三倍标准差画箱型图的代码
时间: 2023-07-09 20:10:39 浏览: 99
以下是使用Python中的matplotlib库绘制三倍标准差范围内数据的箱型图的示例代码:
```python
import matplotlib.pyplot as plt
import numpy as np
# 生成一组随机数据
np.random.seed(123)
data = np.random.normal(size=(100, 4), loc=0, scale=1)
# 计算三倍标准差范围内的数据
data_mean = np.mean(data, axis=0)
data_std = np.std(data, axis=0)
lower_bound = data_mean - 3 * data_std
upper_bound = data_mean + 3 * data_std
data_within_3std = data[(data > lower_bound) & (data < upper_bound)]
# 绘制箱型图
fig, ax = plt.subplots()
ax.boxplot(data_within_3std)
ax.set_title('Box plot within 3 std range')
ax.set_xlabel('X-axis')
ax.set_ylabel('Y-axis')
plt.show()
```
在这个示例中,我们首先使用numpy库生成一组100行4列的随机数据,然后计算出数据的均值和标准差,再根据三倍标准差范围内的数据生成一个新的数据集。最后,我们使用matplotlib库中的boxplot函数来绘制箱型图,并添加一些标签和标题,然后使用plt.show()函数来显示图形。
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