Mailman 3 January 2016 - NumPy-Discussion

ANN: xarray (formerly xray) v0.7.0 released
by Stephan Hoyer Jan. 21, 2016

Jan. 21, 2016

I am pleased to announce version v0.7.0 of xarray, the project formerly known as xray. xarray is an open source project and Python package that aims to bring the labeled data power of pandas to the physical sciences, by providing N-dimensional variants of the core pandas data structures. These data structures are based on the data model of the netCDF file format. In this latest release, we have renamed the project from "xray" to "xarray". This avoids a namespace conflict with the entire field … [View More]

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PR #7083: ENH: Added 'doane' and 'sqrt' estimators to np.histogram
by Joseph Fox-Rabinovitz Jan. 21, 2016

Jan. 21, 2016

Please let me know if there is anything wrong or missing. I have added a couple of estimators that I find useful sometimes. -Joe

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Re: [Numpy-discussion] PR #7083: ENH: Added 'doane' and 'sqrt' estimators to np.histogram
by Joseph Fox-Rabinovitz Jan. 21, 2016

Jan. 21, 2016

Where can I find the output of the tests on GitHub? I seem to be having trouble locating them. -Joe Sent from my LG Optimus L70™ ------ Original message------From: Jaime Fernández del RíoDate: Thu, Jan 21, 2016 02:17To: Discussion of Numerical Python;Subject:Re: [Numpy-discussion] PR #7083: ENH: Added 'doane' and 'sqrt' estimators to np.histogramThe tests are not passing, seems like you are taking the sqrt of a negative number, may want to check the inputs and raise a more informative … [View More]

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Behavior of np.random.uniform
by Jaime Fernández del Río Jan. 21, 2016

Jan. 21, 2016

Hi all, There is a PR (#7026 <https://github.com/numpy/numpy/pull/7026>) that documents the current behavior of np.random.uniform when the low and high parameters it takes do not conform to the expected low < high. Basically: - if low < high, random numbers are drawn from [low, high), - if low = high, all random numbers will be equal to low, and - if low > high, random numbers are drawn from (high, low] (notice the change in the open side of the interval.) My only … [View More]

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Should I use pip install numpy in linux?
by Yuxiang Wang Jan. 21, 2016

Jan. 21, 2016

Dear all, I know that in Windows, we should use either Christoph's package or Anaconda for MKL-optimized numpy. In Linux, the fortran compiler issue is solved, so should I directly used pip install numpy to get numpy with a reasonable BLAS library? Thanks! Shawn -- Yuxiang "Shawn" Wang Gerling Haptics Lab University of Virginia yw5aj(a)virginia.edu +1 (434) 284-0836 https://sites.google.com/a/virginia.edu/yw5aj/

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Re: [Numpy-discussion] Behavior of np.random.uniform
by Peter Creasey Jan. 21, 2016

Jan. 21, 2016

>> I would also point out that requiring open vs closed intervals (in >> doubles) is already an extremely specialised use case. In terms of >> *sampling the reals*, there is no difference between the intervals >> (a,b) and [a,b], because the endpoints have measure 0, and even with >> double-precision arithmetic, you are going to have to make several >> petabytes of random data before you hit an endpoint... >> > Petabytes ain't what they used to be ;) … [View More]

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Behavior of Printoptions with scalar types
by Sam Radhakrishan Jan. 20, 2016

Jan. 20, 2016

Hi all, This is related to #6908 <https://github.com/numpy/numpy/issues/6908>. While working on it I found that the printoptions are set only for array printing. The documentation however tells that printoptions can be set to pretty print single numpy values. I tried working on it and I am kinda stuck. I really don't know where else to post this. Regards, Sam Radhakrishnan

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Re: [Numpy-discussion] Behavior of np.random.uniform
by Peter Creasey Jan. 20, 2016

Jan. 20, 2016

+1 for the deprecation warning for low>high, I think the cases where that is called are more likely to be unintentional rather than someone trying to use uniform(closed_end, open_end) and you might help users find bugs - i.e. the idioms of ‘explicit is better than implicit’ and ‘fail early and fail loudly’ apply. I would also point out that requiring open vs closed intervals (in doubles) is already an extremely specialised use case. In terms of *sampling the reals*, there is no difference … [View More]

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1.11.0 release notes.
by Charles R Harris Jan. 20, 2016

Jan. 20, 2016

Hi All, I've put up a PR with revised 1.11.0 release notes at https://github.com/numpy/numpy/pull/7073. I would appreciate it if anyone involved in the 1.11 release would take a look and note anything missing that they think should be included or things that are misrepresented. Chuck

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What does -0.0 means?
by Arnaldo Russo Jan. 20, 2016

Jan. 20, 2016

Hi all, After fitting a curve, the output returns the initial value as *-0.0*. Why not a simple 0.0? What is this difference? Sorry for the stupid question, but why exist a negative zero? Cheers, Arnaldo. --- Arnaldo D'Amaral Pereira Granja Russo Instituto Ambiental Boto Flipper institutobotoflipper .org

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