code: def test_plot_mixed_column_name_types():
      X, y = make_blobs(n_samples=100, n_features=10)
      data = pd.DataFrame(X)
      y = pd.Series(y)
      y[y == 0] = "a"
      y[y == 1] = "b"
      y[y == 2] = "c"
      data["target"] = y
      plot(data, target_col="target")
  
imports: import pytest
  import numpy
  import pandas
  import matplotlib.pyplot
  import warnings
  import itertools
  from sklearn.datasets import make_regression, make_blobs, load_digits, fetch_openml, load_diabetes
  from sklearn.preprocessing import KBinsDiscretizer
  from dabl.preprocessing import clean, detect_types, guess_ordinal
  from dabl.plot.supervised import plot, plot_classification_categorical, plot_classification_continuous, plot_regression_categorical, plot_regression_continuous
  from dabl.utils import data_df_from_bunch
  from dabl import set_config
label_desc: Use image node_id 17 for calling a global function with example usage: test_plot_mixed_column_name_types() without return types