关于numpy stack,hstack,vstack

1. stack

针对维度相同的矩阵

test_1 = np.array([[1, 2, 3], [4, 5, 6]])test_2 = np.array([[11, 12, 13], [14, 15, 16]])# 0,1,2分别代表所有，行合并，列合并print(np.stack((test_1, test_2), axis=2))print(np.stack((test_1, test_2), axis=1))print(np.stack((test_1, test_2), axis=0))

1. hstack
   hstack和vstack均针对于列向量和矩阵

# 类似于np.stack(*****, axis=2)test_1 = np.array([[1, 2, 3], [4, 5, 6]])t = np.arange(1, 3).reshape((-1, 1))print(np.hstack((t, test_1 )))

1. vstack

# 类似于np.stack(*****, axis=1)test_1 = np.array([[1, 2, 3], [4, 5, 6]])t = np.arange(1, 4).reshape((1, -1))print(np.vstack((t, test_1)))