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pythonmatlabnumpyscipysparse-matrix
user3821329
user3821329

Reputation: 317

importing a python sparse matrix into MATLAB

I've a Sparse matrix in CSR Sparse format in python and I want to import it to MATLAB. MATLAB does not have a CSR Sparse format. It has only 1 Sparse format for all kind of matrices. Since the matrix is very large in the dense format I was wondering how could I import it as a MATLAB sparse matrix?

Upvotes: 8

Views: 3813

Answers (2)

hpaulj
hpaulj

Reputation: 231335

The scipy.io.savemat saves sparse matrices in a MATLAB compatible format:

In [1]: from scipy.io import savemat, loadmat
In [2]: from scipy import sparse
In [3]: M = sparse.csr_matrix(np.arange(12).reshape(3,4))
In [4]: savemat('temp', {'M':M})

In [8]: x=loadmat('temp.mat')
In [9]: x
Out[9]: 
{'M': <3x4 sparse matrix of type '<type 'numpy.int32'>'
    with 11 stored elements in Compressed Sparse Column format>,
 '__globals__': [],
 '__header__': 'MATLAB 5.0 MAT-file Platform: posix, Created on: Mon Sep  8 09:34:54 2014',
 '__version__': '1.0'}

In [10]: x['M'].A
Out[10]: 
array([[ 0,  1,  2,  3],
       [ 4,  5,  6,  7],
       [ 8,  9, 10, 11]])

Note that savemat converted it to csc. It also transparently takes care of the index starting point difference.

And in Octave:

octave:4> load temp.mat
octave:5> M
M =
Compressed Column Sparse (rows = 3, cols = 4, nnz = 11 [92%])
  (2, 1) ->  4
  (3, 1) ->  8
  (1, 2) ->  1
  (2, 2) ->  5
  ...

octave:8> full(M)
ans =    
    0    1    2    3
    4    5    6    7
    8    9   10   11

Upvotes: 6

Molly
Molly

Reputation: 13610

The Matlab and Scipy sparse matrix formats are compatible. You need to get the data, indices and matrix size of the matrix in Scipy and use them to create a sparse matrix in Matlab. Here's an example:

from scipy.sparse import csr_matrix
from scipy import array

# create a sparse matrix
row = array([0,0,1,2,2,2])
col = array([0,2,2,0,1,2])
data = array([1,2,3,4,5,6])

mat = csr_matrix( (data,(row,col)), shape=(3,4) )

# get the data, shape and indices
(m,n) = mat.shape
s = mat.data
i = mat.tocoo().row
j = mat.indices

# display the matrix
print mat

Which prints out:

  (0, 0)        1
  (0, 2)        2
  (1, 2)        3
  (2, 0)        4
  (2, 1)        5
  (2, 2)        6

Use the values m, n, s, i, and j from Python to create a matrix in Matlab:

m = 3;
n = 4;
s = [1, 2, 3, 4, 5, 6];
% Index from 1 in Matlab.
i = [0, 0, 1, 2, 2, 2] + 1;
j = [0, 2, 2, 0, 1, 2] + 1;

S = sparse(i, j, s, m, n, m*n)

Which gives the same Matrix, only indexed from 1. 

   (1,1)        1
   (3,1)        4
   (3,2)        5
   (1,3)        2
   (2,3)        3
   (3,3)        6

Upvotes: 4

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