convert a 2D numpy array to a 2D numpy matrix

Question

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

Answer 1

如果a是你的数组，则np.asmatrix(a)是一个矩阵。

Answer 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?

A short example is given here:

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)