matplotlib & pandas

Python/matplotlab/gallery/units/bar_unit_demo.md

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+# 与单位组合的条形图
+
+此示例与以厘米为单位的[条形图演示](https://matplotlib.org/gallery/lines_bars_and_markers/barchart.html)相同。
+
+此示例需要 [basic_units.py](https://matplotlib.org/_downloads/3a73b4cd6e12aa53ff277b1b80d631c1/basic_units.py)
+
+![与单位组合的条形图示例](https://matplotlib.org/_images/sphx_glr_bar_unit_demo_001.png)
+
+```python
+import numpy as np
+from basic_units import cm, inch
+import matplotlib.pyplot as plt
+
+
+N = 5
+menMeans = (150*cm, 160*cm, 146*cm, 172*cm, 155*cm)
+menStd = (20*cm, 30*cm, 32*cm, 10*cm, 20*cm)
+
+fig, ax = plt.subplots()
+
+ind = np.arange(N)    # the x locations for the groups
+width = 0.35         # the width of the bars
+p1 = ax.bar(ind, menMeans, width, color='r', bottom=0*cm, yerr=menStd)
+
+
+womenMeans = (145*cm, 149*cm, 172*cm, 165*cm, 200*cm)
+womenStd = (30*cm, 25*cm, 20*cm, 31*cm, 22*cm)
+p2 = ax.bar(ind + width, womenMeans, width,
+            color='y', bottom=0*cm, yerr=womenStd)
+
+ax.set_title('Scores by group and gender')
+ax.set_xticks(ind + width / 2)
+ax.set_xticklabels(('G1', 'G2', 'G3', 'G4', 'G5'))
+
+ax.legend((p1[0], p2[0]), ('Men', 'Women'))
+ax.yaxis.set_units(inch)
+ax.autoscale_view()
+
+plt.show()
+```
+
+## 下载这个示例
+            
+- [下载python源码: bar_unit_demo.py](https://matplotlib.org/_downloads/bar_unit_demo.py)
+- [下载Jupyter notebook: bar_unit_demo.ipynb](https://matplotlib.org/_downloads/bar_unit_demo.ipynb)