code: def test_fit_transform_frame(self):
      df = pd.DataFrame(np.random.randn(1000, 3))
      ddf = dd.from_pandas(df, 2)
  
      a = spp.QuantileTransformer()
      b = dpp.QuantileTransformer()
  
      expected = a.fit_transform(df)
      result = b.fit_transform(ddf)
      assert_eq_ar(result, expected, rtol=1e-3, atol=1e-3)
  
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 3 for calling the TestQuantileTransformer obj's underlying member method code with example usage: obj.test_fit_transform_frame() without return types