Mailman 3 April 2019 - NumPy-Discussion

BIDS / NumPy community meeting April 10/ 2019
by Tyler Reddy 09 Apr '19

09 Apr '19

Hi, A reminder of the community call scheduled for April 10/ 2019 at 12 pm Pacific Time. There's a section for community-suggested topics on the draft meeting document that may be edited here: https://hackmd.io/WVHUbdriRe26t6s09HjEhA?view

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proposal of new keywords for np.nan_to_num
by kikocorreoso 08 Apr '19

08 Apr '19

Hi all, I propose to add some keywords to nan_to_num function. The addition do not modify the actual behavior. Information related with this addition can be found in these links: https://github.com/numpy/numpy/pull/13219 https://github.com/numpy/numpy/pull/9355 The basic idea is to allow the user to use their own defined values when replacing nan, positive infinity and/or negative infinity. The proposed names for the keywords are 'nan', posinf', and 'neginf' respectively. So the usage would be something like this: >>> a = np.array((np.nan, 2, 3, np.inf, 4, 5, -np.inf)) >>> np.nan_to_num(a, nan=-999) array([-9.99000000e+002, 2.00000000e+000, 3.00000000e+000, 1.79769313e+308, 4.00000000e+000, 5.00000000e+000, -1.79769313e+308]) >>> np.nan_to_num(a, posinf=np.nan, neginf=np.nan) array([ 0., 2., 3., nan, 4., 5., nan]) Please, could you comment if it would be useful the addition?, if the PR needs any change?... Thanks to Eric, Joseph, Allan and Matti for their comments and revisions on GH. Kind regards.

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NetworkX 2.3rc3 released (Python 3 only)
by Jarrod Millman 04 Apr '19

04 Apr '19

I am happy to announce the third **release candidate** for NetworkX 2.3! NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. This release supports Python 3.5-3.7 (i.e., this is our first **Python 3 only** release). Please try out the pre-release and let us know about any problems you find. If no major issues arise, we will release 2.3 final next week. Please see the draft of the 2.3 release announcement: https://networkx.github.io/documentation/latest/release/release_dev.html Since this is a pre-release, pip won't automatically install it. So $ pip install networkx still installs networkx-2.2. But $ pip install --pre networkx will install networkx-2.3rc3. If you already have networkx installed then you need to do $ pip install --pre --upgrade networkx For more information, please visit our `website <http://networkx.github.io/>`_ and our `gallery of examples <https://networkx.github.io/documentation/latest/auto_examples/index.html>`_. Please send comments and questions to the `networkx-discuss mailing list <http://groups.google.com/group/networkx-discuss>`_. Best regards, Jarrod

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BIDS / NumPy community meeting April 3/ 2019
by Tyler Reddy 02 Apr '19

02 Apr '19

Hi, A reminder of the NumPy community meeting scheduled for 12pm Pacific time tomorrow, April 3/ 2019. There's a work in progress document with a community topics section that may be edited: https://hackmd.io/30eMeRnDQCSW7yDOG05gxA?view

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Beginner Help: Generating HTML using Sphinx
by Sanchi Vaishnavi 02 Apr '19

02 Apr '19

I was learning to get to $ make html to work. These are the final steps that I used on my test branch in my numpy repo: $ sphinx-build -b html doc/source builddir > >> build succeeded, 165 warnings. $ make html >> make: *** No rule to make target `html’. Stop. I checked one of the resultant HTML pages, and the changes had been made as expected. But to make sense of the last message, on reading on forums (StackOverflow), I found that I got that error because I was in the directory which* did not* contain the makefile. So: $ cd doc > $ make html > >> sphinx-build: error: unrecognized arguments: --keep-going > >> make: *** [html] Error 2 I can't make sense of the last two errors. I had followed the instructions from NumPy <http://www.numpy.org/devdocs/docs/howto_build_docs.html#sphinx-extensions> and Sphinx-doc <http://www.sphinx-doc.org/en/master/usage/quickstart.html#running-the-build> . I realize that this question is not about NumPy, so I appreciate any resource you can point me to. Thank you! Sanchi https://github.com/chelwin

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