code: def test_2d_covariance():
      Rank2D(
          algorithm="covariance", features=features, figsize=(12, 12)
      ).feature_ranks(X)
  
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 17 for calling a global function with example usage: test_2d_covariance() without return types