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65 lines
2.0 KiB
Markdown
65 lines
2.0 KiB
Markdown
# 表格演示
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演示表函数以在图表中显示表格。
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```python
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import numpy as np
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import matplotlib.pyplot as plt
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data = [[ 66386, 174296, 75131, 577908, 32015],
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[ 58230, 381139, 78045, 99308, 160454],
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[ 89135, 80552, 152558, 497981, 603535],
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[ 78415, 81858, 150656, 193263, 69638],
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[139361, 331509, 343164, 781380, 52269]]
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columns = ('Freeze', 'Wind', 'Flood', 'Quake', 'Hail')
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rows = ['%d year' % x for x in (100, 50, 20, 10, 5)]
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values = np.arange(0, 2500, 500)
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value_increment = 1000
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# Get some pastel shades for the colors
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colors = plt.cm.BuPu(np.linspace(0, 0.5, len(rows)))
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n_rows = len(data)
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index = np.arange(len(columns)) + 0.3
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bar_width = 0.4
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# Initialize the vertical-offset for the stacked bar chart.
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y_offset = np.zeros(len(columns))
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# Plot bars and create text labels for the table
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cell_text = []
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for row in range(n_rows):
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plt.bar(index, data[row], bar_width, bottom=y_offset, color=colors[row])
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y_offset = y_offset + data[row]
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cell_text.append(['%1.1f' % (x / 1000.0) for x in y_offset])
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# Reverse colors and text labels to display the last value at the top.
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colors = colors[::-1]
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cell_text.reverse()
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# Add a table at the bottom of the axes
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the_table = plt.table(cellText=cell_text,
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rowLabels=rows,
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rowColours=colors,
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colLabels=columns,
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loc='bottom')
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# Adjust layout to make room for the table:
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plt.subplots_adjust(left=0.2, bottom=0.2)
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plt.ylabel("Loss in ${0}'s".format(value_increment))
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plt.yticks(values * value_increment, ['%d' % val for val in values])
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plt.xticks([])
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plt.title('Loss by Disaster')
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plt.show()
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```
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## 下载这个示例
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- [下载python源码: table_demo.py](https://matplotlib.org/_downloads/table_demo.py)
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- [下载Jupyter notebook: table_demo.ipynb](https://matplotlib.org/_downloads/table_demo.ipynb) |