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From: Todd M. <jm...@st...> - 2005-12-01 21:40:07
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Sebastian Haase wrote: >(this was posted to SciPy on 2005-11-16 16:37 - maybe I got lost ;-) >Todd, >I'm just thinking of a nice feature that I think is now part of new > scipyCore: Mixing index ranges in one axis with index lists in another. >Example: > I have index 4,7,9 that I'm intrested in: use a[ [4,7,9] ] > If I want all section I obviously just say a[ : ] >But what do I do in the 2d case where I want 4,7,9 in one axis and all in the >other ? I understood that the new scipyCore allows a[:, [4,7,9]] >whereas numarray gives an error !? > > Yep, my impression is that the indexing in scipy newcore is an improvement over numarray which was itself a functional improvement over Numeric. I'm pretty sure fixing this in numarray is not a simple hack so, for now anyway, it won't get fixed. I wish I had better news... Regards, Todd >Thanks, >Sebastian Haase > >On Friday 04 November 2005 14:57, Todd Miller wrote: > > >>Sebastian Haase wrote: >> >> >>>Also I always need to thank Todd et al. for numarray which we are using >>>for about 4 years now. >>> >>> >>I'm glad you found numarray useful. >> >> >> >>>I was following - I thought - all the postings here, but I don't remember >>>when and what the reason was when a.type() changed to a.dtype (also >>>there is a "dtypecode" somewhere !?). Any reference or explanation would >>>be great. I have to say that the (old) parenthesis where always quite >>>"annoying" ! ;-) >>> >>>Question: does the way allow assignments like "a.dtype = Float32". >>>What does it do ? If not, is it raising an error (I had 2 different people >>>yesterday who tried to assign to a.type here in our lab ...) >>> >>>Also is this now completely supported/tested and suggested for numarray ? >>>(For the time numarray is still separate) >>> >>> >>I'm adding support for some of newcore's new interface features out of >>desire to make it easier to migrate. Our intent is to make it possible >>to write newcore code and run it on numarray now as newcore matures. >>Not every newcore feature is going to be supported, but we'll make an >>effort to support those which are easy to implement. Let me know is >>there's some newcore idiom you want to use that numarray doesn't have yet. >> >>Regards, >>Todd >> >> > >_______________________________________________ >SciPy-user mailing list >Sci...@sc... >http://www.scipy.net/mailman/listinfo/scipy-user > > >------------------------------------------------------- >This SF.net email is sponsored by: Splunk Inc. Do you grep through log files >for problems? Stop! Download the new AJAX search engine that makes >searching your log files as easy as surfing the web. DOWNLOAD SPLUNK! >http://ads.osdn.com/?ad_id=7637&alloc_id=16865&op=click >_______________________________________________ >Numpy-discussion mailing list >Num...@li... >https://lists.sourceforge.net/lists/listinfo/numpy-discussion > > |