Hello,
I switched from numarray to numpy and I have now some NaN
in my matrix. What that means ?
None a numeric ?
regards
Jean-Luc REGNIER
ACR Mimarlik Ltd. Sti
Savas Cad. 26/B Sirinyali
ANTALYA, TURKEY
Tel. Fax: 0090-(0).242.316.08.09
GSM: 0090-0.532.303.36.21
Hi,
Is there somewhere a equivalent to std::numerical_limits::epsilon, that
is, the greatest value such that 1. + epsilon is numerically equal to 1. ?
I saw something that could be related in oldnumeric, but nothing in numpy
itself.
Matthieu
--
French PhD student
Website :
Hi,
Several people reported problems with numpy 1.0.4 (See #627 and
#628, but also other problems mentionned on the ML, which I cannot
find). They were all solved, as far as I know, by a binary I produced
(simply using mingw + netlib BLAS/LAPACK, no ATLAS). Maybe it would be
good to use
On Dec 10, 2007 6:48 AM, David Cournapeau [EMAIL PROTECTED] wrote:
Hi,
Several people reported problems with numpy 1.0.4 (See #627 and
#628, but also other problems mentionned on the ML, which I cannot
find). They were all solved, as far as I know, by a binary I produced
(simply using
Hi again,
I noticed that clip() needs two parameters, but wouldn't it be nice and
straightforward to just pass min= or max= as keyword arg?
In [2]: a = arange(10)
In [3]: a.clip(min = 2, max = 5)
Out[3]: array([2, 2, 2, 3, 4, 5, 5, 5, 5, 5])
In [4]: a.clip(min = 2)
Hi!
Is there a way to query the minimum and maximum values of the numpy datatypes?
E.g. numpy.uint8.max == 255, numpy.uint8.min == 0 (these attributes exist, but
they are functions, obviously for technical reasons).
Ciao, / /
/--/
/ / ANS
many thanks for answering Matthieu
Actually my problem concerned the old command matrixmultiply vs dot.
I solved it now.
However I have a question regarding Tkinter.
I am doing a small 3D engine using Tkinter, Pmw and, numpy.
I am basically plotting the result from the matrix
2007/12/10, Alexander Michael [EMAIL PROTECTED]:
On Dec 10, 2007 6:48 AM, David Cournapeau [EMAIL PROTECTED]
wrote:
Hi,
Several people reported problems with numpy 1.0.4 (See #627 and
#628, but also other problems mentionned on the ML, which I cannot
find). They were all solved,
I had the same problem sooner today, someone told me the answer : use
numpy.info object ;)
Matthieu
2007/12/10, Hans Meine [EMAIL PROTECTED]:
Hi!
Is there a way to query the minimum and maximum values of the numpy
datatypes?
E.g. numpy.uint8.max == 255, numpy.uint8.min == 0 (these
Hans Meine wrote:
Hi!
Is there a way to query the minimum and maximum values of the numpy datatypes?
numpy.iinfo (notice the two i's) (integer information)
numpy.finfo (floating point information)
Example:
numpy.iinfo(numpy.uint8).max
numpy.iinfo(numpy.int16).min
You pass the datatype
On Dec 10, 2007, at 10:30 , Matthieu Brucher wrote:
2007/12/10, Alexander Michael [EMAIL PROTECTED]: On Dec 10, 2007
6:48 AM, David Cournapeau [EMAIL PROTECTED] wrote:
Hi,
Several people reported problems with numpy 1.0.4 (See #627 and
#628, but also other problems mentionned on
On Dec 10, 2007 7:21 AM, Hans Meine [EMAIL PROTECTED] wrote:
Hi again,
I noticed that clip() needs two parameters, but wouldn't it be nice and
straightforward to just pass min= or max= as keyword arg?
In [2]: a = arange(10)
In [3]: a.clip(min = 2, max = 5)
Out[3]: array([2, 2, 2, 3, 4,
On Dec 10, 2007 10:59 PM, Alexander Michael [EMAIL PROTECTED] wrote:
On Dec 10, 2007 6:48 AM, David Cournapeau [EMAIL PROTECTED] wrote:
Hi,
Several people reported problems with numpy 1.0.4 (See #627 and
#628, but also other problems mentionned on the ML, which I cannot
find). They
David M. Cooke wrote:
On Dec 10, 2007, at 10:30 , Matthieu Brucher wrote:
2007/12/10, Alexander Michael [EMAIL PROTECTED]: On Dec 10, 2007
6:48 AM, David Cournapeau [EMAIL PROTECTED] wrote:
Hi,
Several people reported problems with numpy 1.0.4 (See #627 and
#628, but also other
On Dec 10, 2007 4:41 PM, Robert Kern [EMAIL PROTECTED] wrote:
The current situation is untenable. I will gladly accept a slow BLAS for an
official binary that won't segfault anywhere. We can look for a faster BLAS
later.
Just to add a note to this: John Hunter and I just finished teaching a
An idea that occurred to me after reading Fernando's email. A function
could be called at numpy import time that specifically checks for the
instruction set on the CPU running and makes sure that is completely
covers the instruction set available through all the various calls,
including to BLAS.
Fernando Perez wrote:
On Dec 10, 2007 4:41 PM, Robert Kern [EMAIL PROTECTED] wrote:
The current situation is untenable. I will gladly accept a slow BLAS for an
official binary that won't segfault anywhere. We can look for a faster BLAS
later.
Just to add a note to this: John
According to the QEMU website, QEMU does not (yet) emulate SSE on x86
target, so a Windows installation on a QEMU virtual machine may be a
good way to build binaries free of these issues.
http://fabrice.bellard.free.fr/qemu/qemu-tech.html
-Andrew
Travis E. Oliphant wrote:
Fernando Perez wrote:
This may be a naive question, but just to be sure...
If troubles building without SSE2 support on an SSE2
processor are the problem, withould the problem be addressed
by purchasing an old PIII like
Andrew Straw wrote:
A function
could be called at numpy import time that specifically checks for the
instruction set on the CPU running
Even better would be a run-time selection of the best version. I've
often fantasized about an ATLAS that could do this.
I think the Intel MKL has this
On Dec 11, 2007 11:03 AM, Fernando Perez [EMAIL PROTECTED] wrote:
On Dec 10, 2007 4:41 PM, Robert Kern [EMAIL PROTECTED] wrote:
The current situation is untenable. I will gladly accept a slow BLAS for an
official binary that won't segfault anywhere. We can look for a faster BLAS
later.
On Dec 11, 2007 11:59 AM, Andrew Straw [EMAIL PROTECTED] wrote:
An idea that occurred to me after reading Fernando's email. A function
could be called at numpy import time that specifically checks for the
instruction set on the CPU running and makes sure that is completely
covers the
On Dec 11, 2007 12:46 PM, Andrew Straw [EMAIL PROTECTED] wrote:
According to the QEMU website, QEMU does not (yet) emulate SSE on x86
target, so a Windows installation on a QEMU virtual machine may be a
good way to build binaries free of these issues.
On Dec 10, 2007 11:04 PM, David Cournapeau [EMAIL PROTECTED] wrote:
On Dec 11, 2007 12:46 PM, Andrew Straw [EMAIL PROTECTED] wrote:
According to the QEMU website, QEMU does not (yet) emulate SSE on x86
target, so a Windows installation on a QEMU virtual machine may be a
good way to build
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