Re: [Numpy-discussion] numpy/Windows shared arrays between processes?

Ray S wrote: > Is anyone sharing arrays between processes on Windows? > I tried compiling the posh sources (once, so far) with the new MS > toolkit and failed... > What other solutions are in use? > > Have a second process create an array view from an address would > suffice for this particular p

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] beginner question: rank-1 arrays

On 10/8/07, Gael Varoquaux <[EMAIL PROTECTED]> wrote: > Damn it. Shame on me. I meant c_[0:10,]. If you really need a shape of > (1,10) (I have never had such a need) you can use c_[0:10,].T. Thanks! - the trick with the , is just the sort of thing I was looking for - I knew there must be an eas

Re: [Numpy-discussion] beginner question: rank-1 arrays

On Mon, 8 Oct 2007, Robin apparently wrote: > However in my code (I am converting from MATLAB) it is > important to maintain 2d arrays, and keep the difference > between row and column vectors. How about using matrices? help(numpy.mat) hth, Alan Isaac

Re: [Numpy-discussion] beginner question: rank-1 arrays

On Mon, Oct 08, 2007 at 11:12:07PM +0100, Robin wrote: >On 10/8/07, Gael Varoquaux <[EMAIL PROTECTED]> wrote: > r_[0:10] and c_[0:10]. > Does that suit you ? The first one is indeed only 1D, but I don't see > the > problem with that. If you really want 2D you can use c_[0:

Re: [Numpy-discussion] beginner question: rank-1 arrays

On Mon, Oct 08, 2007 at 11:00:39PM +0100, Robin wrote: > Hi, > > I am trying to implement a project in scipy. I think I am getting somewhere > finally. > > However in my code (I am converting from MATLAB) it is important to maintain > 2d > arrays, and keep the difference between row and column v

Re: [Numpy-discussion] beginner question: rank-1 arrays

On 10/8/07, Gael Varoquaux <[EMAIL PROTECTED]> wrote: > > r_[0:10] and c_[0:10]. > > Does that suit you ? The first one is indeed only 1D, but I don't see the > problem with that. If you really want 2D you can use c_[0:10].T . Thanks, but not really :) Firstly - for me I don' see any difference

Re: [Numpy-discussion] beginner question: rank-1 arrays

On Mon, Oct 08, 2007 at 11:00:39PM +0100, Robin wrote: >Coming from matlab and being use to 0:10 for row or (0:10)' for column >this seems a bit messy. Is there a better way of constructing row/column >2d arrays from a slice type range? r_[0:10] and c_[0:10]. Does that suit you ? The

[Numpy-discussion] beginner question: rank-1 arrays

Hi, I am trying to implement a project in scipy. I think I am getting somewhere finally. However in my code (I am converting from MATLAB) it is important to maintain 2d arrays, and keep the difference between row and column vectors. After working through some initial problems I think I am getting

Re: [Numpy-discussion] Convert array type

On 10/8/07, Adam Mercer <[EMAIL PROTECTED]> wrote: > > 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 Yo

Re: [Numpy-discussion] Convert array type

Adam Mercer wrote: > 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='') Use sep=' '. As the docstring says, if sep is empt

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 ...,

[Numpy-discussion] numpy/Windows shared arrays between processes?

Is anyone sharing arrays between processes on Windows? I tried compiling the posh sources (once, so far) with the new MS toolkit and failed... What other solutions are in use? Have a second process create an array view from an address would suffice for this particular purpose. I could pass the a

Re: [Numpy-discussion] Convert array type

Gary Ruben wrote: > Try using astype. This works: > > values = array(wavearray.split()).astype(float) > Why not use numpy.fromstring? fromstring(string, dtype=float, count=-1, sep='') Return a new 1d array initialized from the raw binary data in string. If count is positive, the n

Re: [Numpy-discussion] dot product not behaving as expected

Robin wrote: > > On 10/8/07, *Robert Kern* <[EMAIL PROTECTED] > > wrote: > > Aha. Yes, that is the correct way to do it. However, it appears that > there is a > bug in how dot() is interpreting the non-contiguous array. In the > meantime, you > can ma

Re: [Numpy-discussion] dot product not behaving as expected

On 10/8/07, Robert Kern <[EMAIL PROTECTED]> wrote: > > Aha. Yes, that is the correct way to do it. However, it appears that there > is a > bug in how dot() is interpreting the non-contiguous array. In the > meantime, you > can make a contiguous array with array(y2). Thanks very much for the promp

Re: [Numpy-discussion] dot product not behaving as expected

Robin wrote: > It works for me with a recent SVN numpy on OS X. What version of > numpy are you > using? What platform are you on? Did you build with ATLAS or other > optimized > linear algebra library? > > > I am on Ubuntu 7.04, gcc 4.1.2 > > In [181]: numpy.__version__ > Ou

Re: [Numpy-discussion] dot product not behaving as expected

> > It works for me with a recent SVN numpy on OS X. What version of numpy are > you > using? What platform are you on? Did you build with ATLAS or other > optimized > linear algebra library? I am on Ubuntu 7.04, gcc 4.1.2 In [181]: numpy.__version__ Out[181]: '1.0.4.dev4155' Built with ATLAS 3

Re: [Numpy-discussion] dot product not behaving as expected

Robin wrote: > Hi, > > I have a problem using numpy.dot, see below: > > In [151]: m=5 > > In [152]: n=5 > > In [153]: x=(m*ones((1,5)))**arange(0,n) > > In [154]: y=test.order_length[::-1] > > In [155]: x > Out[155]: array([[ 1.,5., 25., 125., 625.]]) > > In [156]: y > Out[156]: >

[Numpy-discussion] dot product not behaving as expected

Hi, I have a problem using numpy.dot, see below: In [151]: m=5 In [152]: n=5 In [153]: x=(m*ones((1,5)))**arange(0,n) In [154]: y=test.order_length[::-1] In [155]: x Out[155]: array([[ 1.,5., 25., 125., 625.]]) In [156]: y Out[156]: array([[ 1024.], [ 1280.], [ 640.]

Re: [Numpy-discussion] Iterate over all 1-dim views

On Sun, Oct 07, 2007 at 06:52:11AM -0400, Neal Becker wrote: > Suppose I have a function F(), which is defined for 1-dim arguments. If the > user passes an n>1 dim array, I want to apply F to each 1-dim view. > > For example, for a 2-d array, apply F to each row and return a 2-d result. > > For

Re: [Numpy-discussion] Memory leak in vectorize ?

Hi Cryille On Mon, Oct 08, 2007 at 01:49:44AM +0200, Cyrille Rosset wrote: > Hello, > the following code seems to create a memory leak in Python. > (around 230 MB). > Any ideas what's wrong ? The relevant ticket is here: http://projects.scipy.org/scipy/numpy/ticket/570 Regards Stéfan __