code: def test_df_transform_index(self, daskify):
      frame = copy(df)
      if not daskify:
          frame = frame.compute()
      frame = frame.sample(frac=1.0)
      res_df = dpp.PolynomialFeatures(
          preserve_dataframe=True, degree=1
      ).fit_transform(frame)
      assert_eq_df(res_df.iloc[:, 1:], frame, check_dtype=False)
  
imports: from copy import copy
  import dask
  import dask.array
  import dask.dataframe
  import numpy
  import pandas
  import pandas.testing
  import pytest
  import sklearn.preprocessing
  from dask import compute
  from dask.array.utils import assert_eq
  from dask.dataframe.utils import assert_eq
  from pandas.api.types import is_categorical_dtype, is_object_dtype
  from sklearn.exceptions import NotFittedError
  import dask_ml.preprocessing
  from dask_ml.datasets import make_classification
  from dask_ml.utils import assert_estimator_equal
label_desc: Use image node_id 8 for calling the TestPolynomialFeatures obj's underlying member method code with example usage: obj.test_df_transform_index(daskify) without return types