Hi,
It sounds like putting together a PR makes sense then. I'll try hacking on
this a bit.
-Robert
On Mar 16, 2015 11:20 AM, "Jaime Fernández del Río"
wrote:
> On Mon, Mar 16, 2015 at 9:28 AM, Jerome Kieffer
> wrote:
>
>> On Mon, 16 Mar 2015 06:56:58 -0700
>> Jaime Fernández del Río wrote:
>>
On Mon, Mar 16, 2015 at 1:50 AM, Stefan Otte wrote:
> Summarizing, my proposal is mostly concerned how to create block
> arrays from given arrays. I don't care about the name "stack". I just
> used "stack" because it replaced hstack/vstack for me. Maybe "bstack"
> for block stack, or "barray" for
On Mon, Mar 16, 2015 at 9:28 AM, Jerome Kieffer
wrote:
> On Mon, 16 Mar 2015 06:56:58 -0700
> Jaime Fernández del Río wrote:
>
> > Dispatching to a different method seems like a no brainer indeed. The
> > question is whether we really need to do this in C.
>
> I need to do both unweighted & weig
On Mon, 16 Mar 2015 06:56:58 -0700
Jaime Fernández del Río wrote:
> Dispatching to a different method seems like a no brainer indeed. The
> question is whether we really need to do this in C.
I need to do both unweighted & weighted histograms and we got a factor 5 using
(simple) cython:
it is i
On Mon, Mar 16, 2015 at 11:53 AM, Dave Hirschfeld wrote:
> I have a number of large arrays for which I want to compute the mean and
> standard deviation over a particular axis - e.g. I want to compute the
> statistics for axis=1 as if the other axes were combined so that in the
> example below I
On Mo, 2015-03-16 at 15:53 +, Dave Hirschfeld wrote:
> I have a number of large arrays for which I want to compute the mean and
> standard deviation over a particular axis - e.g. I want to compute the
> statistics for axis=1 as if the other axes were combined so that in the
> example below I
On 16 March 2015 at 15:53, Dave Hirschfeld wrote:
> I have a number of large arrays for which I want to compute the mean and
> standard deviation over a particular axis - e.g. I want to compute the
> statistics for axis=1 as if the other axes were combined so that in the
> example below I get two
I have a number of large arrays for which I want to compute the mean and
standard deviation over a particular axis - e.g. I want to compute the
statistics for axis=1 as if the other axes were combined so that in the
example below I get two values back
In [1]: a = randn(30, 2, 1)
For the me
On Sun, Mar 15, 2015 at 11:06 PM, Robert McGibbon
wrote:
> It might make sense to dispatch to difference c implements if the bins are
> equally spaced (as created by using an integer for the np.histogram bins
> argument), vs. non-equally-spaced bins.
>
Dispatching to a different method seems lik
We already use the word "stack" in lots of function names to refer to
something different from what bmat does. So while I definitely agree we
should have something like bmat for ndarrays, it would be better all the to
just pick a different name. np.block, even, might do the job.
On Mar 16, 2015 1:
Hey,
> 1. np.stack for stacking like np.asarray(np.bmat(...))
> http://thread.gmane.org/gmane.comp.python.numeric.general/58748/
> https://github.com/numpy/numpy/pull/5057
I'm the author of this proposal. I'll just give some context real quickly.
"My stack" started really simple, basically allow
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