[yt-dev] Numpy-like ops YTEP

[Nathan Goldbaum]

I'd say nearest neighbor. Then it's also a generalization of what the
FixedResolutionBuffer does.

On Friday, September 25, 2015, Matthew Turk <matthewturk at gmail.com> wrote:

> Hi everyone,
>
> Thanks for the feedback -- I've made a bunch of changes and additions.
> One thing I wanted to ask was about 3D slicing that includes steps.
> For instance, in numpy style:
>
> ds = yt.load(...)
> ds.d[ (-5, 'km') : (5, 'km') : 128j, (-10, 'km') : (10, 'km') : 256j,
> (-2.5, 'km') : (2.5, 'km'): 64j]
>
> this should return a 128x256x64 3D array.  But, how do we generate that?
>
> The obvious thing would be to do either covering grid or arbitrary
> grids.  The former requires alignment with cell boundaries, and the
> latter currently only supports particles.  I think "arbitrary_grid"
> maps a lot more naturally to the situation, though.  So it would
> require implementing mesh fields in the arbitrary_grid object, which
> is fine, but it's not clear to me the right *way* to do that.  I think
> the choice might be between nearest neighbor and trilinear
> interpolation.  So, for the *default* behavior, should we do:
>
>  * Trilinear interpolation (maybe nicer, but also subject to
> crazytimes with stuff that isn't a volume quantity, like mass)
>  * Nearest neighbor (way, way faster, but also lower quality values in
> many cases)?
>
> My inclination is #2, but I wanted a sanity check...
>
> -Matt
>
> On Mon, Sep 21, 2015 at 3:17 PM, Matthew Turk <matthewturk at gmail.com
> <javascript:;>> wrote:
> > Hi all,
> >
> > I'd very much appreciate feedback on this YTEP:
> >
> >
> https://bitbucket.org/yt_analysis/ytep/pull-requests/55/ytep-0026-numpy-like-operations/diff
> >
> > The related PR that starts implementing them is here:
> >
> >
> https://bitbucket.org/yt_analysis/yt/pull-requests/1763/wip-proposed-set-of-new-numpy-like-ops/diff
> >
> > Two things that I think need some bikeshedding -- histogram and the
> > step argument to slicing.
> >
> > -Matt
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