Re: [Numpy-discussion] numpy-1.4.0 no longer available for download?

Ahhh I see this is due to the ABI change, sorry for the noise. Cheers Adam On Mon, Feb 15, 2010 at 21:00, Adam Mercer wrote: > Hi > > According to the NumPy download page > <http://sourceforge.net/projects/numpy/files/> the latest available > version is 1.3.0, what happene

[Numpy-discussion] numpy-1.4.0 no longer available for download?

Hi According to the NumPy download page the latest available version is 1.3.0, what happened to 1.4.0? Apologies if I've missed some announcement. Cheers Adam ___ NumPy-Discussion mailing list NumPy-Discus

Re: [Numpy-discussion] F2PY error with G95 on Mac OS 10.5

On Wed, Jun 10, 2009 at 15:19, Samir Unni wrote: > That's odd. You're running Mac OS 10.5.7? Did you install NumPy > manually or via Fink? Yep Intel 10.5.7, installed from MacPorts. Cheers Adam ___ Numpy-discussion mailing list Numpy-discussion@scipy.

Re: [Numpy-discussion] F2PY error with G95 on Mac OS 10.5

On Wed, Jun 10, 2009 at 15:04, Samir Unni wrote: > Are you sure? When I run "f2py -c --help-fcompiler", I get: > > List of available Fortran compilers: >  --fcompiler=g95  G95 Fortran Compiler (0.91) > > G95 is the only compiler listed as available. If it can't be used, > then what can? I would ac

Re: [Numpy-discussion] F2PY error with G95 on Mac OS 10.5

On Wed, Jun 10, 2009 at 12:44, Samir Unni wrote: > I'm trying to use F2PY on Mac OS 10.5 with G95, but I'm getting the > error "g95: unrecognized option '-shared'". I tried modifying the > NumPy code to use the correct "-dynamic" flag, rather than the > "-shared" flag. While that does allow for F2

Re: [Numpy-discussion] scipy 0.7.1rc2 released

On Fri, Jun 5, 2009 at 06:09, David Cournapeau wrote: > Please test it ! I am particularly interested in results for scipy > binaries on mac os x (do they work on ppc). Test suite passes on Intel Mac OS X (10.5.7) built from source: OK (KNOWNFAIL=6, SKIP=21) Cheers Adam __

Re: [Numpy-discussion] Python2.4 support

On Sun, Dec 7, 2008 at 23:42, David Cournapeau <[EMAIL PROTECTED]> wrote: > I am strongly against dropping 2.4 support anytime soon. I haven't seen > a strong rationale for using >= 2.5 features in numpy, supporting 2.4 is > not so hard, and 2.4 is still the default python version on many OS (mac

Re: [Numpy-discussion] Specifying a fortran compiler on numpy build.

On Fri, Jun 20, 2008 at 4:38 PM, Robert Kern <[EMAIL PROTECTED]> wrote: > No. It just affects the Fortran compiler (if any) used to build numpy. > The only place this might affect you is if you use a LAPACK or BLAS > that needs to be linked with a Fortran compiler. Generally, you don't > have to s

[Numpy-discussion] Specifying a fortran compiler on numpy build.

Hi If I specify a fortran compiler when building numpy, does that have any effect on what is installed? In other words, must I build numpy against a fortran compiler in order to successfully build and use extension written in fortran - such as scipy? Cheers Adam _

Re: [Numpy-discussion] planet.scipy.org

On Dec 31, 2007 10:43 PM, Jarrod Millman <[EMAIL PROTECTED]> wrote: > Hey, > > I just wanted to announce that we now have a NumPy/SciPy blog > aggregator thanks to Gaël Varoquaux: http://planet.scipy.org/ When I try to load http://planet.scipy.org I get an error saying that the page doesn't exist

Re: [Numpy-discussion] appending extra items to arrays

On 11/10/2007, Mark Janikas <[EMAIL PROTECTED]> wrote: > If you do not know the size of your array before you finalize it, then > you should use lists whenever you can. I just cooked up a short > example: > # Result # > Total Time with array: 2.12951189331 > Total Time with list: 0.0469

Re: [Numpy-discussion] appending extra items to arrays

On 11/10/2007, Robert Kern <[EMAIL PROTECTED]> wrote: > Appending to a list then converting the list to an array is the most > straightforward way to do it. If the performance of this isn't a problem, I > recommend leaving it alone. Thanks, I'll leave it as is - I was just wondering if there was

[Numpy-discussion] appending extra items to arrays

Hi In some code I have, I need to append some extra data to a given array. At the moment I construct the data in a list, append the extra information I need and then convert the final list to an array. Is there a way that I can append extra information to an existing array thereby negating the n

Re: [Numpy-discussion] Convert array type

On 08/10/2007, Robert Kern <[EMAIL PROTECTED]> wrote: > Use sep=' '. As the docstring says, if sep is empty, then the string is > interpreted as binary data. If it is not empty, then the string is interpreted > as ASCII. Thanks, got it the wrong way round. That works now. Cheers Adam __

Re: [Numpy-discussion] Convert array type

On 08/10/2007, Ryan May <[EMAIL PROTECTED]> wrote: > Why not use numpy.fromstring? because that results in the array being filled with gibberish values = numpy.fromstring(wavearray, dtype=float, count=-1, sep='') print values gives: [ 1.39804329e-076 1.30354290e-076 1.18295070e-076 ...,

Re: [Numpy-discussion] Convert array type

On 07/10/2007, Gary Ruben <[EMAIL PROTECTED]> wrote: > Try using astype. This works: > > values = array(wavearray.split()).astype(float) Thanks Gary, that does the trick. Cheers Adam ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://

[Numpy-discussion] Convert array type

Hi I am fairly new to using numpy and am running into a problem regarding the type of an array. The array in question is created using the following code: values = array(wavearray.split()) where wavearray is a string containing a series of floats separated by white space, it appears that the in