Mailman 3 October 2015 - NumPy-Discussion

isfortran compatibility in numpy 1.10.
by Charles R Harris Nov. 2, 2015

Nov. 2, 2015

Hi All, The isfortran function calls a.fnc (Fortran-Not-C), which is implemented as F_CONTIGUOUS && !C_CONTIGUOUS. Before relaxed stride checking contiguous multidimensional arrays could not be both and continguous 1-D arrays were always CONTIGUOUS, but this is not longer the case. Consequently current isfortran breaks backward compatiblity. There are two suggested solutions 1. Return `a.flags.f_contiguous`. This differs for 1-D arrays, but is most consistent with the name … [View More]

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Commit rights for Jonathan J. Helmus
by Nathaniel Smith Nov. 1, 2015

Nov. 1, 2015

Hi all, Jonathan J. Helmus (@jjhelmus) has been given commit rights -- let's all welcome him aboard. -n

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NumFOCUS fiscal sponsorship agreement
by Nathaniel Smith Oct. 31, 2015

Oct. 31, 2015

Hi all, Now that the governance document is in place, we need to get our legal ducks in a row by signing a fiscal sponsorship agreement with NumFOCUS. The basic idea here is that there are times when you really need some kind of corporation to represent the project -- the legal system for better or worse does not understand "a bunch of folks on a mailing list" as a legal entity capable of accepting donations, or holding funds or other assets like domain names. The obvious solution is to … [View More]

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Back to the Future for np.lib.split
by Charles R Harris Oct. 30, 2015

Oct. 30, 2015

Hi All, This is to note that gh-6592 <https://github.com/numpy/numpy/pull/6592> proposes to accelerate a planned future change to array_split. In Numpy < 1.9 empty arrays resulting from split always had dimension (0,),regardless of the dimensions of the other arrays in the result. In Numpy 1.9 a FutureWarning was raised saying that that would change and at some point empty arrays would have dimensions consistent with the other arrays in the result. However, there was a bug in the … [View More]

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[announce] matplotlib 1.5.0 released
by Thomas Caswell Oct. 29, 2015

Oct. 29, 2015

Hey all, We are pleased to finally announce the release of matplotlib 1.5.0! It has been over a year since the last feature release and we have had over 230 people contribute to this cycle. This release of matplotlib has several major new features including - Auto-redraw using the object-oriented API in interactive mode. - Most plotting functions now support labeled data API [Jan Schulz]. - Color cycling has extended to all style properties [Ben Root]. - Four new perceptually uniform … [View More]

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Linking Numpy with parallel OpenBLAS
by Daπid Oct. 29, 2015

Oct. 29, 2015

I have installed all the OpenBLAS versions availables at the Fedora repos, that include openMP and pthreads versions. But Numpy installed by pip on a virtualenv seems to only link to the serial version. Is there a way to convince it to use the parallel one? Here are my libraries: (py27)[david@SQUIDS lib64]$ ls libopenblas* libopenblas64.a libopenblaso64.so.0 libopenblasp64.so.0 libopenblas64-r0.2.14.so libopenblaso.a libopenblasp.a libopenblas64.so … [View More]

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Re: [Numpy-discussion] Numpy Generalized Ufuncs: Pointer Arithmetic and Segmentation Faults (Debugging?)
by eleanore.young＠artorg.unibe.ch Oct. 26, 2015

Oct. 26, 2015

Dear Jaime, dear Travis thanks for pointing out my stride errors. This just gets me every time. After trying out Travis’ suggestion to work with numba, I feel that this works best for me. Functions are easier to generalise to different data types and I can make use of my existing Python development environment that way. Thanks again for your rapid and helpful support! Best, Eleanore

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Numpy Generalized Ufuncs: Pointer Arithmetic and Segmentation Faults (Debugging?)
by eleanore.young＠artorg.unibe.ch Oct. 26, 2015

Oct. 26, 2015

Dear Numpy maintainers and developers, Thanks for providing such a great numerical library! I’m currently trying to implement the Dynamic Time Warping metric as a set of generalised numpy ufuncs, but unfortunately, I have lasting issues with pointer arithmetic and segmentation faults. Is there any way that I can use GDB or some such to debug a python/numpy extension? Furthermore: is it necessary to use pointer arithmetic to access the function arguments (as seen on http://docs.scipy.org/doc/… [View More]

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ANN: Scipy 0.16.1 release
by Ralf Gommers Oct. 25, 2015

Oct. 25, 2015

Hi all, I'm happy to announce the availability of the Scipy 0.16.1 release. This is a bugfix only release; it contains no new features compared to 0.16.0. The sources and binary installers can be found at: - Source tarballs: at https://github.com/scipy/scipy/releases and on PyPi. - OS X: there are wheels on PyPi, so simply install with pip. - Windows: .exe installers can be found on https://github.com/scipy/scipy/releases Cheers, Ralf ========================== SciPy 0.16.1 … [View More]

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Nansum function behavior
by Charles Rilhac Oct. 24, 2015

Oct. 24, 2015

Hello, I noticed the change regarding nan function and especially nansum function. I think this choice is a big mistake. I know that Matlab and R have made this choice but it is illogical and counterintuitive. First argument is about logic. An arithmetic operation between Nothing and Nothing cannot make a figure or an object. Nothing + Object can be an object or something else, but from nothing, it cannot ensue something else than nothing. I hope you see what I mean. Secondly, it's … [View More]

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