NumPy Matrix 与 Array 类的乘法有何不同? [英] how does multiplication differ for NumPy Matrix vs Array classes?

问题描述

numpy 文档建议使用数组而不是矩阵来处理矩阵.但是，与八度(我直到最近才使用)不同，* 不执行矩阵乘法，您需要使用函数 matrixmultipy().我觉得这使得代码非常不可读.

The numpy docs recommend using array instead of matrix for working with matrices. However, unlike octave (which I was using till recently), * doesn't perform matrix multiplication, you need to use the function matrixmultipy(). I feel this makes the code very unreadable.

有人分享我的观点并找到解决方案吗?

Does anybody share my views, and has found a solution?

推荐答案

在 3.5 中，Python 终于 得到了一个矩阵乘法运算符.语法是a @ b.

In 3.5, Python finally got a matrix multiplication operator. The syntax is a @ b.

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