code: def test_2d_incorrect_features(ploomber_value_error_message):
      with pytest.raises(
          ValueError, match=ploomber_value_error_message
      ) as e:
          Rank2D(
              features=["Sepal length", "Sepal width"],
              algorithm="pearson",
          ).feature_ranks(X)
          assert (
              "number of supplied feature names does not match the number "
              "of columns in the training data." in str(e.value)
          )
  
imports: import matplotlib.pyplot
  import pytest
  import pandas
  import numpy
  from sklearn.datasets import load_iris
  from matplotlib.testing.decorators import image_comparison
  from sklearn_evaluation.plot import Rank1D, Rank2D
label_desc: Use image node_id 20 for calling a global function with example usage: test_2d_incorrect_features(ploomber_value_error_message) without return types