On 11/06/2016 02:28, Allan Haldane wrote:
So as an extra twist in this discussion, this means numpy actually
*does* return a float value for an integer power in a few cases:
>>> type( np.uint64(2) ** np.int8(3) )
numpy.float64
Shouldn't that example end up the discussion? I find
Sorry, The link I sent you is in
French. This is the English version.
EUROPEAN SYNCHROTRON
RADIATION
FACILITY
INSTALLATION
EUROPEENNE DE RAYONNEMENT SYNCHROTRON
The ESRF is a multinational
Hello,
On 10/04/2013 11:13, Anand Gadiyar wrote:
On Friday, April 5, 2013, Anand Gadiyar wrote:
Hi all,
I have a small program that uses numpy and scipy. I ran into a
couple of errors while trying to use cxfreeze to create a
windows executable.
I'm
Hi Sergio,
I faced a similar problem one year ago. I solved it writing a C function
receiving a pointer to the relevant linear algebra routine I needed.
Numpy does not offers the direct access to the underlying library
functions, but scipy does it:
from scipy.linalg.blas import fblas
dgemm =
On 06/03/2012 20:57, Sturla Molden wrote:
On 05.03.2012 14:26, V. Armando Solé wrote:
In 2009 there was a thread in this mailing list concerning the access to
BLAS from C extension modules.
If I have properly understood the thread:
http://mail.scipy.org/pipermail/numpy-discussion/2009
Hello,
In 2009 there was a thread in this mailing list concerning the access to
BLAS from C extension modules.
If I have properly understood the thread:
http://mail.scipy.org/pipermail/numpy-discussion/2009-November/046567.html
the answer by then was that those functions were not exposed
On 21/02/2012 19:26, Neal Becker wrote:
What is the correct way to find the installed location of arrayobject.h?
On fedora, I had been using:
(via scons):
import distutils.sysconfig
PYTHONINC = distutils.sysconfig.get_python_inc()
PYTHONLIB = distutils.sysconfig.get_python_lib(1)
From a pure user perspective, I would not expect the abs function to
return a negative number. Returning +127 plus a warning the first time
that happens seems to me a good compromise.
Armando
On 12/10/2011 09:46, David Cournapeau wrote:
On Tue, Oct 11, 2011 at 8:16 PM, Charles R Harris
On 12/10/2011 10:46, David Cournapeau wrote:
On Wed, Oct 12, 2011 at 9:18 AM, V. Armando Solé wrote:
From a pure user perspective, I would not expect the abs function to
return a negative number. Returning +127 plus a warning the first time
that happens seems to me a good compromise.
I
Have you tried to install Visual Studio 2008 Express edition (plus the
windows SDK to be able to compile 64 bit code)?
Armando
On 08/09/2011 13:56, Jim Vickroy wrote:
Hello All, I'm attempting to create a python wrapper, for a Fortran
subroutine, using f2py.
My system details are:
On 08/09/2011 16:16, Jim Vickroy wrote:
On 9/8/2011 6:09 AM, V. Armando Solé wrote:
Have you tried to install Visual Studio 2008 Express edition (plus the
windows SDK to be able to compile 64 bit code)?
Armando
Armando, Visual Studio 2008 Professional is installed on the computer
as well
Hi Ariel,
Ariel Rokem wrote:
Hi Armando,
Here's something in that direction:
http://nature.berkeley.edu/~chlewis/Sourcecode.html
http://nature.berkeley.edu/%7Echlewis/Sourcecode.html
Hope that helps - Ariel
It really helps. It looks more complete than the only thing I had found
Dear all,
Perhaps this is a bit off topic for the mailing list, but this is
probably the only mailing list that is common to users of all python
plotting packages.
I am trying to find a python implementation of ternary/triangular plots:
http://en.wikipedia.org/wiki/Ternary_plot
but I have
Ruben Salvador wrote:
Great! Thanks for all your answers!
I actually have the files created as .npy (appending a new array eact
time). I know it's weird, and it's not its intended use. But, for
whatsoever reasons, I came to use that. No turn back now.
Fortunately, I am able to read the
Hi Bruce,
In the context of the actual problem, I have a long series of
non-equidistant and irregularly spaced float numbers and I have to take
values between given limits with the constraint of keeping a minimal
separation. Option 2 just misses the first value of the input array if
it is
Hello,
I am trying to solve a simple problem that becomes complex if I try to
avoid looping.
Let's say I have a 1D array, x, where x[i] = x[i+1]
Given a certain value delta, I would like to get a subset of x, named y,
where (y[i+1] - y[i]) = delta
In a non-optimized and trivial way, the
Well, this seems to be quite close to what I need
y = numpy.cumsum((x[1:]-x[:-1])/delta).astype(numpy.int)
i1 = numpy.nonzero(y[1:] y[:-1])
y = numpy.take(x, i1)
Sorry for the time taken!
Best regards,
Armando
V. Armando Solé wrote:
Hello,
I am trying to solve a simple problem
That was my first thought, but that only warrants me to skip one point
in x but not more than one.
x= numpy.arange(10.)
delta = 3
print x[(x[1:] - x[:-1]) = delta]
[]
instead of the requested [0, 4, 8]
Armando
Francesc Alted wrote:
A Wednesday 09 June 2010 10:00:50 V. Armando Solé
Francesc Alted wrote:
Yeah, damn you! ;-)
I think you still have room for improvement ;-)
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Hi Josef,
I do not need regular spacing of the original data. I only need them to
be sorted and that I get it with a previous numpy call. Then the
algorithm using the cumsum does the trick without a explicit loop.
Armando
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NumPy-Discussion
greg whittier wrote:
When I run
import numpy as np
a = np.ones((400, 50), dtype=np.float32)
c = np.dot(a, a.T)
produces a MemoryError on the 32-bit Enthought Python Distribution
on 32-bit Vista. I understand this has to do with the 2GB limit with
32-bit python and the fact numpy
Sebastian Berg wrote:
Known issue, I think someone posted about it a while ago too. The numpy
min is array aware, and it expects an array. The second argument is the
axis, which in the case of a single number doesn't matter.
On Tue, 2009-11-17 at 07:07 +, Chris wrote:
I'm pretty sure
Hola,
I am not an expert, but I had a similar issue with a program of main
that I could trace to not having installed VS9 runtime libraries in the
target computer:
http://www.microsoft.com/downloads/details.aspx?FamilyID=9b2da534-3e03-4391-8a4d-074b9f2bc1bfdisplaylang=en
Perhaps you can give
Alice Invernizzi wrote:
Dear all,
I have an Hamletic doubt concerning the numpy array data type.
A general learned rule concerning the array usage in other high-level
programming languages is that array data-type are homogeneous datasets
of fixed dimension.
Therefore, is not clear to
V. Armando Solé wrote:
Sorry, there was a bug in the sent code. It should be:
import numpy
a=numpy.arange(100.)
a.shape = 10, 10
b = a * 1 # just to get a copy
b.shape = 5, 2, 5, 2
b = (b.sum(axis=3)).sum(axis=1)
In that way, on b I have a binned image
Hello,
I have found performance problems under windows when using python 2.6
In my case, they seem to be related to the dot product.
The following simple script:
import numpy
import time
a=numpy.arange(100.)
a.shape=1000,1000
t0=time.time()
b=numpy.dot(a.T,a)
print Elapsed time =
David Cournapeau wrote:
V. Armando Solé wrote:
Hello,
I have found performance problems under windows when using python 2.6
In my case, they seem to be related to the dot product.
The following simple script:
import numpy
import time
a=numpy.arange(100.)
a.shape=1000,1000
t0
Hello,
It seems to point towards a packaging problem.
In python 2.5, I can do:
import numpy.core._dotblas as dotblas
dotblas.__file__
and I get:
C:\\Python25\\lib\\site-packages\\numpy\\core\\_dotblas.pyd
In python 2.6:
import numpy.core._dotblas as dotblas
...
ImportError: No module named
Sturla Molden wrote:
V. Armando Solé skrev:
In python 2.6:
import numpy.core._dotblas as dotblas
...
ImportError: No module named _dotblas
import numpy.core._dotblas as dotblas
dotblas.__file__
'C:\\Python26\\lib\\site-packages\\numpy\\core\\_dotblas.pyd'
That's
David Cournapeau wrote:
V. Armando Solé wrote:
Hello,
It seems to point towards a packaging problem.
In python 2.5, I can do:
import numpy.core._dotblas as dotblas
dotblas.__file__
and I get:
C:\\Python25\\lib\\site-packages\\numpy\\core\\_dotblas.pyd
That's where
Hello,
Let's say we have two arrays A and B of shapes (1, 2000) and (1,
4000).
If I do C=numpy.concatenate((A, B), axis=1), I get a new array of
dimension (1, 6000) with duplication of memory.
I am looking for a way to have a non contiguous array C in which the
left (1, 2000)
Gael Varoquaux wrote:
You cannot in the numpy memory model. The numpy memory model defines an
array as something that has regular strides to jump from an element to
the next one.
I expected problems in the suggested case (concatenating columns) but I
did not expect the problem would be so
Citi, Luca wrote:
As Gaël pointed out you cannot create A, B and then C
as the concatenation of A and B without duplicating
the vectors.
But you can still re-link A to the left elements
and B to the right ones afterwards by using views into C.
Thanks for the hint. In my case the A
Dear Andrew,
I have succeeded on generating a win32 binary installer for python 2.6.
Running depends on the installed libraries it shows there are no
dependencies on other libraries than those of VS2008.
I have tried to send it to you directly but I am not sure if your mail
address accepts
Dan S wrote:
But as you can see, my C code doesn't perform any malloc() or
suchlike, so I'm stumped.
I'd be grateful for any further thoughts
Could it be your memory leak is in:
return PyFloat_FromDouble(3.1415927); // temporary
You are creating a python float object from something. What if
Francesc Alted wrote:
Arch option for windows binary
~~
Automatic arch detection can now be bypassed from the command line for
the superpack installed:
numpy-1.3.0-superpack-win32.exe /arch=nosse
will install a numpy which works on any x86, even if the
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