matplotlib & pandas

Python/matplotlab/gallery/userdemo/custom_boxstyle01.md

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+# 自定义Boxstyle01
+
+![自定义Boxstyle01示例](https://matplotlib.org/_images/sphx_glr_custom_boxstyle01_001.png)
+
+```python
+from matplotlib.path import Path
+
+
+def custom_box_style(x0, y0, width, height, mutation_size, mutation_aspect=1):
+    """
+    Given the location and size of the box, return the path of
+    the box around it.
+
+     - *x0*, *y0*, *width*, *height* : location and size of the box
+     - *mutation_size* : a reference scale for the mutation.
+     - *aspect_ratio* : aspect-ration for the mutation.
+    """
+
+    # note that we are ignoring mutation_aspect. This is okay in general.
+
+    # padding
+    mypad = 0.3
+    pad = mutation_size * mypad
+
+    # width and height with padding added.
+    width = width + 2 * pad
+    height = height + 2 * pad
+
+    # boundary of the padded box
+    x0, y0 = x0 - pad, y0 - pad
+    x1, y1 = x0 + width, y0 + height
+
+    cp = [(x0, y0),
+          (x1, y0), (x1, y1), (x0, y1),
+          (x0-pad, (y0+y1)/2.), (x0, y0),
+          (x0, y0)]
+
+    com = [Path.MOVETO,
+           Path.LINETO, Path.LINETO, Path.LINETO,
+           Path.LINETO, Path.LINETO,
+           Path.CLOSEPOLY]
+
+    path = Path(cp, com)
+
+    return path
+
+
+import matplotlib.pyplot as plt
+
+fig, ax = plt.subplots(figsize=(3, 3))
+ax.text(0.5, 0.5, "Test", size=30, va="center", ha="center",
+        bbox=dict(boxstyle=custom_box_style, alpha=0.2))
+
+plt.show()
+```
+
+## 下载这个示例
+            
+- [下载python源码: custom_boxstyle01.py](https://matplotlib.org/_downloads/custom_boxstyle01.py)
+- [下载Jupyter notebook: custom_boxstyle01.ipynb](https://matplotlib.org/_downloads/custom_boxstyle01.ipynb)