将2D numpy数组转换为2D numpy矩阵

I have a python code in which I have to convert a 2D array to a 2D matrix so that I can use it to calculate inverse.For that I am using numpy.matrix(array) but it is not working. Can anyone tell how to convert a 2D array to a numpy matrix? The array consists of all float numbers

我有一个python代码，我必须将2D数组转换为2D矩阵，以便我可以使用它来计算逆。因为我使用numpy.matrix（数组），但它不起作用。任何人都可以告诉如何将2D数组转换为numpy矩阵？该数组由所有浮点数组成

2 个解决方案

#1

If a is your array, np.asmatrix(a) is a matrix.

如果a是你的数组，则np.asmatrix（a）是一个矩阵。

#2

If you have a list of lists (as you mentioned), you need to convert it first to a numpy array; see how to convert 2d list to 2d numpy array?

如果你有一个列表列表（如你所提到的），你需要先将它转换为一个numpy数组;看看如何将2d列表转换为2d numpy数组？

A short example is given here:

这里给出一个简短的例子：

import numpy as np
a = [[  0. +0.j,   1.j,   2. -2.j],
     [  4. -4.j,   5. -5.j,   6. -1.j],
     [  8. -8.j,   9. -9.j,  10.]]
b = np.matrix(np.array(a))
b_inv = np.linalg.inv(b)

#1