Re: [Numpy-discussion] Integers to integer powers, let's make a decision

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 th

Re: [Numpy-discussion] [JOB ANNOUNCEMENT] Software Developer permanent position available at ESRF, France

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 res

Re: [Numpy-discussion] Import error while freezing with cxfreeze

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 run

Re: [Numpy-discussion] Windows, blas, atlas and dlls

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 = f

Re: [Numpy-discussion] (2012) Accessing LAPACK and BLAS from the numpy C API

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-discu

[Numpy-discussion] (2012) Accessing LAPACK and BLAS from the numpy C API

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 (only

Re: [Numpy-discussion] Where is arrayobject.h?

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) >

Re: [Numpy-discussion] abs for max negative integers - desired behavior?

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 happen

Re: [Numpy-discussion] abs for max negative integers - desired behavior?

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 > w

Re: [Numpy-discussion] f2py : NotImplementedError: Only MS compiler supported with gfortran on win64

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

Re: [Numpy-discussion] f2py : NotImplementedError: Only MS compiler supported with gfortran on win64

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: > >

Re: [Numpy-discussion] Ternary plots anywhere?

Hi Ariel, Ariel Rokem wrote: > Hi Armando, > > Here's something in that direction: > > http://nature.berkeley.edu/~chlewis/Sourcecode.html > > > Hope that helps - Ariel > It really helps. It looks more complete than the only thing I had foun

[Numpy-discussion] Ternary plots anywhere?

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 bee

Re: [Numpy-discussion] numpy.load raising IOError but EOFError expected

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

Re: [Numpy-discussion] Simple problem. Is it possible without a loop?

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 with

Re: [Numpy-discussion] MemoryError with dot(A, A.T) where A is 800MB on 32-bit Vista

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 fac

Re: [Numpy-discussion] Simple problem. Is it possible without a loop?

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 ___ NumPy-Discussion mailin

Re: [Numpy-discussion] Simple problem. Is it possible without a loop?

Francesc Alted wrote: > Yeah, damn you! ;-) > I think you still have room for improvement ;-) ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion

Re: [Numpy-discussion] Simple problem. Is it possible without a loop?

Wednesday 09 June 2010 10:00:50 V. Armando Solé escrigué: > >> 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) >>

Re: [Numpy-discussion] Simple problem. Is it possible without a loop?

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

[Numpy-discussion] Simple problem. Is it possible without a loop?

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 op

Re: [Numpy-discussion] min bug

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 pret

Re: [Numpy-discussion] Failed installation on Windows XP

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-074b9f2bc1bf&displaylang=en Perhaps you can give

Re: [Numpy-discussion] Resize Method for Numpy Array

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

Re: [Numpy-discussion] Resize Method for Numpy Array

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 cl

Re: [Numpy-discussion] Dot product performance on python 2.6 (windows)

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:

Re: [Numpy-discussion] Dot product performance on python 2.6 (windows)

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

Re: [Numpy-discussion] Dot product performance on python 2.6 (windows)

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 nam

Re: [Numpy-discussion] Dot product performance on python 2.6 (windows)

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: >> >>

[Numpy-discussion] Dot product performance on python 2.6 (windows)

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 = ",time.tim

Re: [Numpy-discussion] How to concatenate two arrayswithout duplicating memory?

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 th

Re: [Numpy-discussion] How to concatenate two arrays without duplicating memory?

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

[Numpy-discussion] How to concatenate two arrays without duplicating memory?

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

Re: [Numpy-discussion] ANN: HDF5 for Python (h5py) 1.2

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 att

Re: [Numpy-discussion] Solving a memory leak in a numpy extension; PyArray_ContiguousFromObject

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. Wh

Re: [Numpy-discussion] How to force a particular windows numpy installation?

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