Sorting in Sparse Matrix

I have a sparse matrix. I need to sort this matrix row-by-row and create another [sparse] matrix. Code may explain it better:

# for `rand` function, you need newer version of scipy.
from scipy.sparse import *
m = rand(6,6, density=0.6)
d = m.getrow(0)
print d

Output1

(0, 5) 0.874881629788 
(0, 4) 0.352559852239 
(0, 2) 0.504791645463 
(0, 1) 0.885898140175

I have this m matrix. I want to create a new matrix with sorted version of m. The new matrix contains 0'th row like this.

new_d = new_m.getrow(0)
print new_d

Output2

(0, 1) 0.885898140175
(0, 5) 0.874881629788  
(0, 2) 0.504791645463
(0, 4) 0.352559852239

So I can obtain which column is bigger etc:

print new_d.indices

Output3

array([1, 5, 2, 4])

Of course every row should be sorted like above independently.

I have one solution for this problem but it is not elegant.