code: def _coerce_to_ndarray(cls, data):
          
  
          if not isinstance(data, (np.ndarray, Index)):
              if data is None or is_scalar(data):
                  cls._scalar_data_error(data)
  
              # other iterable of some kind
              if not isinstance(data, (ABCSeries, list, tuple)):
                  data = list(data)
              data = np.asarray(data)
          return data
docs: Coerces data to ndarray.
  
          Converts other iterables to list first and then to array.
          Does not touch ndarrays.
  
          Raises
          ------
          TypeError
              When the data passed in is a scalar.