code: def test_categorical(use_batch):
      import pyarrow as pa
  
      arr = [
          "Mon",
          "Tue",
          "Mon",
          "Wed",
          "Mon",
          "Thu",
          "Fri",
          "Sat",
          None,
      ]
      table = pa.table({"weekday": pa.array(arr).dictionary_encode()})
      if use_batch:
          table = table.to_batches()[0]
  
      col = table.__dataframe__().get_column_by_name("weekday")
      categorical = col.describe_categorical
      assert isinstance(categorical["is_ordered"], bool)
      assert isinstance(categorical["is_dictionary"], bool)
  
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 5 for calling a global function with example usage: test_categorical(use_batch) without return types