python 向量合并 python向量乘积

python 向量交叉乘积与模计算

import numpy as np

# 二维向量 交叉乘积
hxv = np.random.randint(1, 10, (3, 2), np.int32)
hmv = np.random.randint(1, 10, (3, 2), np.int32)
print('向量数组一\n', hxv)
print('向量数组二\n', hmv)
# a1 b1
# a2 b2
# =(a1*b2 - a2*b1)
d = np.cross(hxv, hmv)
print('结果\n', d)
print('*' * 40)

# 三维向量 交叉乘积
hxv_zero = np.zeros((3, 3), np.int32)
hmv_zero = np.zeros((3, 3), np.int32)
hxv_zero[:, :-1] = hxv
hmv_zero[:, :-1] = hmv
print('向量数组一\n', hxv_zero)
print('向量数组二\n', hmv_zero)
# a1 b1 c1
# a2 b2 c2
# =(b1*c2-b2*c1,c1*a2-a1*c2,a1*b2-a2*b1)
d_zero = np.cross(hxv_zero, hmv_zero)
print('结果\n', d_zero)
print('-' * 40)
# 向量模运算
mv = (np.random.rand(1, 2) - 0.5) * 20
print('向量', mv)
# 向量模
print('摸运算结果：', np.linalg.norm(mv, ord=2))