Hi Neal,
* Neal Becker <[EMAIL PROTECTED]> wrote:
> Anyone know where to find usable rpms from scipy on centos4.4?
I would like to see some more rpms too ... I am on
scientific linux 4.4 :-)
Greetings!
Fabian
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On 4/29/07, Benjamin Thyreau <[EMAIL PROTECTED]> wrote:
> Le Samedi 28 Avril 2007 20:03, Simon Berube a écrit:
> > (...)
> > On the other hand, if you are more interested in small
> > projects where speed of development is more important than long term
> > sustainability of the code Matlab is prob
On Fri, May 04, 2007 at 05:43:00PM -0500, Robert Kern wrote:
> Stefan van der Walt wrote:
> > On Fri, May 04, 2007 at 09:44:02AM -0700, Christopher Barker wrote:
> >> Matthieu Brucher wrote:
> >>> Example of the first line of my data file :
> >>> 0.0 inf 13.9040914426 14.7406669444 inf 4.4178324760
Robert Kern wrote:
> "1.#INF" and "1.#QNAN" might be
> accepted though since that's what ftoa() gives for those quantities.
not in Python:
float("1.#INF")
gives a value error. That may or may not reflect what *scanf does, but I
suspect it does.
-Chris
--
Christopher Barker, Ph.D.
Oceanograp
On Sat, May 05, 2007 at 12:34:30AM +0200, Stefan van der Walt wrote:
> On Fri, May 04, 2007 at 09:44:02AM -0700, Christopher Barker wrote:
> > Matthieu Brucher wrote:
> > > Example of the first line of my data file :
> > > 0.0 inf 13.9040914426 14.7406669444 inf 4.41783247603 inf inf
> > > 6.05071
Stefan van der Walt wrote:
> On Fri, May 04, 2007 at 09:44:02AM -0700, Christopher Barker wrote:
>> Matthieu Brucher wrote:
>>> Example of the first line of my data file :
>>> 0.0 inf 13.9040914426 14.7406669444 inf 4.41783247603 inf inf
>>> 6.05071515635 inf inf inf 15.6925185021 inf inf inf inf
Stefan van der Walt wrote:
> It would be interesting to see how Inf and NaN (vs. inf and nan) are
> interpreted under Windows.
Neither works. I suspect there is no literal that works with the lib the
python.org python is built with. (by the way, I'm testing with 2.4, but
I think that's the same
On Fri, May 04, 2007 at 09:44:02AM -0700, Christopher Barker wrote:
> Matthieu Brucher wrote:
> > Example of the first line of my data file :
> > 0.0 inf 13.9040914426 14.7406669444 inf 4.41783247603 inf inf
> > 6.05071515635 inf inf inf 15.6925185021 inf inf inf inf inf inf inf
>
> I'm pretty su
In short, I don't know that this is a bug. It is a missing feature, but
It may be hard to get someone to write the code to account for the
limited fscanf() in fromfile().
That's what I was thinking :(
Matthieu
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Matthieu Brucher wrote:
> Example of the first line of my data file :
> 0.0 inf 13.9040914426 14.7406669444 inf 4.41783247603 inf inf
> 6.05071515635 inf inf inf 15.6925185021 inf inf inf inf inf inf inf
I'm pretty sure fromfile() is using the standard C fscanf(). That means
that whether in unde
Please file a ticket at
http://projects.scipy.org/scipy/numpy/newticket
along with a short code snippet to reproduce the problem. That way we
won't forget about it.
Cheers
Stéfan
Thank you, I didn't know if it was known or not, ...
I'll post a ticket as soon as possible.
Matthieu
Hi Matthieu
On Fri, May 04, 2007 at 09:16:34AM +0200, Matthieu Brucher wrote:
> I'm trying to test my code on several platforms, Windows and Linux, and I'm
> using some data files that where saved with a tofile(sep=' ') under Linux.
> Those files can be loaded without a problem under Linux, but un
tofile is using pickling, right ? If you dump to a text file, there may
be a problem because of end of line ?
I'm not using the binary form, so it's not pickling.
Example of the first line of my data file :
0.0 inf 13.9040914426 14.7406669444 inf 4.41783247603 inf inf
6.05071515635inf inf inf
Matthieu Brucher wrote:
> Hi,
>
> I'm trying to test my code on several platforms, Windows and Linux,
> and I'm using some data files that where saved with a tofile(sep=' ')
> under Linux. Those files can be loaded without a problem under Linux,
> but under Windows with the latest numpy, these d
Hi,
I'm trying to test my code on several platforms, Windows and Linux, and I'm
using some data files that where saved with a tofile(sep=' ') under Linux.
Those files can be loaded without a problem under Linux, but under Windows
with the latest numpy, these data cannot be loaded, some numbers ar
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