code: def xy_classification_pandas(xy_classification):
      """Dask DataFrame (Series) X, y pair for classification"""
      X, y = xy_classification
      X = dd.from_dask_array(
          X, columns=list(string.ascii_letters[: X.shape[1]])
      )
      y = dd.from_dask_array(y, "target")
      return X, y
  
imports: import contextlib
  import string
  import dask.dataframe
  import numpy
  import pytest
  from distributed.utils_test import cluster
  from dask_ml.datasets import make_blobs, make_classification, make_counts, make_regression
label_desc: Use image node_id 2 for calling a global function with example usage: xy_classification_pandas(xy_classification) and returns: X,  y