On Wed, 21 Jun 2006 10:50:26 -0600 Travis Oliphant <[EMAIL PROTECTED]> wrote:
> > So, in SVN NumPy, you will be able to do > > a[:,V>0] > a[V>0,:] > > The V>0 will be replaced with integer arrays as if nonzero(V>0) had been > called. OK. But just for the record, we should note how to do the operation that this used to do, eg. >>> a=numpy.array([1,2]) >>> a[[numpy.bool_(1)]] array([2]) >>> This could be a way of, say, maping a large boolean array onto some other values (1 or 2 in the above case). So, with the new implementation, is it possible to cast the bool array to an integer type without incurring a copy overhead ? And finally, is someone keeping track of the performance of array getitem ? It seems that as travis overloads it more and more it might then slow down in some cases. I must admit my vision is blurring and head is spining as numpy goes through these growing pains. I hope it's over soon. Not because I have trouble keeping up (although i do) but it's my matlab/R/numarray entrenched co-workers who cannot be exposed to this unstable development (they will run screaming to the woods). cheers, Simon. -- Simon Burton, B.Sc. Licensed PO Box 8066 ANU Canberra 2601 Australia Ph. 61 02 6249 6940 http://arrowtheory.com All the advantages of Linux Managed Hosting--Without the Cost and Risk! Fully trained technicians. The highest number of Red Hat certifications in the hosting industry. Fanatical Support. Click to learn more http://sel.as-us.falkag.net/sel?cmd=lnk&kid=107521&bid=248729&dat=121642 _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
