计算python中每15行的方差和标准差

import numpy as np

# 假设数据存储在一个名为data的列表中
data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 
        16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30,
        31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45]

# 定义一个空列表用于保存每组数据的方差和标准差
variances = []
std_devs = []

# 每15行进行分组计算
for i in range(0, len(data), 15):
    group_data = data[i:i+15]
    variance = np.var(group_data)
    std_dev = np.std(group_data)
    variances.append(variance)
    std_devs.append(std_dev)

# 打印每组数据的方差和标准差
for i in range(len(variances)):
    print(f"第{i+1}组数据的方差为：{variances[i]}，标准差为：{std_devs[i]}")

pip install numpy