matplotlib & pandas

Python/matplotlab/gallery/misc/tight_bbox_test.md

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+# 严密的Bbox测试
+
+![严密的Bbox测试示例](https://matplotlib.org/_images/sphx_glr_tight_bbox_test_001.png)
+
+输出：
+
+```python
+saving tight_bbox_test.png
+saving tight_bbox_test.pdf
+saving tight_bbox_test.svg
+saving tight_bbox_test.svgz
+saving tight_bbox_test.eps
+```
+
+```python
+import matplotlib.pyplot as plt
+import numpy as np
+
+ax = plt.axes([0.1, 0.3, 0.5, 0.5])
+
+ax.pcolormesh(np.array([[1, 2], [3, 4]]))
+plt.yticks([0.5, 1.5], ["long long tick label",
+                        "tick label"])
+plt.ylabel("My y-label")
+plt.title("Check saved figures for their bboxes")
+for ext in ["png", "pdf", "svg", "svgz", "eps"]:
+    print("saving tight_bbox_test.%s" % (ext,))
+    plt.savefig("tight_bbox_test.%s" % (ext,), bbox_inches="tight")
+plt.show()
+```
+
+## 下载这个示例
+            
+- [下载python源码: tight_bbox_test.py](https://matplotlib.org/_downloads/tight_bbox_test.py)
+- [下载Jupyter notebook: tight_bbox_test.ipynb](https://matplotlib.org/_downloads/tight_bbox_test.ipynb)