在使用seaborn时，如何从箱线图中获取统计值？

import seaborn as sns
import matplotlib.pyplot as plt

# 导入数据，这里以一个名为data的DataFrame为例
data = ...

sns.boxplot(x='column_name', y='column_name', data=data)
plt.show()

axes = sns.boxplot(x='column_name', y='column_name', data=data)

# 获取统计值
median = axes.lines[4].get_ydata()[0]
q1 = axes.lines[5].get_ydata()[0]
q3 = axes.lines[6].get_ydata()[0]
whiskers = [line.get_ydata()[0] for line in axes.lines[7:9]]
outliers = [line.get_ydata()[0] for line in axes.lines[9:]]

print("Median:", median)
print("Q1:", q1)
print("Q3:", q3)
print("Upper Whisker:", whiskers[1])
print("Lower Whisker:", whiskers[0])
print("Outliers:", outliers)