Hi Dave, The best I have been able to do for this is to manually bin up a 3d data object with the cut_region function and then do the calculation myself bin by bin. For example, if you have a sphere, you can do new_sphere = sphere.cut_region(['grid["Temperature"] > 1e5', 'grid["Temperature"] < 1e6']) That'll give you access to all the cells within that bin for a variance calculation. Note the quotes around those expressions. The cuts are applied in yt using eval functions. This will work, but it's slow and requires you to do a lot by hand. Britton On Wed, Oct 5, 2011 at 11:51 AM, david collins <antpuncher@gmail.com> wrote:
Hi, Everybody!
Does anyone out there have a technique for getting the variance out of a profile object? A profile object is good at getting <X> vs. B, I'd then like to get < (X - <X>)^2 > vs B. Matt and I had spittballed the possibility some time ago, but I was wondering if anyone out there had successfully done it.
Thanks, d.
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