I have put a pull request implementing numpy.guvectorize up for review:
https://github.com/numpy/numpy/pull/8054
Cheers,
Stephan
On Tue, Sep 13, 2016 at 10:54 PM, Travis Oliphant
wrote:
> There has been some discussion on the Numba mailing list as well about a
> version of
There has been some discussion on the Numba mailing list as well about a
version of guvectorize that doesn't compile for testing and flexibility.
Having this be inside NumPy itself seems ideal.
-Travis
On Tue, Sep 13, 2016 at 12:59 PM, Stephan Hoyer wrote:
> On Tue, Sep 13,
On Tue, Sep 13, 2016 at 10:39 AM, Nathan Goldbaum
wrote:
> I'm curious whether you have a plan to deal with the python functional
> call overhead. Numba gets around this by JIT-compiling python functions -
> is there something analogous you can do in NumPy or will this
On Tue, Sep 13, 2016 at 11:47 AM, Stephan Hoyer wrote:
> NumPy has the handy np.vectorize for turning Python code that operates on
> scalars into a function that vectorizes works like a ufunc, but no helper
> function for creating generalized ufuncs (http://docs.scipy.org/doc/
NumPy has the handy np.vectorize for turning Python code that operates on
scalars into a function that vectorizes works like a ufunc, but no helper
function for creating generalized ufuncs (
http://docs.scipy.org/doc/numpy/reference/c-api.generalized-ufuncs.html).
np.apply_along_axis accomplishes