Python 将 2D numpy 数组转换为 2D numpy 矩阵
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convert a 2D numpy array to a 2D numpy matrix
提问by abcdxx
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，我必须在其中将 2D 数组转换为 2D 矩阵，以便我可以使用它来计算逆。为此，我使用 numpy.matrix(array) 但它不起作用。谁能告诉如何将二维数组转换为 numpy 矩阵？数组由所有浮点数组成
回答by Tobias Kienzler
If ais your array, np.asmatrix(a)is a matrix.
如果a是您的数组，np.asmatrix(a)则是矩阵。
回答by strpeter
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:
这里给出了一个简短的例子：
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)
