表格演示

演示表函数以在图表中显示表格。

表格演示示例

  1. import numpy as np
  2. import matplotlib.pyplot as plt
  5. data = [[ 66386, 174296,  75131, 577908,  32015],
  6.         [ 58230, 381139,  78045,  99308, 160454],
  7.         [ 89135,  80552, 152558, 497981, 603535],
  8.         [ 78415,  81858, 150656, 193263,  69638],
  9.         [139361, 331509, 343164, 781380,  52269]]
  11. columns = ('Freeze', 'Wind', 'Flood', 'Quake', 'Hail')
  12. rows = ['%d year' % x for x in (100, 50, 20, 10, 5)]
  14. values = np.arange(0, 2500, 500)
  15. value_increment = 1000
  17. # Get some pastel shades for the colors
  18. colors = plt.cm.BuPu(np.linspace(0, 0.5, len(rows)))
  19. n_rows = len(data)
  21. index = np.arange(len(columns)) + 0.3
  22. bar_width = 0.4
  24. # Initialize the vertical-offset for the stacked bar chart.
  25. y_offset = np.zeros(len(columns))
  27. # Plot bars and create text labels for the table
  28. cell_text = []
  29. for row in range(n_rows):
  30.     plt.bar(index, data[row], bar_width, bottom=y_offset, color=colors[row])
  31.     y_offset = y_offset + data[row]
  32.     cell_text.append(['%1.1f' % (x / 1000.0) for x in y_offset])
  33. # Reverse colors and text labels to display the last value at the top.
  34. colors = colors[::-1]
  35. cell_text.reverse()
  37. # Add a table at the bottom of the axes
  38. the_table = plt.table(cellText=cell_text,
  39.                       rowLabels=rows,
  40.                       rowColours=colors,
  41.                       colLabels=columns,
  42.                       loc='bottom')
  44. # Adjust layout to make room for the table:
  45. plt.subplots_adjust(left=0.2, bottom=0.2)
  47. plt.ylabel("Loss in ${0}'s".format(value_increment))
  48. plt.yticks(values * value_increment, ['%d' % val for val in values])
  49. plt.xticks([])
  50. plt.title('Loss by Disaster')
  52. plt.show()

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