code: def _predict_pandas(
      self,
      data: pd.DataFrame,
      dtype: Optional[Union[TensorDtype, Dict[str, TensorDtype]]],
  ) -> pd.DataFrame:
      numpy_input = _convert_pandas_to_batch_type(
          data,
          BatchFormat.NUMPY,
          self._cast_tensor_columns,
      )
      numpy_output = self._predict_numpy(numpy_input, dtype)
      return _convert_batch_type_to_pandas(numpy_output)
  
file_path: ray/python/ray/train/_internal/dl_predictor.py
imports: import abc
  from typing import Dict, Optional, TypeVar, Union
  import numpy
  import pandas
  from ray.air.util.data_batch_conversion import BatchFormat, _convert_batch_type_to_pandas, _convert_pandas_to_batch_type
  from ray.train.predictor import Predictor
  from ray.util.annotations import DeveloperAPI
label_desc: Use image node_id 5 for calling the DLPredictor obj's underlying member method code with example usage: obj._predict_pandas(data, dtype) and returns: _convert_batch_type_to_pandas