code: def deserialize_pandas(buf, *, use_threads=True):
      """Deserialize a buffer protocol compatible object into a pandas DataFrame.
  
      Parameters
      ----------
      buf : buffer
          An object compatible with the buffer protocol.
      use_threads : bool, default True
          Whether to parallelize the conversion using multiple threads.
  
      Returns
      -------
      df : pandas.DataFrame
          The buffer deserialized as pandas DataFrame
      """
      buffer_reader = pa.BufferReader(buf)
      with pa.RecordBatchStreamReader(buffer_reader) as reader:
          table = reader.read_all()
      return table.to_pandas(use_threads=use_threads)
  
imports: import os
  import pyarrow
  from pyarrow.lib import IpcReadOptions, IpcWriteOptions, ReadStats, WriteStats, Message, MessageReader, RecordBatchReader, _ReadPandasMixin, MetadataVersion, read_message, read_record_batch, read_schema, read_tensor, write_tensor, get_record_batch_size, get_tensor_size
  import pyarrow.lib
label_desc: Use image node_id 8 for calling a global function with example usage: deserialize_pandas(buf) and returns: table