content: from __future__ import (absolute_import, division, print_function,
                          unicode_literals)
  
  import six
  
  import matplotlib.pyplot as plt
  import numpy as np
  from matplotlib.testing.decorators import image_comparison
  
  
  @image_comparison(baseline_images=['table_zorder'],
                    extensions=['png'],
                    remove_text=True)
  def test_zorder():
      data = [[66386, 174296],
              [58230, 381139]]
  
      colLabels = ('Freeze', 'Wind')
      rowLabels = ['%d year' % x for x in (100, 50)]
  
      cellText = []
      yoff = np.array([0.0] * len(colLabels))
      for row in reversed(data):
          yoff += row
          cellText.append(['%1.1f' % (x/1000.0) for x in yoff])
  
      t = np.linspace(0, 2*np.pi, 100)
      plt.plot(t, np.cos(t), lw=4, zorder=2)
  
      plt.table(cellText=cellText,
                rowLabels=rowLabels,
                colLabels=colLabels,
                loc='center',
                zorder=-2,
                )
  
      plt.table(cellText=cellText,
                rowLabels=rowLabels,
                colLabels=colLabels,
                loc='upper center',
                zorder=4,
                )
      plt.yticks([])
  
  
  @image_comparison(baseline_images=['table_labels'],
                    extensions=['png'])
  def test_label_colours():
      dim = 3
  
      c = np.linspace(0, 1, dim)
      colours = plt.cm.RdYlGn(c)
      cellText = [['1'] * dim] * dim
  
      fig = plt.figure()
  
      ax1 = fig.add_subplot(4, 1, 1)
      ax1.axis('off')
      ax1.table(cellText=cellText,
                rowColours=colours,
                loc='best')
  
      ax2 = fig.add_subplot(4, 1, 2)
      ax2.axis('off')
      ax2.table(cellText=cellText,
                rowColours=colours,
                rowLabels=['Header'] * dim,
                loc='best')
  
      ax3 = fig.add_subplot(4, 1, 3)
      ax3.axis('off')
      ax3.table(cellText=cellText,
                colColours=colours,
                loc='best')
  
      ax4 = fig.add_subplot(4, 1, 4)
      ax4.axis('off')
      ax4.table(cellText=cellText,
                colColours=colours,
                colLabels=['Header'] * dim,
                loc='best')
  