content: import numpy as np
  from numpy.testing import dec
  
  from statsmodels.graphics.correlation import plot_corr, plot_corr_grid
  from statsmodels.datasets import randhie
  
  
  try:
      import matplotlib.pyplot as plt
      have_matplotlib = True
  except:
      have_matplotlib = False
  
  
  @dec.skipif(not have_matplotlib)
  def test_plot_corr():
      hie_data = randhie.load_pandas()
      corr_matrix = np.corrcoef(hie_data.data.values.T)
  
      fig = plot_corr(corr_matrix, xnames=hie_data.names)
      plt.close(fig)
  
      fig = plot_corr(corr_matrix, xnames=[], ynames=hie_data.names)
      plt.close(fig)
  
      fig = plot_corr(corr_matrix, normcolor=True, title='', cmap='jet')
      plt.close(fig)
  
  
  @dec.skipif(not have_matplotlib)
  def test_plot_corr_grid():
      hie_data = randhie.load_pandas()
      corr_matrix = np.corrcoef(hie_data.data.values.T)
  
      fig = plot_corr_grid([corr_matrix] * 2, xnames=hie_data.names)
      plt.close(fig)
  
      fig = plot_corr_grid([corr_matrix] * 5, xnames=[], ynames=hie_data.names)
      plt.close(fig)
  
      fig = plot_corr_grid([corr_matrix] * 3, normcolor=True, titles='', cmap='jet')
      plt.close(fig)
  
  