code: def test_column_names_as_bytes() -> None:
      """
      Test that we can handle column names as bytes.
      """
      from superset.db_engine_specs.redshift import RedshiftEngineSpec
      from superset.result_set import SupersetResultSet
  
      data = (
          [
              "2016-01-26",
              392.002014,
              397.765991,
              390.575012,
              392.153015,
              392.153015,
              58147000,
          ],
          [
              "2016-01-27",
              392.444,
              396.842987,
              391.782013,
              394.971985,
              394.971985,
              47424400,
          ],
      )
      description = [
          (b"date", 1043, None, None, None, None, None),
          (b"open", 701, None, None, None, None, None),
          (b"high", 701, None, None, None, None, None),
          (b"low", 701, None, None, None, None, None),
          (b"close", 701, None, None, None, None, None),
          (b"adj close", 701, None, None, None, None, None),
          (b"volume", 20, None, None, None, None, None),
      ]
      result_set = SupersetResultSet(data, description, RedshiftEngineSpec)  # type: ignore
  
      assert (
          result_set.to_pandas_df().to_markdown()
          == """
  |    | date       |    open |    high |     low |   close |   adj close |   volume |
  |---:|:-----------|--------:|--------:|--------:|--------:|------------:|---------:|
  |  0 | 2016-01-26 | 392.002 | 397.766 | 390.575 | 392.153 |     392.153 | 58147000 |
  |  1 | 2016-01-27 | 392.444 | 396.843 | 391.782 | 394.972 |     394.972 | 47424400 |
      """.strip()
      )
  
file_path: superset/tests/unit_tests/result_set_test.py
imports: from datetime import datetime, timezone
  import numpy
  import pandas
  from numpy.core.multiarray import array
  from pytest_mock import MockerFixture
  from superset.db_engine_specs.base import BaseEngineSpec
  from superset.result_set import stringify_values, SupersetResultSet
label_desc: Use image node_id 1 for calling a global function with example usage: test_column_names_as_bytes() without return types