在Python中从一个非常大的numpy ndarray中获取一个3*3子集矩阵

import numpy as np

# 假设 large_array 是一个非常大的 ndarray
large_array = np.random.rand(100, 100)  # 示例数组，实际应用中可能更大

# 获取3x3子集矩阵，位于中心位置
center_x = large_array.shape[0] // 2
center_y = large_array.shape[1] // 2
subset_matrix = large_array[center_x-1:center_x+2, center_y-1:center_y+2]

print(subset_matrix)

if large_array.shape[0] < 3 or large_array.shape[1] < 3:
    raise ValueError("Array dimensions are too small to extract a 3x3 subset.")

center_x = max(1, min(large_array.shape[0] // 2, large_array.shape[0] - 2))
center_y = max(1, min(large_array.shape[1] // 2, large_array.shape[1] - 2))
subset_matrix = large_array[center_x-1:center_x+2, center_y-1:center_y+2]

subset_matrix = np.copy(large_array[center_x-1:center_x+2, center_y-1:center_y+2])