Re: [Numpy-discussion] how to name "contagious" keyword in np.ma.convolve

> On 16 Oct 2016, at 03:21, Allan Haldane wrote: > >> On 10/14/2016 07:49 PM, Juan Nunez-Iglesias wrote: >> +1 for propagate_mask. That is the only proposal that immediately makes >> sense to me. "contagious" may be cute but I think approximately 0% of >> users would

Re: [Numpy-discussion] Advanced indexing: fancy vs. orthogonal

On 03 Apr 2015, at 00:04, Colin J. Williams c...@ncf.ca wrote: On 02-Apr-15 4:35 PM, Eric Firing wrote: On 2015/04/02 10:22 AM, josef.p...@gmail.com wrote: Swapping the axis when slices are mixed with fancy indexing was a design mistake, IMO. But not fancy indexing itself. I'm not

Re: [Numpy-discussion] 3D array and the right hand rule

On 17 Mar 2015, at 09:11, Dieter Van Eessen dieter.van.ees...@gmail.com wrote: Hello, Sorry to disturb again, but the topic still bugs me somehow... I'll try to rephrase the question: - What's the influence of the type of N-array representation with respect to TENSOR-calculus? -

Re: [Numpy-discussion] Error message

On 14.03.2015, at 10:57, Danny Kramer danny...@netvision.net.il wrote: Hi, I am getting the following error message: C:\Python27\lib\site-packages\numpy\lib\npyio.py:819: UserWarning: loadtxt: Empty input file: [] warnings.warn('loadtxt: Empty input file: %s' % fname) main loop

Re: [Numpy-discussion] how to do scoring of random point to avoid overlapping in python

On 18.10.2013 12:33, Pooja Gupta wrote: I have generated random point around a object and then evaluate each random point on certain criteria. But problem is that every time I am getting new point. How i can resolve this problem so that my result should be uniform. Is any way to evaluate the

[Numpy-discussion] Question regarding documentation of structured arrays

.__version__ Out[605]: '1.6.1' -- Hanno Klemm kl...@phys.ethz.ch ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion

Re: [Numpy-discussion] Question regarding documentation of structured arrays

Hi Stefan, I would be happy to file a pull request against the docs if you (or somebody) could point me to a document on how and where to do that. Hanno On 24.07.2013 12:31, Stéfan van der Walt wrote: Hi Hanno On Wed, Jul 24, 2013 at 11:46 AM, Hanno Klemm kl...@phys.ethz.ch wrote: I

Re: [Numpy-discussion] Unable to building numpy with openblas using bento or distutils

Skipper, this looks like a problem that I had in the bad old days with ATLAS, as well. Try compiling openblas with the -fPIC flag that used to help. Best of luck, Hanno hanno.kl...@me.com Sent from my mobile device, please excuse my brevity. On 23.03.2013, at 19:19, Skipper Seabold

Re: [Numpy-discussion] return index of maximum value in an array easily?

] http://stackoverflow.com/questions/4150542/determine-index-of-highest-value-in-pythons-numpy ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion -- Hanno Klemm kl...@phys.ethz.ch

Re: [Numpy-discussion] Meta: help, devel and stackoverflow

Am 28.06.2012 um 23:07 schrieb Matthew Brett: Hi, On Thu, Jun 28, 2012 at 1:42 PM, srean srean.l...@gmail.com wrote: In case this changes your mind (or assuages fears) just wanted to point out that many open source projects do this. It is not about claiming that one is more important than

Re: [Numpy-discussion] solving linear equations

Hi, have a look at scipy optimize. For a solution with only positive values you could consider using scipy.optimize.nnls, if you want more general (linear) constraints, have a look at the linear programming functions. Another possibility would be looking at openOpt, which has probably more

Re: [Numpy-discussion] Data cube optimization for combination

Hi, this should work: import numpy as np ndim = 20 cube = np.random.rand(32,ndim, ndim) result = np.zeros([ndim, ndim], np.float32) def combine(cube, result): for ii in range(ndim): for jj in range(ndim): result[ii, jj] = np.sqrt((cube[:,ii, jj])).sum()

Re: [Numpy-discussion] einsum

Mark, interesting idea. Given the fact that in 2-d euclidean metric, the Einstein summation conventions are only a way to write out conventional matrix multiplications, do you consider at some point to include a non-euclidean metric in this thing? (As you have in special relativity, for

Re: [Numpy-discussion] einsum

Am 27.01.2011 um 00:29 schrieb Mark Wiebe: On Wed, Jan 26, 2011 at 3:18 PM, Hanno Klemm kl...@phys.ethz.ch wrote: Mark, interesting idea. Given the fact that in 2-d euclidean metric, the Einstein summation conventions are only a way to write out conventional matrix multiplications, do you

[Numpy-discussion] Slicing and structured arrays question

the mean and median for each of the properties 'props'. Is there a way to do this similarly to a conventional array with a[:,2:].mean(axis=0) or do I have to use a loop over the names of the properties? Thanks in advance, Hanno -- Hanno Klemm kl...@phys.ethz.ch

Re: [Numpy-discussion] Efficient removal of duplicates

___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion -- Hanno Klemm kl...@phys.ethz.ch ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org

Re: [Numpy-discussion] Problem with correlate?

=ISO-8859-1 Content-Transfer-Encoding: quoted-printable Content-Disposition: inline 2008/8/20 Hanno Klemm [EMAIL PROTECTED]: In [29]: x =3D array([0.,0.,1, 0, 0]) In [35]: y1 =3D array([1,0,0,0,0]) In [36]: correlate(x,y1,mode=3D'full') Out[36]: array([ 0., 0., 0., 0., 0., 0., 1

Re: [Numpy-discussion] Problem with correlate?

([ 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0.]) N.__version__ '1.1.1' Best regards, Hanno Stéfan van der Walt [EMAIL PROTECTED] said: Hi Hanno 2008/8/22 Hanno Klemm [EMAIL PROTECTED]: yes, indeed, that's what I thought. This result is odd. Has correlate been changed since

[Numpy-discussion] Problem with correlate?

, Hanno -- Hanno Klemm [EMAIL PROTECTED] ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion

[Numpy-discussion] PyTables, array and recarray

, 3.3999, 4.5996), (4, 4.5, 4.5)], dtype=[('id', 'i4'), ('x', 'f8'), ('y', 'f8')]) type(b) type 'numpy.ndarray' type(a) class 'numpy.core.records.recarray' Best regards, Hanno -- Hanno Klemm [EMAIL PROTECTED] ___ Numpy

Re: [Numpy-discussion] NumPy/SciPy LAPACK version

; (and yes, it does deserve a bug report if one doesn#39;t already exist)brbr-Kevinbrbr --=_Part_59405_32758974.1184593945795-- -- Hanno Klemm [EMAIL PROTECTED] ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http

Re: [Numpy-discussion] effectively computing variograms with numpy

Didrik, thanks, I'll definitely will have a look at this. Hanno Didrik Pinte [EMAIL PROTECTED] said: --=-aUNlfGW7wc8MzGzdSDGo Content-Type: text/plain Content-Transfer-Encoding: quoted-printable On Mon, 2007-06-25 at 23:09 +0200, Hanno Klemm wrote: I will try and dig a bit more

Re: [Numpy-discussion] effectively computing variograms with numpy

:] - data[...,:-j])**2 result[i] += d2.sum() denominator += N.prod(d2.shape) result[i] /= denominator return result On 6/22/07, Hanno Klemm [EMAIL PROTECTED] wrote: Tim, this is the best I could come up with until now: import

Re: [Numpy-discussion] effectively computing variograms with numpy

I will try and dig a bit more in the literature, maybe I find something. Hanno On Jun 25, 2007, at 4:59 PM, Timothy Hochberg wrote: On 6/25/07, Hanno Klemm [EMAIL PROTECTED] wrote: Tim, Thank you very much, the code does what's it expected to do. Unfortunately the thing is still

[Numpy-discussion] effectively computing variograms with numpy

Hi, I have an array which represents regularly spaced spatial data. I now would like to compute the (semi-)variogram, i.e. gamma(h) = 1/N(h) \sum_{i,j\in N(h)} (z_i - z_j)**2, where h is the (approximate) spatial difference between the measurements z_i, and z_j, and N(h) is the number of

Re: [Numpy-discussion] numpy and freeze.py

think this is an issue that has arisen due to the changes unless you have checked numpy out recently and compiled it yourself. MJ -Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Hanno Klemm Sent: Tuesday, May 22, 2007 9:04 AM To: numpy-discussion

[Numpy-discussion] numpy and freeze.py

/python2.5/site-packages/numpy/core/__init__.py, line 5, in module import multiarray ImportError: No module named multiarray Am I doing something wrong? Or does freeze.py not work with numpy? Hanno -- Hanno Klemm [EMAIL PROTECTED] ___ Numpy

[Numpy-discussion] FFT definition

something here? Hanno -- Hanno Klemm [EMAIL PROTECTED] ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion