【Python】python中的乘法dot和对应分量相乘multiply

向量点乘 (dot) 和对应分量相乘 (multiply) ：

>>> a
array([1, 2, 3])
>>> b
array([ 1.,  1.,  1.])
>>> np.multiply(a,b)
array([ 1.,  2.,  3.])
>>> np.dot(a,b)
6.0

矩阵乘法 (dot) 和对应分量相乘 (multiply) ：

>>> c
matrix([[1, 2, 3]])
>>> d
matrix([[ 1.,  1.,  1.]])
>>> np.multiply(c,d)
matrix([[ 1.,  2.,  3.]])
>>> np.dot(c,d)
Traceback (most recent call last):
  File "", line 1, in 
ValueError: shapes (1,3) and (1,3) not aligned: 3 (dim 1) != 1 (dim 0)

写代码过程中，*表示对应分量相乘 (multiply) ：

>>> a*b
array([ 1.,  2.,  3.])
>>> c*d
Traceback (most recent call last):
  File "", line 1, in 
  File "C:\ProgramData\Anaconda3\lib\site-packages\numpy\matrixlib\defmatrix.py", line 343, in __mul__
    return N.dot(self, asmatrix(other))
ValueError: shapes (1,3) and (1,3) not aligned: 3 (dim 1) != 1 (dim 0)