code: def _table_to_pandas(cls, t, nrows=None, use_arrow_dtype=None):
      if nrows is not None:
          t = t.slice(0, nrows)
      if use_arrow_dtype:
          df = t.to_pandas(
              types_mapper={pa.string(): ArrowStringDtype()}.get
          )
      else:
          df = t.to_pandas()
      return df
  
imports: import os
  from typing import Dict
  from urllib.parse import urlparse
  import numpy
  import pandas
  from ...None import opcodes
  from ...config import options
  from ...lib.filesystem import file_size, get_fs, glob, open_file, FileSystem
  from ...serialization.serializables import AnyField, BoolField, DictField, ListField, StringField, Int32Field, Int64Field
  from ...utils import is_object_dtype, lazy_import
  from ..arrays import ArrowStringDtype
  from ..operands import OutputType
  from ..utils import parse_index, to_arrow_dtypes, contain_arrow_dtype
  from .core import IncrementalIndexDatasource, ColumnPruneSupportedDataSourceMixin, IncrementalIndexDataSourceMixin, merge_small_files
label_desc: Use image node_id 3 for calling the ArrowEngine obj's underlying member method code with example usage: obj._table_to_pandas(cls, t, nrows, use_arrow_dtype) and returns: df