Mailman 3 September 2018 - NumPy-Discussion

Search not working on www.numpy.org/devdocs/search.html
by Matti Picus Sept. 21, 2018

Sept. 21, 2018

I can enter a search term (say `ndarray`) in www.numpy.org/devdocs/search.html, but the result is empty. It worked yesterday. My firefox javascript debug console for the remote search says: jQuery.Deferred exception: Search is not defined @http://www.numpy.org/devdocs/search.html?q=ndarray:34:25 j@http://www.numpy.org/devdocs/_static/jquery.js:2:29997 g/</k<@http://www.numpy.org/devdocs/_static/jquery.js:2:30313 undefined If I build the documentation locally, search emits a different error but still works: XML Parsing Error: not well-formed Location: file:///.../doc/build/html/searchindex.js Line Number 1, Column 16: Searching on scipy.org, for instance https://docs.scipy.org/doc/numpy/search.html?q=ndarray&check_keywords=yes&a… works with no errors on the console Any hints? Matti

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Proposal to accept NEP 22: Duck typing for NumPy arrays
by Stephan Hoyer Sept. 21, 2018

Sept. 21, 2018

I propose to accept NEP-22, "Duck typing for NumPy arrays – high level overview": http://www.numpy.org/neps/nep-0022-ndarray-duck-typing-overview.html This NEP didn't generate much (any?) discussion on the mailing list when Nathaniel and I sent it out a few months ago. But I still think the high-level vision makes sense, and it would be nice to mark this informational NEP as accepted to lay-out a clear vision for how we want to handle "duck arrays". One nice thing about informational NEPs is that they don't commit us to any particular choices, so marking the NEP as is accepted is relatively low risk :). There are still plenty of details to refine (as we did in NEP-18), but we can take our time on that. Cheers, Stephan

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NumPy 1.15.2
by Charles R Harris Sept. 19, 2018

Sept. 19, 2018

Hi All, I'm planning to make a NumPy 1.15.2 release this coming weekend in order to deal with a couple of bugs. The fixes queued up for the release can be seen here <https://github.com/numpy/numpy/pulls?utf8=%E2%9C%93&q=milestone%3A%221.15.2…>. If you think that there should be addition, please comment. Cheers, Chuck

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[REL] Matplotlib 3.0.0
by Thomas Caswell Sept. 19, 2018

Sept. 19, 2018

Folks, Happy to announce Matplotlib 3.0.0! This is the first version of Matplotlib to only support Python 3. If you need Python 2.7 support the 2.2.x LTS series will continue to receive critical bug-fixes until 2020. Highlights of this release include: - GUI backend is selected at run-time based on what toolkits are installed. A GUI toolkit will not be selected on a headless server. - New cyclic color map *twilight* - Improvements to automatic layout of titles, ticks, and GridSpec - Many bug fixes! For the full details see https://matplotlib.org/users/whats_new.html and https://matplotlib.org/api/api_changes.html for whats new and API changes respectively. For packagers: Matplotlib no longer depends on six or pytz. A big thank you to everyone who worked on this release in terms of commits (~130 people have commits), reporting issues, and review. I expect there to be a v3.0.1 release in the next month or so. Tom

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Tidelift
by Stephan Hoyer Sept. 19, 2018

Sept. 19, 2018

Tidelift is a startup trying to make open source software more sustainable by selling an open source subscription that pays maintainers. NumPy is eligible for a guaranteed $10,000 over 24 months -- are we interesting in signing up? https://blog.tidelift.com/1m-to-pay-open-source-maintainers-on-tidelift https://tidelift.com/lifter/search/pypi/numpy It looks like they've started out focused on web development. NumPy is the only project I see listed in the scientific computing space.

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count_nonzero axis argument?
by Matthew Brett Sept. 18, 2018

Sept. 18, 2018

Hi, Is there any reason that np.count_nonzero should not take an axis argument? As in: >>> np.better_count_nonzero([[10, 11], [0, 3]], axis=1) array([2, 1]) It would be much more useful if it did... Cheers, Matthew

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Helper function for assignment from other structured arrays
by Feng Yu Sept. 17, 2018

Sept. 17, 2018

Hi, Assignment between structured arrays are matching by the order of fields, not by names of fields. Is there a recommended way of assignment by matching field names? I can see one way is to explicitly looping over the names; another possibility is to use the field names of the target array to index the source array. It would be nice if a recommended practice is provided as example near the documentation on the topic: https://docs.scipy.org/doc/numpy/user/basics.rec.html#assignment-from-other… Thanks, Yu

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Adding `max_rows` to `loadtxt'
by Matti Picus Sept. 17, 2018

Sept. 17, 2018

A new contributor submitted a PR[0] to add `max_rows`[1] to `loadtxt`, like is done in 'genfromtxt', (which is used under the hood for 'ndfromtxt', 'mafromtxt', and 'recfromtxt`). Any thoughts? [0] https://github.com/numpy/numpy/pull/11962 [1] Well, actually `maxlines`, but I asked to change it to `max_rows` to be consistent with `genfromtxt`. Matti

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ANN: SfePy 2018.3
by Robert Cimrman Sept. 17, 2018

Sept. 17, 2018

I am pleased to announce release 2018.3 of SfePy. Description ----------- SfePy (simple finite elements in Python) is a software for solving systems of coupled partial differential equations by the finite element method or by the isogeometric analysis (limited support). It is distributed under the new BSD license. Home page: http://sfepy.org Mailing list: https://mail.python.org/mm3/mailman3/lists/sfepy.python.org/ Git (source) repository, issue tracker: https://github.com/sfepy/sfepy Highlights of this release -------------------------- - easier setting of values of variables - new script for outline edge extraction - new example: homogenization of a piezoelectric heterogeneous structure For full release notes see http://docs.sfepy.org/doc/release_notes.html#id1 (rather long and technical). Cheers, Robert Cimrman --- Contributors to this release in alphabetical order: Robert Cimrman Vladimir Lukes

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CI Testing
by Charles R Harris Sept. 14, 2018

Sept. 14, 2018

Hi All, We might want to take a look at testing/building on AZURE <https://azure.microsoft.com/en-us/services/devops/pipelines/?&OCID=AID73675…>. Probably worth exploring, although it is hard to find all information. IIRC, we got an offer from Microsoft along these lines a couple of years ago when we were looking to support MSVC. Chuck

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