code: def test_reindex_multi(self):
      df = DataFrame(np.random.default_rng(2).standard_normal((3, 3)))
  
      result = df.reindex(index=range(4), columns=range(4))
      expected = df.reindex(list(range(4))).reindex(columns=range(4))
  
      tm.assert_frame_equal(result, expected)
  
      df = DataFrame(np.random.default_rng(2).integers(0, 10, (3, 3)))
  
      result = df.reindex(index=range(4), columns=range(4))
      expected = df.reindex(list(range(4))).reindex(columns=range(4))
  
      tm.assert_frame_equal(result, expected)
  
      df = DataFrame(np.random.default_rng(2).integers(0, 10, (3, 3)))
  
      result = df.reindex(index=range(2), columns=range(2))
      expected = df.reindex(range(2)).reindex(columns=range(2))
  
      tm.assert_frame_equal(result, expected)
  
      df = DataFrame(
          np.random.default_rng(2).standard_normal((5, 3)) + 1j,
          columns=["a", "b", "c"],
      )
  
      result = df.reindex(index=[0, 1], columns=["a", "b"])
      expected = df.reindex([0, 1]).reindex(columns=["a", "b"])
  
      tm.assert_frame_equal(result, expected)
  
imports: from datetime import datetime, timedelta
  import inspect
  import numpy
  import pytest
  from pandas._libs.tslibs.timezones import dateutil_gettz
  from pandas.compat import IS64, is_platform_windows
  from pandas.compat.numpy import np_version_gt2
  import pandas
  from pandas import Categorical, CategoricalIndex, DataFrame, Index, MultiIndex, Series, date_range, isna
  import pandas._testing
  from pandas.api.types import CategoricalDtype
label_desc: Use image node_id 40 for calling the TestDataFrameSelectReindex obj's underlying member method code with example usage: obj.test_reindex_multi() without return types