I have got an optimization problem defined in cvxpy, but want to work with the result in my code in numpy afterwards - how can I convert it from cvxpy into numpy?
It is of type
<class 'numpy.matrixlib.defmatrix.matrix'>
If I want to plot it to see the result, matplotlib shows only a blue area.
https://docs.scipy.org/doc/numpy/reference/generated/numpy.matrix.view.html seems to have all you need
numpy's view can be used (afaik) in any which way you can use numpy's array directly.
It makes sense to "convert" to a numpy array if you want to get a copy of data:
y
matrix([[1, 0, 0, 0, 2, 0, 0, 0],
[3, 0, 0, 0, 4, 0, 0, 0]], dtype=int16)
type(y)
numpy.matrixlib.defmatrix.matrix
n = numpy.array(y)
n[1,2] = 999
n
array([[ 1, 0, 0, 0, 2, 0, 0, 0],
[ 3, 0, 999, 0, 4, 0, 0, 0]], dtype=int16)
y
matrix([[1, 0, 0, 0, 2, 0, 0, 0],
[3, 0, 0, 0, 4, 0, 0, 0]], dtype=int16)