code: def test_pairplot_iris():
      data = data_df_from_bunch(load_iris())
      axes = pairplot(data, target_col="target")
      # the diagonal axes are duplicated
      # so we can have sharex / sharey
      assert axes.shape == (4, 4)
      assert len(plt.gcf().get_axes()) == 4 * 4 + 4
  
file_path: dabl/dabl/plot/tests/test_utils.py
imports: import pytest
  import numpy
  import matplotlib.pyplot
  from sklearn.datasets import load_iris
  from dabl.utils import data_df_from_bunch
  from dabl.plot.utils import find_pretty_grid, plot_coefficients, pairplot
label_desc: Use image node_id 3 for calling a global function with example usage: test_pairplot_iris() without return types