二维numpy数组的交集

import numpy as np

# 创建两个二维数组
arr1 = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
arr2 = np.array([[4, 5, 6], [10, 11, 12], [1, 2, 3]])

# 找出行交集
row_intersection = np.intersect1d(arr1, arr2, axis=0)

print("行交集:\n", row_intersection)

# 确保两个数组的列数相同
arr1 = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
arr2 = np.array([[4, 5, 6], [10, 11, 12], [1, 2, 3]])

# 找出行交集
row_intersection = np.intersect1d(arr1, arr2, axis=0)

print("行交集:\n", row_intersection)

# 转置数组
arr1_transposed = arr1.T
arr2_transposed = arr2.T

# 找出列交集
col_intersection = np.intersect1d(arr1_transposed, arr2_transposed, axis=0)

print("列交集:\n", col_intersection.T)