VáclavŠmilauer wrote:
> I checked the official terminology, it is a kernel average smoother
> (in the sense of [1]) with special weight function exp(-(x-x0)^2/const),
> operating on irregularly-spaced data in 2d.
>
> I am not sure if that is the same as what scipy.stats.kde.gaussian_kde does,
> th
On 2009-10-05 15:54 PM, VáclavŠmilauer wrote:
> I am not sure if that is the same as what scipy.stats.kde.gaussian_kde does,
> the documentation is terse. Can I be enlightened here?
gaussian_kde does kernel density estimation. While many of the intermediate
computations are similar, they have en
> >> about a year ago I developed for my own purposes a routine for averaging
> >> irregularly-sampled data using gaussian average.
> >
> > is this similar to Kernel Density estimation?
> >
> > http://www.scipy.org/doc/api_docs/SciPy.stats.kde.gaussian_kde.html
>
> No. It is probably closer to ra
Ryan May wrote:
> On Sun, Oct 4, 2009 at 4:21 PM, Robert Kern wrote:
>> On 2009-10-04 15:27 PM, Christopher Barker wrote:
>>> Václav Šmilauer wrote:
>>>
about a year ago I developed for my own purposes a routine for averaging
irregularly-sampled data using gaussian average.
>>> is this s
On Sun, Oct 4, 2009 at 4:21 PM, Robert Kern wrote:
> On 2009-10-04 15:27 PM, Christopher Barker wrote:
>> Václav Šmilauer wrote:
>>
>>> about a year ago I developed for my own purposes a routine for averaging
>>> irregularly-sampled data using gaussian average.
>>
>> is this similar to Kernel Dens
Václav Šmilauer wrote:
> Hi,
>
> about a year ago I developed for my own purposes a routine for averaging
> irregularly-sampled data using gaussian average. I would like to
> contribute it to matplotlib, after a clean-up, if there is interest.
This sounds like a nice thing to have, but I am wonde
On 2009-10-04 15:27 PM, Christopher Barker wrote:
> Václav Šmilauer wrote:
>
>> about a year ago I developed for my own purposes a routine for averaging
>> irregularly-sampled data using gaussian average.
>
> is this similar to Kernel Density estimation?
>
> http://www.scipy.org/doc/api_docs/SciPy.
Václav Šmilauer wrote:
> about a year ago I developed for my own purposes a routine for averaging
> irregularly-sampled data using gaussian average.
is this similar to Kernel Density estimation?
http://www.scipy.org/doc/api_docs/SciPy.stats.kde.gaussian_kde.html
In any case, it sounds more like
Hi,
about a year ago I developed for my own purposes a routine for averaging
irregularly-sampled data using gaussian average. I would like to
contribute it to matplotlib, after a clean-up, if there is interest.
First it stores all data points in a (regular) grid. One can ask for
value at arbitrar
