Thanks so so much.
Finally, it works.
>>> import scipy.sparse.linalg.eigen.arpack as arpack
>>> dir(arpack)
['__builtins__', '__doc__', '__file__', '__name__', '__package__',
'__path__', '
_arpack', 'arpack', 'aslinearoperator', 'eigen', 'eigen_symmetric',
'np', 'speig
s', 'warnings']
>>>
But I still didn't get it. Why some of you can directly use
scipy.sparse.linalg.eigen as a function, while some of you couldn't use
it that way?
Anyway, your solution works for me.
On 1/12/2010 9:19 AM, Arnar Flatberg wrote:
On Tue, Jan 12, 2010 at 4:11 PM, Jankins <andyjian430...@gmail.com
<mailto:andyjian430...@gmail.com>> wrote:
Hi
On my Ubuntu, I would reach the arpack wrapper as follows:
from scipy.sparse.linalg.eigen.arpack import eigen
However, I'd guess that you deal with a symmetric matrix (Laplacian or
adjacency matrix), so the symmetric solver might be the best choice.
This might be reached by:
In [29]: from scipy.sparse.linalg.eigen.arpack import eigen_symmetric
In [30]: scipy.__version__
Out[30]: '0.7.0'
Arnar
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