[Numpy-discussion] Subclassing ndarray with concatenate

I am trying to create a subclass of ndarray that has additional attributes. These attributes are maintained with most numpy functions if __array_finalize__ is used. The main exception I have found is concatenate (and hstack/vstack, which just wrap concatenate). In this case, __array_finalize__

Re: [Numpy-discussion] Subclassing ndarray with concatenate

On Tue, Jan 22, 2013 at 1:44 PM, Sebastian Berg sebast...@sipsolutions.netwrote: Hey, On Tue, 2013-01-22 at 10:21 +0100, Todd wrote: The main exception I have found is concatenate (and hstack/vstack, which just wrap concatenate). In this case, __array_finalize__ is passed an array

Re: [Numpy-discussion] Subclassing ndarray with concatenate

On Wed, Jan 30, 2013 at 11:20 AM, Sebastian Berg sebast...@sipsolutions.net wrote: In my particular case at least, there are clear ways to handle corner cases (like being passed a class that lacks these attributes), so in principle there

Re: [Numpy-discussion] Seeking help and support for next-gen math modeling tools using Python

On Feb 20, 2013 12:47 AM, Rob Clewley rob.clew...@gmail.com wrote: Hi all, and apologies for a little cross-posting: First, thanks to those of you who have used and contributed to the PyDSTool math modeling environment [1]. This project has greatly benefitted from the underlying platform of

Re: [Numpy-discussion] another discussion on numpy correlate (and convolution)

We don't actually want remove sensitive data, but this tutorial should still allow us to remove a file totally and completely from git history. It doesn't look that hard: https://help.github.com/articles/remove-sensitive-data It will require everyone to rebase, so if you want to do this it may

Re: [Numpy-discussion] What should np.ndarray.__contains__ do

The problem with b is that it breaks down if the two status have the same dimensionality. I think a better approach would be for a in b With a having n dimensions, it returns true if there is any subarray of b that matches a along the last n dimensions. So if a has 3 dimensions and b has 6, a

Re: [Numpy-discussion] Adding .abs() method to the array object

On Tue, Feb 26, 2013 at 10:58 AM, Sebastian Berg sebast...@sipsolutions.net wrote: On Mon, 2013-02-25 at 22:04 -0500, josef.p...@gmail.com wrote: On Mon, Feb 25, 2013 at 9:58 PM, josef.p...@gmail.com wrote: On Mon, Feb 25, 2013 at 9:20 PM, Sebastian Berg sebast...@sipsolutions.net

[Numpy-discussion] GSOC 2013

Is numpy planning to participate in GSOC this year, either on their own or as a part of another group? If so, should we start trying to get some project suggestions together? ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org

Re: [Numpy-discussion] GSOC 2013

On Mon, Mar 4, 2013 at 9:41 PM, Ralf Gommers ralf.gomm...@gmail.com wrote: On Tue, Feb 26, 2013 at 11:17 AM, Todd toddr...@gmail.com wrote: Is numpy planning to participate in GSOC this year, either on their own or as a part of another group? If we participate, it should be under

Re: [Numpy-discussion] GSOC 2013

On Mar 5, 2013 7:53 PM, Nathaniel Smith n...@pobox.com wrote: On 4 Mar 2013 23:21, Jaime Fernández del Río jaime.f...@gmail.com wrote: On Mon, Mar 4, 2013 at 2:29 PM, Todd toddr...@gmail.com wrote: 5. Currently dtypes are limited to a set of fixed types, or combinations of these types

Re: [Numpy-discussion] unclear output format for numpy.argmax()

On Tue, Mar 12, 2013 at 8:20 AM, soumen ganguly soumendotgang...@gmail.comwrote: Hello, There are some doubts that i have regarding the argmax() method of numpy.As described in reference doc's of numpy,argmax(axis=None,out=None) returns the indices of the maximum value along the given

Re: [Numpy-discussion] Execution time difference between 2.7 and 3.2 using numpy

On Sat, Mar 23, 2013 at 12:21 PM, Ralf Gommers ralf.gomm...@gmail.comwrote: That's not the case. The official binaries for NumPy and SciPy are on SourceForge. The Windows installers on PyPI are there to make easy_install work, but they're likely slower than the SF installers (no SSE2/SSE3

[Numpy-discussion] Polar/spherical coordinates handling

From what I can see, numpy doesn't have any functions for handling polar or spherical coordinate to/from cartesian coordinate conversion. I think such methods would be pretty useful. I am looking now and it doesn't look that hard to create functions to convert between n-dimensional cartesian and

Re: [Numpy-discussion] Polar/spherical coordinates handling

On Fri, Mar 29, 2013 at 4:33 PM, Angus McMorland amcm...@gmail.com wrote: On 29 March 2013 11:15, Todd toddr...@gmail.com wrote: From what I can see, numpy doesn't have any functions for handling polar or spherical coordinate to/from cartesian coordinate conversion. I think such methods

Re: [Numpy-discussion] [SciPy-Dev] NumPy/SciPy participation in GSoC 2013

On Mon, Apr 1, 2013 at 1:58 PM, Ralf Gommers ralf.gomm...@gmail.com wrote: On Tue, Mar 26, 2013 at 12:27 AM, Ralf Gommers ralf.gomm...@gmail.comwrote: On Thu, Mar 21, 2013 at 10:20 PM, Ralf Gommers ralf.gomm...@gmail.comwrote: Hi all, It is the time of the year for Google Summer of

Re: [Numpy-discussion] [SciPy-Dev] NumPy/SciPy participation in GSoC 2013

On Tue, Apr 2, 2013 at 8:12 PM, Ralf Gommers ralf.gomm...@gmail.com wrote: On Mon, Apr 1, 2013 at 2:27 PM, Todd toddr...@gmail.com wrote: There were a number of other ideas in this thread: http://mail.scipy.org/pipermail/numpy-discussion/2013-March/065699.html Thanks Todd. Your idea 5

Re: [Numpy-discussion] Finding the same value in List

x,i=numpy.unique(y, return_inverse=True) f=[numpy.where(i==ind) for ind in range(len(x))] x will give you the list of unique values, and f will give you the indices of each corresponding value in x. So f[0] is the indices of x[0] in y. To explain, unique in this form gives two outputs, a

Re: [Numpy-discussion] Finding the same value in List

On Wed, Apr 17, 2013 at 10:46 AM, Todd toddr...@gmail.com wrote: x,i=numpy.unique(y, return_inverse=True) f=[numpy.where(i==ind) for ind in range(len(x))] A better version would be (np.where returns tuples, but we don't want tuples): x,i=numpy.unique(y, return_inverse=True) f=[numpy.where

Re: [Numpy-discussion] Finding the same value in List

The data type: x in ndarray and x[ i ]-- int64 type(f) -- ' list ' type( f[ 0 ] ) -- ' tuple ' type( f[ 0][0] ) -- 'ndarray' type( f[ 0 ][ 0 ][ 0] ) -- 'int64' How do you think to avoid diversity if data type in this example? I think it is

Re: [Numpy-discussion] nanmean(), nanstd() and other missing functions for 1.8

On Wed, May 1, 2013 at 3:36 AM, Benjamin Root ben.r...@ou.edu wrote: Are there any other functions that others feel are missing from numpy and would like to see for v1.8? Let's discuss them here. As I mentioned before, I think numpy should have some equations for dealing with n-dimensional

Re: [Numpy-discussion] nanmean(), nanstd() and other missing functions for 1.8

On Wed, May 1, 2013 at 5:22 PM, Daπid davidmen...@gmail.com wrote: On 1 May 2013 17:13, Todd toddr...@gmail.com wrote: Speaking of which, I think there should be a function to construct a complex array out of two identically-shaped floating-point arrays, as well as perhaps an np.i class

[Numpy-discussion] PEP 208 and upstreaming numpy

I see that the plan to merge old Numeric into the python standard library, PEP 208, is listed as withdrawn, although no reasons are given as far as I could see. Considering how mature Numpy has become, and how common it is as a dependency for python packages, I was wondering if there were still

Re: [Numpy-discussion] PEP 208 and upstreaming numpy

But wouldn't there be a benefit from integrating ndarrays directly into the grammar like lists, tuples, and dictionaries? On Jun 18, 2013 11:41 AM, Robert Kern robert.k...@gmail.com wrote: On Tue, Jun 18, 2013 at 10:33 AM, Todd toddr...@gmail.com wrote: I see that the plan to merge old

Re: [Numpy-discussion] deprecate numpy.matrix

On Feb 11, 2014 3:23 AM, Alan G Isaac alan.is...@gmail.com wrote: On 2/10/2014 7:39 PM, Pauli Virtanen wrote: The issue here is semantics for basic linear algebra operations, such as matrix multiplication, that work for different matrix objects, including ndarrays. I'll see if I can

Re: [Numpy-discussion] Inheriting from ndarray Was: deprecate numpy.matrix

On Feb 11, 2014 5:01 AM, Alexander Belopolsky ndar...@mac.com wrote: On Mon, Feb 10, 2014 at 11:31 AM, Nathaniel Smith n...@pobox.com wrote: And in the long run, I think the goal is to move people away from inheriting from np.ndarray. This is music to my ears, There are a lot of units

Re: [Numpy-discussion] Proposal to make power return float, and other such things.

On Feb 18, 2014 11:55 AM, Robert Kern robert.k...@gmail.com wrote: On Tue, Feb 18, 2014 at 9:51 AM, Sturla Molden sturla.mol...@gmail.com wrote: Charles R Harris charlesr.har...@gmail.com wrote: This is apropos issue #899 a href=https://github.com/numpy/numpy/issues/899;

Re: [Numpy-discussion] How security holes happen

On Mar 3, 2014 3:16 AM, Charles R Harris charlesr.har...@gmail.com wrote: This is from OS X 9 if ((err = SSLHashSHA1.update(hashCtx, serverRandom)) != 0) goto fail; if ((err = SSLHashSHA1.update(hashCtx, signedParams)) != 0) goto fail; goto fail; if

Re: [Numpy-discussion] big-bangs versus incremental improvements (was: Re: SciPy 2014 BoF NumPy Participation)

On 5 Jun 2014 02:57, Nathaniel Smith n...@pobox.com wrote: On Wed, Jun 4, 2014 at 7:18 AM, Travis Oliphant tra...@continuum.io wrote: And numpy will be much harder to replace than numeric -- numeric wasn't the most-imported package in the pythonverse ;-). If numpy is really such a core part

Re: [Numpy-discussion] big-bangs versus incremental improvements (was: Re: SciPy 2014 BoF NumPy Participation)

On 5 Jun 2014 14:28, David Cournapeau courn...@gmail.com wrote: On Thu, Jun 5, 2014 at 9:44 AM, Todd toddr...@gmail.com wrote: On 5 Jun 2014 02:57, Nathaniel Smith n...@pobox.com wrote: On Wed, Jun 4, 2014 at 7:18 AM, Travis Oliphant tra...@continuum.io wrote: And numpy will be much

Re: [Numpy-discussion] Fwd: [Python-ideas] PEP pre-draft: Support for indexing with keyword arguments

On Jul 2, 2014 10:49 AM, Nathaniel Smith n...@pobox.com wrote: I admit I can't actually think of any features this would enable for us though... Could it be useful for structured arrays? ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org

Re: [Numpy-discussion] String type again.

On Jul 16, 2014 11:43 AM, Chris Barker chris.bar...@noaa.gov wrote: So numpy should have dtypes to match these. We're a bit stuck, however, because 'S' mapped to the py2 string type, which no longer exists in py3. Sorry not running py3 to see what 'S' does now, but I know it's bit broken, and may

Re: [Numpy-discussion] Custom dtypes without C -- or, a standard ndarray-like type

On Mon, Sep 22, 2014 at 5:31 AM, Nathaniel Smith n...@pobox.com wrote: On Sun, Sep 21, 2014 at 7:50 PM, Stephan Hoyer sho...@gmail.com wrote: My feeling though is that in most of the cases you mention, implementing a new array-like type is huge overkill. ndarray's interface is vast and

Re: [Numpy-discussion] #2522 numpy.diff fails on unsigned integers

On Tue, Nov 4, 2014 at 2:50 PM, Sebastian Wagner se...@sebix.at wrote: Hello, I want to bring up Issue #2522 'numpy.diff fails on unsigned integers (Trac #1929)' [1], as it was resonsible for an error in one of our programs. Short explanation of the bug: np.diff performs a subtraction on

Re: [Numpy-discussion] #2522 numpy.diff fails on unsigned integers

On Thu, Nov 13, 2014 at 8:10 AM, Sebastian se...@sebix.at wrote: On 2014-11-04 19:44, Charles R Harris wrote: On Tue, Nov 4, 2014 at 11:19 AM, Sebastian se...@sebix.at wrote: On 2014-11-04 15:06, Todd wrote: On Tue, Nov 4, 2014 at 2:50 PM, Sebastian Wagner se...@sebix.at mailto:se

Re: [Numpy-discussion] Setting up a newcomers label on the issue tracker ?

KDE calls themjunior jobs. On Nov 27, 2014 2:29 AM, Benjamin Root ben.r...@ou.edu wrote: FWIW, matplotlib calls it low hanging fruit. I think it is a better name than newcomers. On Wed, Nov 26, 2014 at 1:19 PM, Aldcroft, Thomas aldcr...@head.cfa.harvard.edu wrote: On Wed, Nov 26, 2014

Re: [Numpy-discussion] FFTS for numpy's FFTs (was: Re: Choosing between NumPy and SciPy functions)

On Tue, Oct 28, 2014 at 5:28 AM, Nathaniel Smith n...@pobox.com wrote: On 28 Oct 2014 04:07, Matthew Brett matthew.br...@gmail.com wrote: Hi, On Mon, Oct 27, 2014 at 8:07 PM, Sturla Molden sturla.mol...@gmail.com wrote: Sturla Molden sturla.mol...@gmail.com wrote: If we really

Re: [Numpy-discussion] FFTS for numpy's FFTs (was: Re: Choosing between NumPy and SciPy functions)

On Thu, Dec 11, 2014 at 4:55 PM, Robert Kern robert.k...@gmail.com wrote: On Thu, Dec 11, 2014 at 3:53 PM, Eric Moore e...@redtetrahedron.org wrote: On Thu, Dec 11, 2014 at 10:41 AM, Todd toddr...@gmail.com wrote: I recently became aware of another C-library for doing FFTs (and other

Re: [Numpy-discussion] Silent Broadcasting considered harmful

On Feb 10, 2015 1:03 AM, cjw c...@ncf.ca wrote: On 09-Feb-15 2:34 AM, Stefan Reiterer wrote: Ok that are indeed some good reasons to keep the status quo, especially since performance is crucial for numpy. It's a dillemma: Using the matrix class for linear algebra would be the correct way

Re: [Numpy-discussion] GSoC'15 - mentors ideas

I am not able to mentor, but I have some ideas about easier projects. These may be too easy, too hard, or not even desirable so take them or leave them as you please. scipy: Implement a set of circular statistics functions comparable to those in R or MATLAB circular statistics toolbox. Either

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

On Apr 4, 2015 10:54 AM, Nathaniel Smith n...@pobox.com wrote: On Sat, Apr 4, 2015 at 12:17 AM, Ralf Gommers ralf.gomm...@gmail.com wrote: On Sat, Apr 4, 2015 at 1:54 AM, Nathaniel Smith n...@pobox.com wrote: But, the real problem here is that we have two different array duck types

Re: [Numpy-discussion] Verify your sourceforge windows installer downloads

On May 28, 2015 7:06 PM, David Cournapeau courn...@gmail.com wrote: On Fri, May 29, 2015 at 2:00 AM, Andrew Collette andrew.colle...@gmail.com wrote: In any case I've always been surprised that NumPy is distributed through SourceForge, which has been sketchy for years now. Could it simply be

Re: [Numpy-discussion] Verify your sourceforge windows installer downloads

constraints. Also, I think the new cheese shop/warehouse server they are using scales better, so size is not nearly the same concern as before. Ben Root On May 29, 2015 1:43 AM, Todd toddr...@gmail.com wrote: On May 28, 2015 7:06 PM, David Cournapeau courn...@gmail.com wrote: On Fri, May 29, 2015

Re: [Numpy-discussion] Readings about governance and decision making for F/OSS projects

On Jul 4, 2015 1:47 AM, Nathaniel Smith n...@pobox.com wrote: If you have other links on this topic that you are think are interesting, please add them to the thread! The KDE e.v. - represents the KDE community in legal and financial matters. https://ev.kde.org/

Re: [Numpy-discussion] Question about unaligned access

On Jul 6, 2015 6:21 PM, Francesc Alted fal...@gmail.com wrote: 2015-07-06 18:04 GMT+02:00 Jaime Fernández del Río jaime.f...@gmail.com: On Mon, Jul 6, 2015 at 10:18 AM, Francesc Alted fal...@gmail.com wrote: Hi, I have stumbled into this: In [62]: sa = np.fromiter(((i,i) for i in

Re: [Numpy-discussion] Proposal: stop supporting 'setup.py install'; start requiring 'pip install .' instead

On Oct 29, 2015 00:29, "Sandro Tosi" wrote: > > please, pretty please, do not disable setup.py install or at least > keep providing a way for distribution (Debian in this case) to be able > to build/install numpy in a temporary location for packaging reasons. > pip is not the

Re: [Numpy-discussion] ndarray.T2 for 2D transpose

On Tue, Apr 5, 2016 at 11:14 PM, Nathaniel Smith <n...@pobox.com> wrote: > On Tue, Apr 5, 2016 at 7:11 PM, Todd <toddr...@gmail.com> wrote: > > When you try to transpose a 1D array, it does nothing. This is the > correct > > behavior, since it transposing a 1D

Re: [Numpy-discussion] ndarray.T2 for 2D transpose

I would make `arr.T2` the same as `np.atleast_2d(arr).T`. So a 1D array would act as a row vector, since that is already the convention for coercing 1D arrays to 2D. On Tue, Apr 5, 2016 at 10:49 PM, Juan Nunez-Iglesias <jni.s...@gmail.com> wrote: > Todd, > > Would you cons

Re: [Numpy-discussion] ndarray.T2 for 2D transpose

On Wed, Apr 6, 2016 at 11:44 AM, Chris Barker - NOAA Federal < chris.bar...@noaa.gov> wrote: > But the truth is that Numpy arrays are arrays, not matrices and vectors. > > The "right" way to do this is to properly extend and support the > matrix object, adding row and column vector objects, and

Re: [Numpy-discussion] ndarray.T2 for 2D transpose

On Wed, Apr 6, 2016 at 5:20 PM, Nathaniel Smith <n...@pobox.com> wrote: > On Wed, Apr 6, 2016 at 10:43 AM, Todd <toddr...@gmail.com> wrote: > > > > My intention was to make linear algebra operations easier in numpy. With > > the @ operator available, it is

Re: [Numpy-discussion] ndarray.T2 for 2D transpose

On Thu, Apr 7, 2016 at 3:39 AM, Irvin Probst <irvin.pro...@ensta-bretagne.fr > wrote: > On 06/04/2016 04:11, Todd wrote: > > When you try to transpose a 1D array, it does nothing. This is the > correct behavior, since it transposing a 1D array is meaningless. However, >

Re: [Numpy-discussion] ndarray.T2 for 2D transpose

On Thu, Apr 7, 2016 at 4:59 AM, Joseph Martinot-Lagarde < contreba...@gmail.com> wrote: > Alan Isaac gmail.com> writes: > > > But underlying the proposal is apparently the > > idea that there be an attribute equivalent to > > `atleast_2d`. Then call it `d2p`. > > You can now have `a.d2p.T`

Re: [Numpy-discussion] ndarray.T2 for 2D transpose

On Thu, Apr 7, 2016 at 11:35 AM, <josef.p...@gmail.com> wrote: > On Thu, Apr 7, 2016 at 11:13 AM, Todd <toddr...@gmail.com> wrote: > > On Wed, Apr 6, 2016 at 5:20 PM, Nathaniel Smith <n...@pobox.com> wrote: > >> > >> On Wed, Apr 6, 2016

[Numpy-discussion] ndarray.T2 for 2D transpose

When you try to transpose a 1D array, it does nothing. This is the correct behavior, since it transposing a 1D array is meaningless. However, this can often lead to unexpected errors since this is rarely what you want. You can convert the array to 2D, using `np.atleast_2d` or `arr[None]`, but

Re: [Numpy-discussion] Intel random number package

ulian Taylor < > jtaylor.deb...@googlemail.com> wrote: > >> On 10/27/2016 04:52 PM, Todd wrote: >> >>> On Thu, Oct 27, 2016 at 10:43 AM, Julian Taylor >>> <jtaylor.deb...@googlemail.com <mailto:jtaylor.deb...@googlemail.com>> >>> wrote:

Re: [Numpy-discussion] Intel random number package

mPy-Discussion [mailto:numpy-discussion-boun...@scipy.org] *On >> Behalf Of *Todd >> *Sent:* Wednesday, October 26, 2016 4:04 PM >> *To:* Discussion of Numerical Python <numpy-discussion@scipy.org> >> *Subject:* Re: [Numpy-discussion] Intel random number package >> >&

Re: [Numpy-discussion] Intel random number package

On Thu, Oct 27, 2016 at 10:43 AM, Julian Taylor < jtaylor.deb...@googlemail.com> wrote: > On 10/27/2016 04:30 PM, Todd wrote: > >> On Thu, Oct 27, 2016 at 4:25 AM, Ralf Gommers <ralf.gomm...@gmail.com >> <mailto:ralf.gomm...@gmail.com>> wrote: >> >>

Re: [Numpy-discussion] Intel random number package

On Thu, Oct 27, 2016 at 12:12 PM, Nathaniel Smith wrote: > Ever notice how Anaconda doesn't provide pyfftw? They can't legally ship > both MKL and pyfftw, and they picked MKL. Anaconda does ship GPL code [1]. They even ship GPL code that depends on numpy, such as cvxcanon and

Re: [Numpy-discussion] Intel random number package

On Wed, Oct 26, 2016 at 4:30 PM, Pavlyk, Oleksandr < oleksandr.pav...@intel.com> wrote: > > The module under review, similarly to randomstate package, provides > alternative basic pseudo-random number generators (BRNGs), like MT2203, > MCG31, MRG32K3A, Wichmann-Hill. The scope of support differ,

Re: [Numpy-discussion] Deprecating matrices.

On Mon, Jan 2, 2017 at 8:36 PM, Charles R Harris wrote: > Hi All, > > Just throwing this click bait out for discussion. Now that the `@` > operator is available and things seem to be moving towards Python 3, > especially in the classroom, we should consider the real

Re: [Numpy-discussion] Deprecating matrices.

On Jan 6, 2017 20:28, "Ralf Gommers" wrote: On Sat, Jan 7, 2017 at 2:21 PM, CJ Carey wrote: > > On Fri, Jan 6, 2017 at 6:19 PM, Ralf Gommers > wrote: > >> This sounds like a reasonable idea. Timeline could be

Re: [Numpy-discussion] Move scipy.org docs to Github?

On Mar 15, 2017 05:47, "Ralf Gommers" wrote: On Wed, Mar 15, 2017 at 3:21 PM, Matthew Brett wrote: > Hi, > > The scipy.org site is down at the moment, and has been for more than 36 > hours: > >

[Numpy-discussion] installing numpy in jython (in Netbeans)

this one looks like hours of digging through the code. Is there a simpler solution? Thanks in advance, Todd ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion

Re: [Numpy-discussion] installing numpy in jython (in Netbeans)

tools available. NB could be, but is not for python. Thanks again for helping to shorten my search for tools. Todd On 8/26/2012 5:55 PM, Chris Barker wrote: Todd, The short version is: you can't do that. -- Jython uses the JVM, numpy is very, very tied into the CPython runtime. This thread

Re: [Numpy-discussion] installing numpy in jython (in Netbeans)

On 8/27/2012 9:51 AM, Chris Barker wrote: On Sun, Aug 26, 2012 at 8:53 PM, Todd Brunhoffto...@nvr.com wrote: Chris, winpdb is ok, although it is only a graphic debugger, not an ide, emphasis on the 'd'. yup -- I mentioned, that as you seem to like NB -- and I know I try to use the same

[Numpy-discussion] Hierarchical vs non-hierarchical ndarray.base and __array_interface__

indices go. Any suggestions? Thanks! -Todd __ Todd Gamblin, tgamb...@llnl.gov, http://people.llnl.gov/gamblin2 CASC @ Lawrence Livermore National Laboratory, Livermore, CA, USA

[Numpy-discussion] Z-ordering (Morton ordering) for numpy

) (2, 0) (3, 0) (2, 1) (3, 1) (0, 2) (1, 2) (0, 3) (1, 3) (2, 2) (3, 2) (2, 3) (3, 3) Thoughts? -Todd __ Todd Gamblin, tgamb...@llnl.gov, http://people.llnl.gov/gamblin2 CASC @ Lawrence Livermore National Laboratory, Livermore, CA

Re: [Numpy-discussion] Z-ordering (Morton ordering) for numpy

point. This is pure python, so it won't be super-fast. What's the typical way things are integrated and optimized in numpy? Do you contribute something like this in python first then convert to cython/C as necessary? Or would you want it in C to begin with? -Todd On Nov 24, 2012, at 12:17

[Numpy-discussion] 64-bit numpy questions?

environments on a day-to-day basis? Are you using very large arrays, i.e. over 2G in size? Cheers, Todd ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion

Re: [Numpy-discussion] numpy issues at startup

Of Robert Kern Sent: Tuesday, June 02, 2009 2:24 PM To: Discussion of Numerical Python Subject: Re: [Numpy-discussion] numpy issues at startup On Tue, Jun 2, 2009 at 13:19, Turner, Todd J Civ USAF AFMC AFRL/RXLMP todd.tur...@wpafb.af.mil wrote: I’m having some numpy problems when using the package