code: def _pandas_to_arrow_table(
      cls, df: pd.DataFrame, preserve_index=False, schema=None
  ) -> pa.Table:
      try:
          return pa.Table.from_pandas(
              df,
              nthreads=1,
              preserve_index=preserve_index,
              schema=schema,
          )
      except pa.ArrowException as exc:
          if schema is None:
              raise
          df_schema = pa.Schema.from_pandas(df)
          expected = textwrap.indent(
              schema.to_string(show_schema_metadata=False), "    "
          )
          actual = textwrap.indent(
              df_schema.to_string(show_schema_metadata=False), "    "
          )
          raise ValueError(
              f"Failed to convert partition to expected pyarrow schema:\n"
              f"    `{exc!r}`\n"
              f"\n"
              f"Expected partition schema:\n"
              f"{expected}\n"
              f"\n"
              f"Received partition schema:\n"
              f"{actual}\n"
              f"\n"
              f"This error *may* be resolved by passing in schema information for\n"
              f"the mismatched column(s) using the `schema` keyword in `to_parquet`."
          ) from None
  
imports: from __future__ import annotations
  import json
  import operator
  import textwrap
  import warnings
  from collections import defaultdict
  from datetime import datetime
  from functools import reduce
  import numpy
  import pandas
  import pyarrow
  import pyarrow.parquet
  from fsspec.core import expand_paths_if_needed, stringify_path
  from fsspec.implementations.arrow import ArrowFSWrapper
  from pyarrow import dataset
  from pyarrow import fs
  import dask
  from dask.base import tokenize
  from dask.core import flatten
  from dask.dataframe.backends import pyarrow_schema_dispatch
  from dask.dataframe.io.parquet.utils import Engine, _get_aggregation_depth, _infer_split_row_groups, _normalize_index_columns, _process_open_file_options, _row_groups_to_parts, _set_gather_statistics, _set_metadata_task_size, _sort_and_analyze_paths
  from dask.dataframe.io.utils import _get_pyarrow_dtypes, _is_local_fs, _open_input_files
  from dask.dataframe.utils import clear_known_categories, pyarrow_strings_enabled
  from dask.delayed import Delayed
  from dask.utils import getargspec, natural_sort_key
label_desc: Use image node_id 6 for calling the ArrowDatasetEngine obj's underlying member method code with example usage: obj._pandas_to_arrow_table(cls, df, preserve_index, schema) and returns: pa