如何根据一列中观测值的百分比进行分类

# 假设有一个包含观测值的列表
observations = [0.15, 0.35, 0.6, 0.8, 0.25, 0.9, 0.4]

# 定义分类的阈值
thresholds = [0.2, 0.5]

# 初始化分类结果字典
categories = {
    'Category 1': [],
    'Category 2': [],
    'Category 3': []
}

# 遍历观测值并进行分类
for observation in observations:
    if observation <= thresholds[0]:
        categories['Category 1'].append(observation)
    elif observation <= thresholds[1]:
        categories['Category 2'].append(observation)
    else:
        categories['Category 3'].append(observation)

# 打印分类结果
for category, values in categories.items():
    print(f"{category}: {values}")

# 输出结果：
# Category 1: [0.15]
# Category 2: [0.35, 0.25, 0.4]
# Category 3: [0.6, 0.8, 0.9]