python:如何将p值的意义添加到barplot

import matplotlib.pyplot as plt
import numpy as np
import scipy.stats as stats

# 创建示例数据
x = ['A', 'B', 'C', 'D']
y = [10, 7, 5, 12]

# 绘制barplot
plt.bar(x, y)
plt.xlabel('Categories')
plt.ylabel('Values')
plt.title('Barplot Example')
plt.show()

# 假设总体均值为8
population_mean = 8

# 计算每个条形图的p值
p_values = []
for value in y:
    t_statistic, p_value = stats.ttest_1samp(y, population_mean)
    p_values.append(p_value)

print(p_values)

# 绘制带有p值的barplot
plt.bar(x, y)
plt.xlabel('Categories')
plt.ylabel('Values')
plt.title('Barplot Example')

# 添加p值文本
for i in range(len(x)):
    plt.text(i, y[i] + 0.5, f'p={p_values[i]:.3f}', ha='center')

plt.show()