|
From: Zachary P. <zp...@st...> - 2006-02-11 06:40:15
|
The "broadcasting" entry is somewhat unclear in terms of what "conforming" array shapes are. Perhaps "compatible shapes" would be better, coupled with an example or two of "compatible" shapes, and/or a precise definition of how compatibility is determined. Zach Pincus Program in Biomedical Informatics and Department of Biochemistry Stanford University School of Medicine On Feb 10, 2006, at 9:55 PM, Gary Ruben wrote: > David Cooke corrected my misconceptions, so the glossary all looks > good to me. > > Gary R. > > Sasha wrote: >> On 2/11/06, Gary Ruben <gr...@bi...> wrote: >>> Stride isn't the distance in bytes is it? Isn't it just the index >>> increment or alternatively the distance in terms of the >>> multiplier of >>> the word length of the contained type. >> Unfortunately it is in bytes and Travis convinced me that there is no >> way to change it. >>> Also, a slight typo: concecutive -> consecutive. >> I've changed that. In the future, please just edit the wiki for >> obvious misspellings. Spell check does not work for me on that wiki >> and English is not my first language, so any spelling/grammar >> corrections are more than welcome. >>> Record >>> A composite element of an array similar to C struct. >>> >>> This implies that you can contain different types in a record, >>> which I >>> think is only true if you have an object array. >> Record arrays is a new feature in numpy. I think what I wrote is >> correct, but this entry will definitely benefit from a review by >> someone familiar with record arrays since I am not. > > > ------------------------------------------------------- > 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://sel.as-us.falkag.net/sel? > cmd=lnk&kid=103432&bid=230486&dat=121642 > _______________________________________________ > Numpy-discussion mailing list > Num...@li... > https://lists.sourceforge.net/lists/listinfo/numpy-discussion |