code: def test_to_data_frame(fname):
      """Test EDF/BDF Raw Pandas exporter."""
      pytest.importorskip("pandas")
      ext = fname.suffix
      if ext == ".edf":
          raw = read_raw_edf(fname, preload=True, verbose="error")
      elif ext == ".bdf":
          raw = read_raw_bdf(fname, preload=True, verbose="error")
      _, times = raw[0, :10]
      df = raw.to_data_frame(index="time")
      assert (df.columns == raw.ch_names).all()
      assert_array_equal(times, df.index.values[:10])
      df = raw.to_data_frame(index=None, scalings={"eeg": 1e13})
      assert "time" in df.columns
      assert_array_equal(df.values[:, 1], raw._data[0] * 1e13)
  
imports: import datetime
  from contextlib import nullcontext
  from functools import partial
  from pathlib import Path
  import numpy
  import pytest
  from numpy.testing import assert_allclose, assert_array_almost_equal, assert_array_equal, assert_equal
  from scipy.io import loadmat
  from mne import Annotations, pick_types
  from mne._fiff.pick import channel_indices_by_type, get_channel_type_constants
  from mne.annotations import _ndarray_ch_names, events_from_annotations, read_annotations
  from mne.datasets import testing
  from mne.io import edf, read_raw_bdf, read_raw_edf, read_raw_fif, read_raw_gdf
  from mne.io.edf.edf import _edf_str, _parse_prefilter_string, _read_annotations_edf, _read_ch, _read_edf_header, _read_header
  from mne.io.tests.test_raw import _test_raw_reader
  from mne.tests.test_annotations import _assert_annotations_equal
label_desc: Use image node_id 14 for calling a global function with example usage: test_to_data_frame(fname) without return types