Hi Stephanie,

They’re colored in the example on this page:

http://yt-project.org/doc/visualizing/callbacks.html

The colors are supposed to illustrate distinct clumps.

On Thu, Aug 30, 2018 at 7:14 PM Stephanie Tonnesen <stonnes@gmail.com> wrote:
Ah-ha!  Thank you!  Alright, I will work with that. 

Also, once I beefed up the resolution of the png file the spheres did turn into contours. However, I am not sure why my contours are colored?  I feel like I am following the example pretty closely and that doesn’t happen there...

Thanks again!
Stephanie 

On Thu, Aug 30, 2018 at 8:02 PM Britton Smith <brittonsmith@gmail.com> wrote:
Hi Stephanie,

I'll step in here since I'm responsible for a good amount of the clump finder.

BUT, when I type 
> print (leaf_clumps[0]["gas","density"])

I get 22 outputs.  

What you're seeing in the above code is the number of cells in the first leave clump. To see how many leaf_clumps you have, you would do:
print (len(leaf_clumps))

The message, "Pixelizing contour 391", may be a red herring. Many clumps will get created and destroyed during the clump finding process, but the unique clump id is always increments, so you could end up with 4 clumps with ids of 0, 8, 42, 391, just as an example.

Still, I suspect you'll find that there are an awful lot of leaf clumps, just based on the image you sent. If there is a large number of clumps along the line of sight, then annotate_clumps may always look a bit messy. If you think there are too many clumps, you can try adding a clump_validator to set some lower limits on what should be considered a clump. It may very well be the case that you have a large number of single-cell clumps just due to fluctuations in the density field. Adding some validation criterion, like a minimum number of cells, or gravitational boundedness, may help cut that down.

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

stonnes@gmail.com
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