Hi Chris,

You can set the aspect ratio of your volume via the bbox keyword for load_uniform_grid. See the example in load_uniform_grid's docstrings:

bbox : array_like (xdim:zdim, LE:RE), optional

Size of computational domain in units sim_unit_to_cm

>>> arr = np.random.random((128, 128, 129))

>>> data = dict(Density = arr)

>>> bbox = np.array([[0., 1.0], [-1.5, 1.5], [1.0, 2.5]])

>>> pf = load_uniform_grid(data, arr.shape, 3.08e24, bbox=bbox, nprocs=12)

I'm not sure whether the volume renderer will use non-cubic voxels, but this should be an easy thing to modify and double check on your end.

Cheers,

Nathan

On Tue, Jun 4, 2013 at 11:59 AM, Chris Beaumont <cnb4ster@gmail.com> wrote:

Hi,

I'm new to yt and this list, so I apologize if this question has been answered before.

I'm trying to render a non-cubical volume (observational data: see an early attempt at https://vimeo.com/67421373). If I supply a scalar "resolution" to Camera.__init__, the output is a square, even though the input data is ~2x wider than it is tall. If I supply a tuple of values, I can manually stretch the image but, as you can tell from the movie, I want to spin around the volume. I don't think that messing with resolution will help me in this case, since the projected aspect ratio of the plot changes at each rotation step.

I did find an old thread similar to this (http://lists.spacepope.org/pipermail/yt-users-spacepope.org/2012-July/002793.html), but the recipe there seem specific to axis-aligned slices, and not generic rotations.

Is there a natural way to force yt to render pixels with the "right" aspect ratio?

Thanks,
Chris

--
************************************
Chris Beaumont
Graduate Student
Institute for Astronomy
University of Hawaii at Manoa
2680 Woodlawn Drive
Honolulu, HI 96822
www.ifa.hawaii.edu/~beaumont
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