code: def get_values(js_dict, value='value'):
      
  
      values = js_dict[value]
      if type(values) is list:
          if type(values[0]) is not dict or tuple:
              return values
      # being not a list of dicts or tuples leaves us with a dict...
      values = {int(key): value for (key, value) in values.items()}
  
      if js_dict.get('size'):
          max_val = np.prod(np.array((js_dict['size'])))
      else:
          max_val = np.prod(np.array((js_dict['dimension']['size'])))
      vals = max_val * [None]
      for (key, value) in values.items():
          vals[key] = value
  
      values = vals
      return values
docs: Get values from input data.
  
      Args:
        js_dict (dict): dictionary containing dataset data and metadata.
        value (string, optional): name of the value column. Defaults to 'value'.
  
      Returns:
        values (list): list of dataset values.