[SciPy-user] Sparse Boolean matrix

Nils Wagner nwagner@iam.uni-stuttgart...
Tue Jun 10 12:41:53 CDT 2008


On Tue, 10 Jun 2008 19:21:14 +0200
  "Lukas Michelbacher" <michells@ims.uni-stuttgart.de> 
wrote:
> As the title says I'd like to use a matrix with Boolean 
>values in some
> sparse format.
> My problem is that even though initialization seems to 
>works fine, the
> matrix doesn't
> contain Boolean values but the default float type.
> 
> In [18]: A = sparse.csr_matrix((1000,1000), dtype=bool)
> 
> In [19]: A
> Out[19]:
> <1000x1000 sparse matrix of type '<type 
>'numpy.float64'>'
>        with 0 stored elements (space for 100)
>        in Compressed Sparse Row format>
> 
> The same happens for CSC, LIL and COO formats.
> 
> I use SciPy 0.6.0



>>> from scipy import *
>>> A = sparse.csr_matrix((1000,1000), dtype=bool)
>>> A
<1000x1000 sparse matrix of type '<type 'numpy.bool_'>'
         with 0 stored elements in Compressed Sparse Row 
format>
>>> scipy.__version__
'0.7.0.dev4423'

  >>> A = sparse.coo_matrix((1000,1000), dtype=bool)
>>> A
<1000x1000 sparse matrix of type '<type 'numpy.bool_'>'
         with 0 stored elements in COOrdinate format>
>>> A = sparse.lil_matrix((1000,1000), dtype=bool)
>>> A
<1000x1000 sparse matrix of type '<type 'numpy.bool_'>'
         with 0 stored elements in LInked List format>
>>> A = sparse.dok_matrix((1000,1000), dtype=bool)
>>> A
<1000x1000 sparse matrix of type '<type 'numpy.bool_'>'
         with 0 stored elements in Dictionary Of Keys 
format>



Nils



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