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 documentation is terse. Can I be enlightened here?
It looks like they are both part of a similar class of methods: http://en.wikipedia.org/wiki/Kernel_%28statistics%29 As such, it makes sense to me to have them all in SciPy, sharing code and API. -Chris -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/OR&R (206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception chris.bar...@noaa.gov ------------------------------------------------------------------------------ Come build with us! The BlackBerry® Developer Conference in SF, CA is the only developer event you need to attend this year. Jumpstart your developing skills, take BlackBerry mobile applications to market and stay ahead of the curve. Join us from November 9-12, 2009. Register now! http://p.sf.net/sfu/devconf _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
