matplotlib & pandas

Python/matplotlab/gallery/units/annotate_with_units.md

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+# 带有单位的注释
+
+该示例说明了如何使用厘米级绘图创建文本和箭头注释。
+
+此示例需要 [basic_units.py](https://matplotlib.org/_downloads/3a73b4cd6e12aa53ff277b1b80d631c1/basic_units.py)
+
+![带有单位的注释示例](https://matplotlib.org/_images/sphx_glr_annotate_with_units_001.png)
+
+```python
+import matplotlib.pyplot as plt
+from basic_units import cm
+
+fig, ax = plt.subplots()
+
+ax.annotate("Note 01", [0.5*cm, 0.5*cm])
+
+# xy and text both unitized
+ax.annotate('local max', xy=(3*cm, 1*cm), xycoords='data',
+            xytext=(0.8*cm, 0.95*cm), textcoords='data',
+            arrowprops=dict(facecolor='black', shrink=0.05),
+            horizontalalignment='right', verticalalignment='top')
+
+# mixing units w/ nonunits
+ax.annotate('local max', xy=(3*cm, 1*cm), xycoords='data',
+            xytext=(0.8, 0.95), textcoords='axes fraction',
+            arrowprops=dict(facecolor='black', shrink=0.05),
+            horizontalalignment='right', verticalalignment='top')
+
+
+ax.set_xlim(0*cm, 4*cm)
+ax.set_ylim(0*cm, 4*cm)
+plt.show()
+```
+## 下载这个示例
+            
+- [下载python源码: annotate_with_units.py](https://matplotlib.org/_downloads/annotate_with_units.py)
+- [下载Jupyter notebook: annotate_with_units.ipynb](https://matplotlib.org/_downloads/annotate_with_units.ipynb)