如何使用 Matplotlib 在直方图中表示中心点和置信区间？

import matplotlib.pyplot as plt

# 数据准备
data = {
    'A': [
        {'core1': 10, 'up1': 12, 'down1': 8},
        {'core2': 15, 'up2': 18, 'down2': 12}
    ],
    'B': [
        {'core1': 7,  'up1': 9,  'down1': 5},
        {'core2': 12, 'up2': 14, 'down2': 10}
    ],
    'C': [
        {'core1': 9,  'up1': 11, 'down1': 7},
        {'core2': 14, 'up2': 16, 'down2': 12}
    ]
}

# 创建一行两列的子图
fig, axs = plt.subplots(1, 2)

# 遍历数据并绘制错误条形图
for i, (key, values) in enumerate(data.items()):
    # 获取数据
    core1s = [value['core1'] for value in values]
    up1s = [value['up1'] for value in values]
    down1s = [value['down1'] for value in values]
    core2s = [value['core2'] for value in values]
    up2s = [value['up2'] for value in values]
    down2s = [value['down2'] for value in values]

    # 绘制错误条形图
    axs[i].errorbar(core1s, up1s, down1s, linestyle='none', marker='o')
    axs[i].errorbar(core2s, up2s, down2s, linestyle='none', marker='o')

# 设置标签
axs[0].set_title('组A')
axs[1].set_title('组B')

# 显示图形
plt.show()