code: def test_pivot_categorical_3968() -> None:
      df = pl.DataFrame(
          {
              "foo": ["one", "one", "one", "two", "two", "two"],
              "bar": ["A", "B", "C", "A", "B", "C"],
              "baz": [1, 2, 3, 4, 5, 6],
          }
      )
  
      result = df.with_columns(
          pl.col("baz").cast(str).cast(pl.Categorical)
      )
  
      expected = pl.DataFrame(
          {
              "foo": ["one", "one", "one", "two", "two", "two"],
              "bar": ["A", "B", "C", "A", "B", "C"],
              "baz": ["1", "2", "3", "4", "5", "6"],
          },
          schema_overrides={"baz": pl.Categorical},
      )
      assert_frame_equal(result, expected, categorical_as_str=True)
  
imports: from __future__ import annotations
  from datetime import date, datetime, timedelta
  from typing import TYPE_CHECKING, Any
  import pytest
  import polars
  import polars.selectors
  from polars.exceptions import ComputeError
  from polars.testing import assert_frame_equal
label_desc: Use image node_id 4 for calling a global function with example usage: test_pivot_categorical_3968() without return types