如何从具有周期性边界条件的numpy数组中选择窗口？

 ```python

 # 跨越边界的部分

 window_part1 = arr[window_position:]

 window_part2 = arr[:window_position+window_size-len(arr)]

 # 不跨越边界的部分

 window_part3 = arr[window_position:window_position+window_size]

 # 合并窗口

 window = np.concatenate((window_part1, window_part2, window_part3))

 ```

import numpy as np

# 创建具有周期性边界条件的numpy数组
arr = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])

# 定义窗口的大小和位置
window_size = 4
window_position = 8

# 选择窗口
if window_position + window_size <= len(arr):
    # 窗口不跨越数组边界
    window = arr[window_position:window_position+window_size]
else:
    # 窗口跨越数组边界
    window_part1 = arr[window_position:]
    window_part2 = arr[:window_position+window_size-len(arr)]
    window_part3 = arr[window_position:window_position+window_size]
    window = np.concatenate((window_part1, window_part2, window_part3))

print(window)