Transform a struct to a matrix to feed it into SVD() function

x=load('/local/mazari/np_vector.mat') Hello,

 l have the following mat file created from python as follow :

import numpy as np
import scipy.io as sio
vect = np.random.randn(200,400)
sio.savemat('np_vector.mat', {'vect':vect})

l opened it in matlab as follow :

x=load('np_vector.mat')

x = 

    struct with fields:

      vect: [200×400 double]
  x = 

    struct with fields:

      vect: [200×400 double]

but it's a struct, l cann't display the values, access certain rows and columns given the index

l would like to transform this struct into a matrix in order to get the SVD decomposition.

[Phi,Lambda,PhiT] = svd(x);

Answer 1

[Steven Lord]

The title of your post is a bit misleading. You don't want to transform the struct into a matrix, you want to extract the matrix from the struct. You do that using dot indexing.

theMatrix = x.vect;

Now work with the variable theMatrix.