code: def _ndarray_to_column(
      arr: np.ndarray,
  ) -> Union["pd.Series", List[np.ndarray]]:
      """Convert a NumPy ndarray into an appropriate column format for insertion into a
      pandas DataFrame.
  
      If conversion to a pandas Series fails (e.g. if the ndarray is multi-dimensional),
      fall back to a list of NumPy ndarrays.
      """
      pd = _lazy_import_pandas()
      try:
          # Try to convert to Series, falling back to a list conversion if this fails
          # (e.g. if the ndarray is multi-dimensional).
          return pd.Series(arr)
      except ValueError:
          return list(arr)
  
imports: from enum import Enum
  from typing import Dict, Union, List, TYPE_CHECKING
  import warnings
  import numpy
  from ray.air.data_batch_type import DataBatchType
  from ray.air.constants import TENSOR_COLUMN_NAME
  from ray.util.annotations import Deprecated, DeveloperAPI
label_desc: Use image node_id 7 for calling a global function with example usage: _ndarray_to_column(arr) and returns: pd, list