Hi Stephanie,

When you call plot.save(), you need to pass something like this:

plot6z.save('JO201scc_76kpc_'+loop[i]+'t'+times[i], mpl_kwargs={'dpi': 300})

Or whichever dpi you'd like to use. In addition, you probably also want to call plot.set_figure_size(), which accepts a size in inches for the matplotlib figure used for the plot. The actual number of pixels in the resulting png image saved by matplotlib is dpi*figure_size.

Also if you *really* want this to be exact, you probably should disable the colorbar and the axes, so that the resulting figure contains *just* the image.

On Wed, Aug 29, 2018 at 4:08 PM Stephanie Tonnesen <stonnes@gmail.com> wrote:

Hi yt-users!

So I have a question about set_buff_size. I would like my pixels to be the same size as my more refined cell in a projectionplot, so have a couple lines of code like this:

plot6z=yt.ProjectionPlot(ds,"x","density",center=[0.5,0.5,0.33],width=(76,'kpc'))
plot6z.set_buff_size(2000)
plot6z.save('JO201scc_76kpc_'+loop[i]+'t'+times[i])

When I take a look at the png file that is made, there are 800 pixels across instead of the 2000 that I expect. I just checked the docs here: http://yt-project.org/doc/visualizing/plots.html

and based on the SlicePlot example I feel like it should work! Then again, it looks like in the example the number of pixels also doesn't change?

I would appreciate any/all advice!

Thanks!!

Stephanie

--
Dr. Stephanie Tonnesen
Associate Research Scientist
CCA, Flatiron Institute
New York, NY

stonnes@gmail.com
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