matplotlib & pandas

Python/matplotlab/gallery/statistics/customized_violin.md

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+# 自定义小提琴图
+
+此示例演示如何完全自定义小提琴图。 第一个图通过仅提供数据来显示默认样式。第二个图首先限制了matplotlib用额外的kwargs绘制的内容。然后在顶部绘制箱形图的简化表示。 最后，修改了小提琴图的风格。
+
+有关小提琴图的更多信息，scikit-learn文档有一个很棒的部分：http://scikit-learn.org/stable/modules/density.html
+
+![自定义小提琴图示例](https://matplotlib.org/_images/sphx_glr_customized_violin_001.png)
+
+```python
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def adjacent_values(vals, q1, q3):
+    upper_adjacent_value = q3 + (q3 - q1) * 1.5
+    upper_adjacent_value = np.clip(upper_adjacent_value, q3, vals[-1])
+
+    lower_adjacent_value = q1 - (q3 - q1) * 1.5
+    lower_adjacent_value = np.clip(lower_adjacent_value, vals[0], q1)
+    return lower_adjacent_value, upper_adjacent_value
+
+
+def set_axis_style(ax, labels):
+    ax.get_xaxis().set_tick_params(direction='out')
+    ax.xaxis.set_ticks_position('bottom')
+    ax.set_xticks(np.arange(1, len(labels) + 1))
+    ax.set_xticklabels(labels)
+    ax.set_xlim(0.25, len(labels) + 0.75)
+    ax.set_xlabel('Sample name')
+
+
+# create test data
+np.random.seed(19680801)
+data = [sorted(np.random.normal(0, std, 100)) for std in range(1, 5)]
+
+fig, (ax1, ax2) = plt.subplots(nrows=1, ncols=2, figsize=(9, 4), sharey=True)
+
+ax1.set_title('Default violin plot')
+ax1.set_ylabel('Observed values')
+ax1.violinplot(data)
+
+ax2.set_title('Customized violin plot')
+parts = ax2.violinplot(
+        data, showmeans=False, showmedians=False,
+        showextrema=False)
+
+for pc in parts['bodies']:
+    pc.set_facecolor('#D43F3A')
+    pc.set_edgecolor('black')
+    pc.set_alpha(1)
+
+quartile1, medians, quartile3 = np.percentile(data, [25, 50, 75], axis=1)
+whiskers = np.array([
+    adjacent_values(sorted_array, q1, q3)
+    for sorted_array, q1, q3 in zip(data, quartile1, quartile3)])
+whiskersMin, whiskersMax = whiskers[:, 0], whiskers[:, 1]
+
+inds = np.arange(1, len(medians) + 1)
+ax2.scatter(inds, medians, marker='o', color='white', s=30, zorder=3)
+ax2.vlines(inds, quartile1, quartile3, color='k', linestyle='-', lw=5)
+ax2.vlines(inds, whiskersMin, whiskersMax, color='k', linestyle='-', lw=1)
+
+# set style for the axes
+labels = ['A', 'B', 'C', 'D']
+for ax in [ax1, ax2]:
+    set_axis_style(ax, labels)
+
+plt.subplots_adjust(bottom=0.15, wspace=0.05)
+plt.show()
+```
+
+## 下载这个示例
+            
+- [下载python源码: customized_violin.py](https://matplotlib.org/_downloads/customized_violin.py)
+- [下载Jupyter notebook: customized_violin.ipynb](https://matplotlib.org/_downloads/customized_violin.ipynb)