code: def test_non_monotonic_reindex_methods(self):
      dr = date_range("2013-08-01", periods=6, freq="B")
      data = np.random.default_rng(2).standard_normal((6, 1))
      df = DataFrame(data, index=dr, columns=list("A"))
      df_rev = DataFrame(
          data, index=dr[[3, 4, 5] + [0, 1, 2]], columns=list("A")
      )
      # index is not monotonic increasing or decreasing
      msg = "index must be monotonic increasing or decreasing"
      with pytest.raises(ValueError, match=msg):
          df_rev.reindex(df.index, method="pad")
      with pytest.raises(ValueError, match=msg):
          df_rev.reindex(df.index, method="ffill")
      with pytest.raises(ValueError, match=msg):
          df_rev.reindex(df.index, method="bfill")
      with pytest.raises(ValueError, match=msg):
          df_rev.reindex(df.index, method="nearest")
  
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 17 for calling the TestDataFrameSelectReindex obj's underlying member method code with example usage: obj.test_non_monotonic_reindex_methods() without return types