Re: [Numpy-discussion] Medians that ignore values
On Sat, Sep 20, 2008 at 11:02 AM, Jake Harris <[EMAIL PROTECTED]>wrote: > > Because you're always working with probabilities, there is almost always no > ambiguity...whenever NaN is encounter, 0 is what is desired. > ...of course, division presents a good counterexample. > Bad idea? > So probably. ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] Medians that ignore values
(sorry for starting a new thread...I wasn't subscribed yet) Stéfan van der Walt wrote the following on 09/19/2008 02:10 AM: > > So am I. In all my use cases, NaNs indicate trouble. > I can provide a use case where NaNs do not indicate trouble. In fact, they need to be treated as 0. For example, As x->0 in y(x) = x log x, it is traditional (eg in information theory) to take y(0) = 0. So if one is multiplying arrays and 0 * -inf is encountered, the desirable behavior is that we get 0. Because you're always working with probabilities, there is almost always no ambiguity...whenever NaN is encounter, 0 is what is desired. Perhaps numpy can have some method by which a user can specify how NaNis treated (in addition to ignore, raise, etc). Good idea? Bad idea? ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] NEW GENERATED DLL ERROR FOUND WITHIN
David, Thanks for your reply. This is as to how I developed my .ptd file. I entered the following commands within this MS-DOS prompt within Windows XP: C:\python25\Scripts> C:\python25\python f2py.py -c --fcompiler=gnu95 --compiler=mingw32 -m hello hello.f90 I am using the gfortran compiler, that was prescribed to use on the following website: http://www.scipy.org/F2PY_Window I am also wondering if I have set my environment variables incorrectly? David, is this ms-dos the correct method to execute within MS-DOS? Thanks, Dsvid Message: 4 Date: Sat, 20 Sep 2008 16:25:00 +0900 From: David Cournapeau <[EMAIL PROTECTED]> Subject: Re: [Numpy-discussion] NEW GENERATED DLL ERROR FOUND WITHIN f2PY.py To: Discussion of Numerical Python Message-ID: <[EMAIL PROTECTED]> Content-Type: text/plain; charset=ISO-8859-1 Blubaugh, David A. wrote: > ImportError: DLL load with error code 193 > Likely to be a build error: how did you build the .pyd file ? cheers, David This e-mail transmission contains information that is confidential and may be privileged. It is intended only for the addressee(s) named above. If you receive this e-mail in error, please do not read, copy or disseminate it in any manner. If you are not the intended recipient, any disclosure, copying, distribution or use of the contents of this information is prohibited. Please reply to the message immediately by informing the sender that the message was misdirected. After replying, please erase it from your computer system. Your assistance in correcting this error is appreciated. ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] NEW GENERATED DLL ERROR FOUND WITHIN f2PY.py
Blubaugh, David A. wrote: > ImportError: DLL load with error code 193 > Likely to be a build error: how did you build the .pyd file ? cheers, David ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] Medians that ignore values
Charles R Harris wrote: > > > > I would be happy to implement nan sorts if someone can provide me with > a portable and easy way to detect nans for single, double, and long > double floats. And not have it fail if the architecture doesn't > support nans. I think getting all the needed nan detection and setup > in place is the first step for anything else. I guess you mean when isnan is available but broken, since we do not support platforms without IEEE 754 support ? I want to take care of this for my umathmodule cleaning (all the configuration checks/replacements are in place; if we want to be paranoid, we could check whether isnan works for all types if found on the system). cheers, David ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
