[Numpy-discussion] Performance of defmatrix.py:103(__array_finalize__)
oliphant.travis at ieee.org
Wed Jul 19 10:46:20 CDT 2006
Kevin Jacobs <jacobs at bioinformed.com> wrote:
> Hi all,
> Is it expected that the following script would spend over half of the
> total execution time in defmatrix.py:103(__array_finalize__)?
> from numpy import matrix
> m=matrix( (1,1) )
> for i in range(1000000):
> m[0,0] = 0.
> Python version is 2.5b1, NumPy 0.9.8.
> More importantly, is there a way to avoid this overhead?
This over-head should be removed in latest SVN NumPy. Basically, at
each point in the loop the 0. is being converted to a matrix. You could
probably avoid the over-head by doing the conversion first to a 0-d array.
val = array(0.)
m = matrix( (1,1) )
for i in range(10000):
m[0,0] = val
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