On Wednesday 23 August 2006 18:37, Travis Oliphant wrote: > David M. Cooke wrote: > > On Wed, 23 Aug 2006 16:22:52 -0700 > > > > Sebastian Haase <[EMAIL PROTECTED]> wrote: > >> On Wednesday 23 August 2006 16:12, Bill Baxter wrote: > >>> The thing that I find I keep forgetting is that abs() is a built-in, > >>> but other simple functions are not. So it's abs(foo), but > >>> numpy.floor(foo) and numpy.ceil(foo). And then there's round() which > >>> is a built-in but can't be used with arrays, so numpy.round_(foo). > >>> Seems like it would be more consistent to just add a numpy.abs() and > >>> numpy.round(). > >> > >> Regarding the original subject: > >> a) "absolute" is impractically too much typing and > >> b) I just thought some (module-) functions might be "forgotten" to be > >> put in as (object-) methods ... !? > > > > Four-line change, so I added a.abs() (three lines for array, one > > for MaskedArray). > > While I appreciate it's proactive nature, I don't like this change > because it adds another "ufunc" as a method. Right now, I think conj is > the only other method like that. > > Instead, I like better the idea of adding abs, round, max, and min to > the "non-import-*" namespace of numpy. > How does this compare with mean, min, max, average ?
BTW: I think me choice is now settled on the builtin call: abs(arr) -- short and sweet. (As long as it is really supposed to *always* work and is not *slow* in any way !?!?!?!?) Cheers, Sebastian ------------------------------------------------------------------------- Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642 _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
