>>> """
==========
Table Demo
==========

Demo of table function to display a table within a plot.
"""
... import numpy as np
... import matplotlib.pyplot as plt
... 
... 
... data = [[ 66386, 174296,  75131, 577908,  32015],
...         [ 58230, 381139,  78045,  99308, 160454],
...         [ 89135,  80552, 152558, 497981, 603535],
...         [ 78415,  81858, 150656, 193263,  69638],
...         [139361, 331509, 343164, 781380,  52269]]
... 
... columns = ('Freeze', 'Wind', 'Flood', 'Quake', 'Hail')
... rows = ['%d year' % x for x in (100, 50, 20, 10, 5)]
... 
... values = np.arange(0, 2500, 500)
... value_increment = 1000
... 
... # Get some pastel shades for the colors
... colors = plt.cm.BuPu(np.linspace(0, 0.5, len(rows)))
... n_rows = len(data)
... 
... index = np.arange(len(columns)) + 0.3
... bar_width = 0.4
... 
... # Initialize the vertical-offset for the stacked bar chart.
... y_offset = np.zeros(len(columns))
... 
... # Plot bars and create text labels for the table
... cell_text = []
... for row in range(n_rows):
...     plt.bar(index, data[row], bar_width, bottom=y_offset, color=colors[row])
...     y_offset = y_offset + data[row]
...     cell_text.append(['%1.1f' % (x / 1000.0) for x in y_offset])
... # Reverse colors and text labels to display the last value at the top.
... colors = colors[::-1]
... cell_text.reverse()
... 
... # Add a table at the bottom of the axes
... the_table = plt.table(cellText=cell_text,
...                       rowLabels=rows,
...                       rowColours=colors,
...                       colLabels=columns,
...                       loc='bottom')
... 
... # Adjust layout to make room for the table:
... plt.subplots_adjust(left=0.2, bottom=0.2)
... 
... plt.ylabel("Loss in ${0}'s".format(value_increment))
... plt.yticks(values * value_increment, ['%d' % val for val in values])
... plt.xticks([])
... plt.title('Loss by Disaster')
... 
... plt.show()
...