Assuming these are slices through an AMR simulation, you could try manually
plotting the images using matplotlib's imshow command:
https://matplotlib.org/devdocs/api/_as_gen/matplotlib.axes.Axes.imshow.
html#matplotlib-axes-axes-imshow
In particular experimenting with the "interpolation" keyword argument. By
default, yt uses "interpolation='nearest'" (see https://github.com/yt-
project/yt/blob/master/yt/visualization/base_plot_types.py#L218) as this is
the "truest" representation of voxelized data in a pixelized representation.
You can see how different interpolation choices look in this example in the
matplotlib docs:
https://matplotlib.org/examples/images_contours_and_fields/interpolation_met...
This choice to use "interpolation='nearest'" in SlicePlot was intentional
and I don't think we want to expose the ability to customize the
interpolation, but of course you can create your own visualizations outside
of SlicePlot using a FixedResolutionBuffer and the manual plotting
interface.
On Tue, May 30, 2017 at 9:34 AM, Matthew Turk
Hi Tazkera,
There's not, unfortunately. We have experimented with this in the past, but the results weren't ever satisfactory. You might try a very thin slice with an off-axis projection, which may accomplish the same result.
-Matt
On Tue, May 30, 2017 at 12:06 AM, tazkera haque
wrote: Hi People,
I was wondering if yt can produce smooth images of zoomed-in sliceplots, where the pixelated AMR grids are not clearly visible. I was interested to see the colors get mixed in smoothly (something like tetrahedralization), is that possible anyway in yt?
Best Tazkera
_______________________________________________ yt-users mailing list yt-users@lists.spacepope.org http://lists.spacepope.org/listinfo.cgi/yt-users-spacepope.org
_______________________________________________ yt-users mailing list yt-users@lists.spacepope.org http://lists.spacepope.org/listinfo.cgi/yt-users-spacepope.org