[SciPy-user] Width of the gaussian in stats.kde.gaussian_kde ?
Thu Sep 18 13:00:33 CDT 2008
Dear scipy users,
I used the kernel-density estimate to make some 2D density plots
(stats.kde.gaussian_kde) and I was very happy with the result.
But when I do the same exercise over a much larger area, I completely lost
the details I had with my previous analysis... If I understand correctly,
this is related to the adaptation of the elementary gaussian to the scale
of my dataset which now includes large areas with almost no data.
Question: is there a way to control the width of the gaussian in
stats.kde.gaussian_kde? or should I switch to another technique?
Note: I am both a newbie in python and stats...
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