code: def test_reindex_datetimelike_to_object(self, dtype):
      # GH#39755 dont cast dt64/td64 to ints
      mi = MultiIndex.from_product([list("ABCDE"), range(2)])
  
      dti = date_range("2016-01-01", periods=10)
      fv = np.timedelta64("NaT", "ns")
      if dtype == "m8[ns]":
          dti = dti - dti[0]
          fv = np.datetime64("NaT", "ns")
  
      ser = Series(dti, index=mi)
      ser[::3] = pd.NaT
  
      df = ser.unstack()
  
      index = df.index.append(Index([1]))
      columns = df.columns.append(Index(["foo"]))
  
      res = df.reindex(index=index, columns=columns, fill_value=fv)
  
      expected = DataFrame(
          {
              0: df[0].tolist() + [fv],
              1: df[1].tolist() + [fv],
              "foo": np.array(["NaT"] * 6, dtype=fv.dtype),
          },
          index=index,
      )
      assert (res.dtypes[[0, 1]] == object).all()
      assert res.iloc[0, 0] is pd.NaT
      assert res.iloc[-1, 0] is fv
      assert res.iloc[-1, 1] is fv
      tm.assert_frame_equal(res, 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 47 for calling the TestDataFrameSelectReindex obj's underlying member method code with example usage: obj.test_reindex_datetimelike_to_object(dtype) without return types