[Numpy-discussion] failed to add routine to the core module

/number.c:363:5: note: in expansion of macro ‘BINOP_GIVE_UP_IF_NEEDED’ BINOP_GIVE_UP_IF_NEEDED(m1, m2, nb_sum_multiply, array_sum_multiply);| Sorry if my question seems basic, but I'm new in Numpy development. Any help? Thank you in advance, Marc Barbry PS: I opened an issues as well

Re: [Numpy-discussion] failed to add routine to the core module

Hello Marten, Thank you for your help, effectively, the example that you propose is much easier to imitate, I can now continue further. Thanks, Marc On 05/18/2017 04:32 PM, Marten van Kerkwijk wrote: Hi Marc, ufuncs are quite tricky to compile. Part of your problem is that, I think, you

[Numpy-discussion] Variance without temporary array

owing memory error, Running unit tests for numpy NumPy version 1.14.0.dev0+f9db20b NumPy relaxed strides checking option: True NumPy is installed in /home/marc/programs/python/my_numpy/local/lib/python2.7/site-packages/numpy-1.14.0.dev0+f9db20b-py2.7-linux-x86_64.egg/numpy Python version 2.7.12 (de

[Numpy-discussion] compiler binary in numpy.distutils

vance, Marc ___ NumPy-Discussion mailing list NumPy-Discussion@python.org https://mail.python.org/mailman/listinfo/numpy-discussion

[Numpy-discussion] Directives in numpy docstring convention

Hi there, Is there a reason why the numpy docstring convention doesn't use the sphinx directives .. deprecated:: [1] and .. seealso:: [2]? I see that the numpy convention [3] uses the .. note:: directive for the deprecation notes, and for the "See also" it uses a section in this form: See also

[Numpy-discussion] Stricter numpydoc validation

In pandas we've been, for more than a year now, enforcing a stricter numpydoc standard. And we've got a script to help with it, which validates things like capitalization and punctuation of paragraphs, the documented parameters (they must match the ones in the signature, have both a type and a desc

[Numpy-discussion] combinations of all rows and cols from a dataframe

Hello everyone, Given a dataframe like this: 2 6 8 5 I want to yield the following list of lists: [ [[2],[6,5]], [[2],[6]], [[2],[5]], [[8],[6,5]], [[8],[6]], [[8],[5]], [[6],[2,8]], [[6],[8]], [[6],[2]], [[5],[2,8]], [[5],[2]], [[5],[8]], [[6,5],[2,8]] ] I have written the following (which d

[Numpy-discussion] Does numpy depend upon a Fortran library?

nd why the pip installation of numpy includes a Fortran runtime library. Can someone explain to me what I am missing? thanks Marc ___ NumPy-Discussion mailing list NumPy-Discussion@python.org https://mail.python.org/mailman/listinfo/numpy-discussion