code: def test_to_csv_idx_types(self, nrows, r_idx_type, c_idx_type, ncols):
      axes = {
          "i": lambda n: Index(np.arange(n), dtype=np.int64),
          "s": lambda n: Index(
              [f"{i}_{chr(i)}" for i in range(97, 97 + n)]
          ),
          "dt": lambda n: date_range("2020-01-01", periods=n),
          "p": lambda n: period_range(
              "2020-01-01", periods=n, freq="D"
          ),
      }
      df = DataFrame(
          np.ones((nrows, ncols)),
          index=axes[r_idx_type](nrows),
          columns=axes[c_idx_type](ncols),
      )
      result, expected = self._return_result_expected(
          df,
          1000,
          r_idx_type,
          c_idx_type,
      )
      tm.assert_frame_equal(result, expected, check_names=False)
  
imports: import csv
  from io import StringIO
  import os
  import numpy
  import pytest
  from pandas.errors import ParserError
  import pandas
  from pandas import DataFrame, Index, MultiIndex, NaT, Series, Timestamp, date_range, period_range, read_csv, to_datetime
  import pandas._testing
  import pandas.core.common
  from pandas.io.common import get_handle
label_desc: Use image node_id 12 for calling the TestDataFrameToCSV obj's underlying member method code with example usage: obj.test_to_csv_idx_types(nrows, r_idx_type, c_idx_type, ncols) without return types