有没有办法每隔30行循环一次矩阵/数组/df以返回scipy.stats.describe

import numpy as np
from scipy import stats

# 生成一个示例矩阵/数组/df
matrix = np.random.rand(100, 10)

# 定义每隔30行循环一次的函数
def describe_every_30_rows(matrix):
    result = []
    for i in range(0, len(matrix), 30):
        subset = matrix[i:i+30]
        result.append(stats.describe(subset))
    return result

# 调用函数并打印结果
result = describe_every_30_rows(matrix)
for r in result:
    print(r)