论numpy中matrix 和 array的区别
https://blog.csdn.net/vincentlipan/article/details/20717163
1.示例_1#example_1:
a = np.array([[1,2],[2,3],[3,4]])
b = np.array([[3,4],[4,5]])
print('a=\n',a)
print('b=\n',b)
d = a.dot(b)
print('d=\n',d)
#输出为:
a=
[[1 2]
[2 3]
[3 4]]
b=
[[3 4]
[4 5]]
d=
[[11 14]
[18 23]
[25 32]
2. 示例_2
a = np.array([[1,2],[2,3]])
b = np.array([[3,4],[4,5]])
print('a=\n',a)
print('b=\n',b)
c = a*b
d = a.dot(b)
print('c=\n',c)
print('d=\n',d)
#输出为:
a=
[[1 2]
[2 3]]
b=
[[3 4]
[4 5]]
c=
[[ 3 8]
[ 8 15]]
d=
[[11 14]
[18 23]]
注:“*”为对应元素相乘,要求两个相乘的矩阵形式相同