pd.DataFrame(list(zip(dim_label.keys(),
                                            dim_label.values())),
                                   index=dim_label.keys(),
                                   columns=['id', label_col])
      # index must be added to dim label so that it can be sorted
      try:
          dim_index = input['category']['index']
      except KeyError:
          dim_index = pd.DataFrame(list(zip([dim_label['id'][0]], [0])),
                                   index=[0],
                                   columns=['id', 'index'])
      else:
          if type(dim_index) is list:
              dim_index = pd.DataFrame(list(zip(dim_index,
                                                range(0, len(dim_index)))),
                                       index=dim_index, columns=['id', 'index'])
          else:
              dim_index = pd.DataFrame(list(zip(dim_index.keys(),
                                                dim_index.values())),
                                       index=dim_index.keys(),
                                       columns=['id', 'index'])
      dim_label = pd.merge(dim_label, dim_index, on='id').sort_index(by='index')
      return dim_label
docs: Get label from a given dimension.
  
      Args:
        js_dict (dict): dictionary containing dataset data and metadata.
        dim (string): dimension name obtained from JSON file.
  
      Returns:
        dim_label(pandas.DataFrame): DataFrame with label-based dimension data.