matplotlib & pandas

Python/matplotlab/gallery/misc/table_demo.md

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+# 表格演示
+
+演示表函数以在图表中显示表格。
+
+![表格演示示例](https://matplotlib.org/_images/sphx_glr_table_demo_001.png)
+
+```python
+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()
+```
+
+## 下载这个示例
+            
+- [下载python源码: table_demo.py](https://matplotlib.org/_downloads/table_demo.py)
+- [下载Jupyter notebook: table_demo.ipynb](https://matplotlib.org/_downloads/table_demo.ipynb)