[SciPy-user] sparse matrices -- slicing and fancy indexing for assignment
Tue Sep 30 09:09:52 CDT 2008
Hey folks -
I installed SciPy 0.7.0.dev4753 from svn yesterday to get access to
some of the upcoming improvements to scipy.sparse.
In particular, I was excited about the prospect of slicing and fancy
indexing for CSC and CSR matrices. Unfortunately, I find now that
slicing and fancy indexing are only supported for viewing and copying,
not for assignment. E.g.:
# Create a sparse CSC matrix A
>>> from scipy import sparse
>>> A = sparse.eye(10,10,format="csc")
# Have a look at the first row of A
>>> print A[0,:].todense()
[[ 1. 0. 0. 0. 0. 0. 0. 0. 0. 0.]]
# Now try to set the first row equal to 5
>>> A[0,:] = 5.
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
compressed.py", line 601, in __setitem__
raise NotImplementedError("Fancy indexing in assignment not "
NotImplementedError: Fancy indexing in assignment not supported for
Is slicing / fancy indexing for assignment planned for the final 0.7.0
release, or is this (above) the best we're going to get?
Best, Chris MacMinn
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