> This probably will have no impact on your tests, but this looks like a
> bug. You probably mean:
>
> recXY = numpy.rec.fromarrays((x, y), names='x, y')
Sure! Thanks.
> Could you post the code you use to generate you inputs (ie what is x?)
My code is probably not usable by somebody else tha
On Wed, Jan 7, 2009 at 6:37 AM, Franck Pommereau
wrote:
> def f4 (x, y) :
>"""Jean-Baptiste Rudant
>
>test 1 CPU times: 111.21s
>test 2 CPU times: 13.48s
>
>As Jean-Baptiste noticed, this solution is not very efficient (but
>works almost of-the-shelf).
>"""
>recXY = n
Hi all,
First, let me say that I'm impressed: this mailing list is probably the
most reactive I've ever seen. I've asked my first question and got
immediately more solutions than time to test them... Many thanks to all
the answerers.
Using the various proposals, I ran two performance tests:
- te
A Tuesday 06 January 2009, Franck Pommereau escrigué:
> s = {} # sum of y values for each distinct x (as keys)
> n = {} # number of summed values (same keys)
> for x, y in zip(X, Y) :
> s[x] = s.get(x, 0.0) + y
> n[x] = n.get(x, 0) + 1
Maybe this is not so bad with a couple changes?
from
Hello,
Just thinking. If the parameters are limited, you may be able to use the
histogram feature? Doing one histogram with Y as weights, then one
without weights and calculating the mean from this yourself should be
pretty speedy I imagine. Other then that maybe sorting the whole thing
and then d
Francesc Alted wrote:
> A Tuesday 06 January 2009, Franck Pommereau escrigué:
>
>> Hi all, and happy new year!
>>
>> I'm new to NumPy and searching a way to compute from a set of points
>> (x,y) the mean value of y values associated to each distinct x value.
>> Each point corresponds to a measur
A Tuesday 06 January 2009, Franck Pommereau escrigué:
> Hi all, and happy new year!
>
> I'm new to NumPy and searching a way to compute from a set of points
> (x,y) the mean value of y values associated to each distinct x value.
> Each point corresponds to a measure in a benchmark (x = parameter,
Hi all, and happy new year!
I'm new to NumPy and searching a way to compute from a set of points
(x,y) the mean value of y values associated to each distinct x value.
Each point corresponds to a measure in a benchmark (x = parameter, y =
computation time) and I'd like to plot the graph of mean co
