在Python中显示分组箱线图上的平均值和偏差值

import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd

# 创建示例数据
data = {
    'Group': ['Group 1', 'Group 1', 'Group 1', 'Group 2', 'Group 2', 'Group 2'],
    'Value': [10, 15, 13, 8, 12, 9]
}
df = pd.DataFrame(data)

# 使用seaborn库绘制分组箱线图
sns.boxplot(x='Group', y='Value', data=df)

# 计算平均值和偏差值
group_means = df.groupby('Group')['Value'].mean()
group_std = df.groupby('Group')['Value'].std()

# 添加平均值和偏差值到图表上
for i in range(len(group_means)):
    plt.text(i, group_means[i], f'Mean: {group_means[i]:.2f}\nStd: {group_std[i]:.2f}', ha='center', va='bottom')

# 显示图表
plt.show()