ValueError: operands could not be broadcast together with shapes (3000,20) (20,20)

本人出现的问题是，两个数组A，B的大小分别为(3000,20) (20,20), 是<numpy.ndarray>类型，而不是<matrix>类型，直接进行乘积C = A*B, 之后，提示上述错误，原因是数组大小“不一致”，解决方案，不用"*"符号，使用numpy中的dot()函数，可以实现两个二维数组的乘积，或者将数组类型转化为矩阵类型，使用"*"相乘，具体如下：

[python] view plaincopy

A = numpy.array([1,2], [3,4], [5,6]) # 3*2 numpy.ndarray
B = numpy.array([1,2,3], [4,5,6]) # 2*3 numpy.ndarray
C = A * B # raise error: ValueError: operands could not be broadcast together with shapes (3,2) (2,2)
# solution method 1
C = numpy.dot(A, B) # C: 3*3 numpy.ndarray
# solution method 2
A_mat = numpy.matrix(A)
B_mat = numpy.matrix(B)
C = A_mat * B_mat # C: 3*3 numpy.matrixlib.defmatrix.matrix

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ValueError: operands could not be broadcast together with shapes (3000,20) (20,20)

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