matplotlib & pandas

Python/matplotlab/gallery/pyplots/boxplot_demo_pyplot.md

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+# Boxplot 演示
+
+boxplot 的代码示例。
+
+```python
+import numpy as np
+import matplotlib.pyplot as plt
+
+# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+# fake up some data
+spread = np.random.rand(50) * 100
+center = np.ones(25) * 50
+flier_high = np.random.rand(10) * 100 + 100
+flier_low = np.random.rand(10) * -100
+data = np.concatenate((spread, center, flier_high, flier_low))
+```
+
+```python
+fig1, ax1 = plt.subplots()
+ax1.set_title('Basic Plot')
+ax1.boxplot(data)
+```
+
+![Boxplot示例](https://matplotlib.org/_images/sphx_glr_boxplot_demo_pyplot_001.png)
+
+```python
+fig2, ax2 = plt.subplots()
+ax2.set_title('Notched boxes')
+ax2.boxplot(data, notch=True)
+```
+
+![Boxplot示例2](https://matplotlib.org/_images/sphx_glr_boxplot_demo_pyplot_002.png)
+
+```python
+green_diamond = dict(markerfacecolor='g', marker='D')
+fig3, ax3 = plt.subplots()
+ax3.set_title('Changed Outlier Symbols')
+ax3.boxplot(data, flierprops=green_diamond)
+```
+
+![Boxplot示例3](https://matplotlib.org/_images/sphx_glr_boxplot_demo_pyplot_003.png)
+
+```python
+fig4, ax4 = plt.subplots()
+ax4.set_title('Hide Outlier Points')
+ax4.boxplot(data, showfliers=False)
+```
+
+![Boxplot示例4](https://matplotlib.org/_images/sphx_glr_boxplot_demo_pyplot_004.png)
+
+```python
+red_square = dict(markerfacecolor='r', marker='s')
+fig5, ax5 = plt.subplots()
+ax5.set_title('Horizontal Boxes')
+ax5.boxplot(data, vert=False, flierprops=red_square)
+```
+
+![Boxplot示例5](https://matplotlib.org/_images/sphx_glr_boxplot_demo_pyplot_005.png)
+
+```python
+fig6, ax6 = plt.subplots()
+ax6.set_title('Shorter Whisker Length')
+ax6.boxplot(data, flierprops=red_square, vert=False, whis=0.75)
+```
+
+![Boxplot示例6](https://matplotlib.org/_images/sphx_glr_boxplot_demo_pyplot_006.png)
+
+模拟一些更多的数据。
+
+```python
+spread = np.random.rand(50) * 100
+center = np.ones(25) * 40
+flier_high = np.random.rand(10) * 100 + 100
+flier_low = np.random.rand(10) * -100
+d2 = np.concatenate((spread, center, flier_high, flier_low))
+data.shape = (-1, 1)
+d2.shape = (-1, 1)
+```
+
+仅当所有列的长度相同时，才能生成二维数组。 如果不是，则使用列表。 这实际上更有效，因为boxplot无论如何都会在内部将2-D数组转换为向量列表。
+
+```python
+data = [data, d2, d2[::2,0]]
+fig7, ax7 = plt.subplots()
+ax7.set_title('Multiple Samples with Different sizes')
+ax7.boxplot(data)
+
+plt.show()
+```
+
+![Boxplot示例7](https://matplotlib.org/_images/sphx_glr_boxplot_demo_pyplot_007.png)
+
+## 参考
+
+此示例中显示了以下函数，方法，类和模块的使用：
+
+```python
+import matplotlib
+matplotlib.axes.Axes.boxplot
+matplotlib.pyplot.boxplot
+```
+
+## 下载这个示例
+            
+- [下载python源码: boxplot_demo_pyplot.py](https://matplotlib.org/_downloads/boxplot_demo_pyplot.py)
+- [下载Jupyter notebook: boxplot_demo_pyplot.ipynb](https://matplotlib.org/_downloads/boxplot_demo_pyplot.ipynb)