code: def column_to_array(
      col: ColumnObject,
      allow_copy: bool = True,
  ) -> pa.Array:
      """
      Convert a column holding one of the primitive dtypes to a PyArrow array.
      A primitive type is one of: int, uint, float, bool (1 bit).
  
      Parameters
      ----------
      col : ColumnObject
      allow_copy : bool, default: True
          Whether to allow copying the memory to perform the conversion
          (if false then zero-copy approach is requested).
  
      Returns
      -------
      pa.Array
      """
      buffers = col.get_buffers()
      data_type = col.dtype
      data = buffers_to_array(
          buffers,
          data_type,
          col.size(),
          col.describe_null,
          col.offset,
          allow_copy,
      )
      return data
  
file_path: arrow/python/pyarrow/interchange/from_dataframe.py
imports: from __future__ import annotations
  from typing import Any, Tuple
  from pyarrow.interchange.column import DtypeKind, ColumnBuffers, ColumnNullType
  import pyarrow
  import re
  import pyarrow.compute
  from pyarrow.interchange.column import Dtype
label_desc: Use image node_id 4 for calling a global function with example usage: column_to_array(col, allow_copy) and returns: data