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,
the
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
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
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?
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 wondering
On Sun, Oct 4, 2009 at 4:21 PM, Robert Kern robert.k...@gmail.com 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
Ryan May wrote:
On Sun, Oct 4, 2009 at 4:21 PM, Robert Kern robert.k...@gmail.com 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
