两个不同Numpy阵列中点之间的最小欧几里德距离,而不是在

pip install scipy

import numpy as np
from scipy.spatial.distance import pdist, squareform

# 创建两个Numpy阵列
array1 = np.random.rand(10, 2)
array2 = np.random.rand(15, 2)

# 计算两个阵列中点之间的欧几里德距离
distances = pdist(array1, 'euclidean')
distances_between_arrays = pdist(array1, array2, 'euclidean')

# 将距离矩阵转换为对角线矩阵
distances_matrix = squareform(distances)
distances_between_arrays_matrix = squareform(distances_between_arrays)

# 找到最小欧几里德距离
min_distance = np.min(distances_matrix)
min_distance_between_arrays = np.min(distances_between_arrays_matrix)

print("最小欧几里德距离：", min_distance)
print("两个阵列中点之间的最小欧几里德距离：", min_distance_between_arrays)