mirror of
https://github.com/Estom/notes.git
synced 2026-02-06 12:04:05 +08:00
112 lines
3.6 KiB
Markdown
112 lines
3.6 KiB
Markdown
# 箱形图抽屉功能
|
||
|
||
此示例演示如何将预先计算的箱形图统计信息传递到框图抽屉。第一个图演示了如何删除和添加单个组件（请注意，平均值是默认情况下未显示的唯一值）。第二个图展示了如何定制艺术风格。
|
||
|
||
关于箱形图及其历史的一个很好的一般参考可以在这里找到：http://vita.had.co.nz/papers/boxplots.pdf
|
||
|
||
```python
|
||
import numpy as np
|
||
import matplotlib.pyplot as plt
|
||
import matplotlib.cbook as cbook
|
||
|
||
# fake data
|
||
np.random.seed(19680801)
|
||
data = np.random.lognormal(size=(37, 4), mean=1.5, sigma=1.75)
|
||
labels = list('ABCD')
|
||
|
||
# compute the boxplot stats
|
||
stats = cbook.boxplot_stats(data, labels=labels, bootstrap=10000)
|
||
```
|
||
|
||
在我们计算了统计数据之后，我们可以通过并改变任何事情。 为了证明这一点，我将每组的中位数设置为所有数据的中位数，并将均值加倍
|
||
|
||
```python
|
||
for n in range(len(stats)):
|
||
stats[n]['med'] = np.median(data)
|
||
stats[n]['mean'] *= 2
|
||
|
||
print(list(stats[0]))
|
||
|
||
fs = 10 # fontsize
|
||
```
|
||
|
||
输出：
|
||
|
||
```python
|
||
['label', 'mean', 'iqr', 'cilo', 'cihi', 'whishi', 'whislo', 'fliers', 'q1', 'med', 'q3']
|
||
```
|
||
|
||
演示如何切换不同元素的显示：
|
||
|
||
```python
|
||
fig, axes = plt.subplots(nrows=2, ncols=3, figsize=(6, 6), sharey=True)
|
||
axes[0, 0].bxp(stats)
|
||
axes[0, 0].set_title('Default', fontsize=fs)
|
||
|
||
axes[0, 1].bxp(stats, showmeans=True)
|
||
axes[0, 1].set_title('showmeans=True', fontsize=fs)
|
||
|
||
axes[0, 2].bxp(stats, showmeans=True, meanline=True)
|
||
axes[0, 2].set_title('showmeans=True,\nmeanline=True', fontsize=fs)
|
||
|
||
axes[1, 0].bxp(stats, showbox=False, showcaps=False)
|
||
tufte_title = 'Tufte Style\n(showbox=False,\nshowcaps=False)'
|
||
axes[1, 0].set_title(tufte_title, fontsize=fs)
|
||
|
||
axes[1, 1].bxp(stats, shownotches=True)
|
||
axes[1, 1].set_title('notch=True', fontsize=fs)
|
||
|
||
axes[1, 2].bxp(stats, showfliers=False)
|
||
axes[1, 2].set_title('showfliers=False', fontsize=fs)
|
||
|
||
for ax in axes.flatten():
|
||
ax.set_yscale('log')
|
||
ax.set_yticklabels([])
|
||
|
||
fig.subplots_adjust(hspace=0.4)
|
||
plt.show()
|
||
```
|
||
|
||
|
||
|
||
演示如何自定义显示不同的元素：
|
||
|
||
```python
|
||
boxprops = dict(linestyle='--', linewidth=3, color='darkgoldenrod')
|
||
flierprops = dict(marker='o', markerfacecolor='green', markersize=12,
|
||
linestyle='none')
|
||
medianprops = dict(linestyle='-.', linewidth=2.5, color='firebrick')
|
||
meanpointprops = dict(marker='D', markeredgecolor='black',
|
||
markerfacecolor='firebrick')
|
||
meanlineprops = dict(linestyle='--', linewidth=2.5, color='purple')
|
||
|
||
fig, axes = plt.subplots(nrows=2, ncols=2, figsize=(6, 6), sharey=True)
|
||
axes[0, 0].bxp(stats, boxprops=boxprops)
|
||
axes[0, 0].set_title('Custom boxprops', fontsize=fs)
|
||
|
||
axes[0, 1].bxp(stats, flierprops=flierprops, medianprops=medianprops)
|
||
axes[0, 1].set_title('Custom medianprops\nand flierprops', fontsize=fs)
|
||
|
||
axes[1, 0].bxp(stats, meanprops=meanpointprops, meanline=False,
|
||
showmeans=True)
|
||
axes[1, 0].set_title('Custom mean\nas point', fontsize=fs)
|
||
|
||
axes[1, 1].bxp(stats, meanprops=meanlineprops, meanline=True,
|
||
showmeans=True)
|
||
axes[1, 1].set_title('Custom mean\nas line', fontsize=fs)
|
||
|
||
for ax in axes.flatten():
|
||
ax.set_yscale('log')
|
||
ax.set_yticklabels([])
|
||
|
||
fig.suptitle("I never said they'd be pretty")
|
||
fig.subplots_adjust(hspace=0.4)
|
||
plt.show()
|
||
```
|
||
|
||
|
||
|
||
## 下载这个示例
|
||
|
||
- [下载python源码: bxp.py](https://matplotlib.org/_downloads/bxp.py)
|
||
- [下载Jupyter notebook: bxp.ipynb](https://matplotlib.org/_downloads/bxp.ipynb) |