code: def test_categorical_dtype(indices_type, bitwidth, f_string):
      type = pa.dictionary(indices_type, pa.string())
      arr = pa.array(["a", "b", None, "d"], type)
      table = pa.table({"a": arr})
  
      df = table.__dataframe__()
      col = df.get_column(0)
      assert col.dtype[0] == 23  # <DtypeKind.CATEGORICAL: 23>
      assert col.dtype[1] == bitwidth
      assert col.dtype[2] == f_string
  
file_path: arrow/python/pyarrow/tests/interchange/test_interchange_spec.py
imports: import ctypes
  import hypothesis
  import hypothesis.strategies
  import numpy
  import pyarrow
  import pyarrow.tests.strategies
  import pytest
label_desc: Use image node_id 11 for calling a global function with example usage: test_categorical_dtype(indices_type, bitwidth, f_string) without return types