code: def dates_df():
      return pd.DataFrame(
          {
              "backwards_order": [8, 7, 6, 5, 4, 3, 2, 1, 0],
              "dates_backwards": [
                  "2020-09-09",
                  "2020-09-08",
                  "2020-09-07",
                  "2020-09-06",
                  "2020-09-05",
                  "2020-09-04",
                  "2020-09-03",
                  "2020-09-02",
                  "2020-09-01",
              ],
              "random_order": [7, 6, 8, 0, 2, 4, 3, 1, 5],
              "repeating_dates": [
                  "2020-08-01",
                  "2019-08-01",
                  "2020-08-01",
                  "2012-08-01",
                  "2019-08-01",
                  "2019-08-01",
                  "2019-08-01",
                  "2013-08-01",
                  "2019-08-01",
              ],
              "special": [7, 8, 0, 1, 4, 2, 6, 3, 5],
              "special_dates": [
                  "2020-08-01",
                  "2019-08-01",
                  "2020-08-01",
                  "2012-08-01",
                  "2019-08-01",
                  "2019-08-01",
                  "2019-08-01",
                  "2013-08-01",
                  "2019-08-01",
              ],
          },
      )
  
imports: from datetime import datetime
  import numpy
  import pandas
  import pytest
  from woodwork.exceptions import TypeConversionError
  from woodwork.logical_types import Boolean, Categorical, Datetime, Double, Integer, NaturalLanguage
  from featuretools.entityset.entityset import LTI_COLUMN_NAME, EntitySet
  from featuretools.tests.testing_utils import to_pandas
  from featuretools.utils.gen_utils import Library, import_or_none, is_instance
label_desc: Use image node_id 14 for calling a global function with example usage: dates_df() and returns: pd