class_docstr: Row of a tabular Dataset backed by a Pandas DataFrame block.
code: def __getitem__(self, key: Union[str, List[str]]) -> Any:
      from ray.data.extensions import TensorArrayElement
  
      def get_item(keys: List[str]) -> Any:
          col = self._row[keys]
          if len(col) == 0:
              return None
  
          items = col.iloc[0]
          if isinstance(items[0], TensorArrayElement):
              # Getting an item in a Pandas tensor column may return
              # a TensorArrayElement, which we have to convert to an ndarray.
              return tuple([item.to_numpy() for item in items])
  
          try:
              # Try to interpret this as a numpy-type value.
              # See https://stackoverflow.com/questions/9452775/converting-numpy-dtypes-to-native-python-types.  # noqa: E501
              return tuple([item.as_py() for item in items])
  
          except (AttributeError, ValueError):
              # Fallback to the original form.
              return items
  
      is_single_item = isinstance(key, str)
      keys = [key] if is_single_item else key
  
      items = get_item(keys)
  
      if items is None:
          return None
      elif is_single_item:
          return items[0]
      else:
          return items
  
imports: import collections
  import heapq
  from typing import TYPE_CHECKING, Any, Callable, Dict, Iterator, List, Optional, Tuple, TypeVar, Union
  import numpy
  from ray.air.constants import TENSOR_COLUMN_NAME
  from ray.data._internal.table_block import TableBlockAccessor, TableBlockBuilder
  from ray.data._internal.util import find_partitions
  from ray.data.block import Block, BlockAccessor, BlockExecStats, BlockMetadata, KeyType, U
  from ray.data.context import DataContext
  from ray.data.row import TableRow
label_desc: Use image node_id 1 for calling the PandasRow obj's underlying member method code with example usage: obj.__getitem__(key) and returns: None, None, tuple, tuple, items, items, items