将三维数组过滤为一维数组的最快方法

def flatten_3d_array(arr):
    result = []
    for i in arr:
        for j in i:
            for k in j:
                result.append(k)
    return result

# 示例使用
three_d_array = [[[1, 2], [3, 4]], [[5, 6], [7, 8]]]
one_d_array = flatten_3d_array(three_d_array)
print(one_d_array)  # 输出: [1, 2, 3, 4, 5, 6, 7, 8]

three_d_array = [[[1, 2], [3, 4]], [[5, 6], [7, 8]]]
one_d_array = [item for sublist1 in three_d_array for sublist2 in sublist1 for item in sublist2]
print(one_d_array)  # 输出: [1, 2, 3, 4, 5, 6, 7, 8]

import numpy as np

three_d_array = np.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]])
one_d_array = three_d_array.flatten()
print(one_d_array)  # 输出: [1 2 3 4 5 6 7 8]