This could actually be done by using the structured dtype pretty easily.
The hard work would be improving the ufunc and generalized ufunc mechanism
to handle structured data-types. Numba actually provides some of this
already, so if you have NumPy + Numba you can do this sort of thing now.
-Travis
>From the closed pull request PR #5109:
https://github.com/numpy/numpy/pull/5109
it came out that the a good implementation would be adding a parameter
`period`. I would like to know about the community's interest for this
implementation.
The modification are shown here:
https://github.com/saul
On Wed, Sep 24, 2014 at 2:54 PM, Jaime Fernández del Río <
jaime.f...@gmail.com> wrote:
> On Tue, Sep 23, 2014 at 4:31 PM, Charles R Harris <
> charlesr.har...@gmail.com> wrote:
>
>>
>>
>> On Tue, Sep 23, 2014 at 4:59 PM, Charles R Harris <
>> charlesr.har...@gmail.com> wrote:
>>
>>> Hi All,
>>>
>
On Tue, Sep 23, 2014 at 4:31 PM, Charles R Harris wrote:
>
>
> On Tue, Sep 23, 2014 at 4:59 PM, Charles R Harris <
> charlesr.har...@gmail.com> wrote:
>
>> Hi All,
>>
>> The question has come up as the whether of not to treat the new gufunc
>> behavior as a bug fix, keeping the old constructor na
On 9/24/2014 2:52 PM, Jaime Fernández del Río wrote:
> There is a PR in github that adds a new keyword to the genfromtxt function,
> to limit the number of rows that actually get read in:
> https://github.com/numpy/numpy/pull/5103
Sorry to come late to this party, but it seems to me that
more ver
There is a PR in github that adds a new keyword to the genfromtxt function,
to limit the number of rows that actually get read in:
https://github.com/numpy/numpy/pull/5103
It is mostly ready to go, and several devs have looked at it without
complaining. Since it is an API change, I wanted to chec
I am in the process of trying to build numpy with OpenMP support but
have had several issues.
Has anyone else built it with success that could offer some guidance
in what needs to be passed at build time.
For reference I am using Atlas 3.10.2 built with OpenMP as well (-F
alg -fopenmp)
Thanks,
J
Is there a ufunc for rounding away from zero? Or do I need to do
x2 = sign(x) * ceil(abs(x))
whenever I want to round away from zero? Maybe the following is better?
x_ceil = ceil(x)
x_floor = floor(x)
x2 = where(x >= 0, x_ceil, x_floor)
Python's round function goes away from zer
On Tue, Sep 23, 2014 at 4:40 AM, Eric Moore wrote:
> Improving the dtype system requires working on c code.
>
yes -- it sure does. But I think that is a bit of a Red Herring. I'm barely
competent in C, and don't like it much, but the real barrier to entry for
me is not that it's in C, but that
Dear all,
today I've submitted a pull request:
https://github.com/numpy/numpy/pull/5109
in order to include an interpolation function for angular coordinates,
since using np.interp for this purpose is cumbersome.
I kindly ask for your feedback and/or questions.
Greetings,
Saullo
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