Kevin Jacobs <[EMAIL PROTECTED]> 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 -Travis ------------------------------------------------------------------------- Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT & business topics through brief surveys -- and earn cash http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion