yt-users March 2013

yt-users@python.org

25 participants
25 discussions

Porting .ply files to Blender with colors?
by Jill P. Naiman 14 Aug '22

14 Aug '22

Hi All, I was curious if anyone has had any luck porting .ply files generated with yt into Blender with colors? It seems to port in the surfaces just fine, but they are a uniform color. From what I can gather, Blender imports .ply files with face color instead of vertex so I tried the surf.export_ply routine with "face" instead of "vertex" for sample_type, but no luck ("vertex" doesn't work either). Let me know if I can provide any more useful info. Thanks for any help, -J

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Stars on volume rendering
by Elizabeth Harper-Clark 11 Dec '21

11 Dec '21

Hi all, Thanks for all your help over the last couple of days. One more question: - Can I plot particles on a volume rendered image? I have stars and I want to show where they are! Thanks, Libby -- Elizabeth Harper-Clark MA MSci PhD Candidate, Canadian Institute for Theoretical Astrophysics, UofT Sciences and Engineering Coordinator, Teaching Assistants' Training Program, UofT www.astro.utoronto.ca/~h-clark <http://www.astro.utoronto.ca/%7Eh-clark> h-clark(a)cita.utoronto.ca Astronomy office phone: +1-416-978-5759

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Variance in phase/profiles
by david collins 11 Apr '20

11 Apr '20

Hi, Everybody! Does anyone out there have a technique for getting the variance out of a profile object? A profile object is good at getting <X> vs. B, I'd then like to get < (X - <X>)^2 > vs B. Matt and I had spittballed the possibility some time ago, but I was wondering if anyone out there had successfully done it. Thanks, d. -- Sent from my computer.

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yt volume render/AMRKDtree help
by Renyue Cen 25 Aug '13

25 Aug '13

Hi, I did some simple volume rendering with the following script: volume2 = AMRKDTree(pf, fields=["Dark_Matter_Density"], no_ghost=False, tree_type="domain", le=c-0.5*WW, re=c+0.5*WW) cam = pf.h.camera(c, L, W, N, tf, volume=volume2, no_ghost=False, north_vector=L, steady_north=True) cam.snapshot(fn="%s_iso-DMdensity-%3.3d.png" % (filenameTHIS, j)) I got rather strange results in that the pictures look symmetric, which I am pretty sure can not be true. I attach the obtained plot. Note that I am using KD tree and using 32 cores. Your help at your earliest convenience is appreciated. Best, Renyue

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Release of yt-2.5.1
by Matthew Turk 30 Mar '13

30 Mar '13

Hi all, We're proud to release yt version 2.5.1. This is a scheduled point release that includes all bug fixes identified and fixed since the release of 2.5 on March 1. Major changes include: * The addition of a frontend for the Pluto code (Andrew Myers) * The addition of an OBJ exporter to enable transparent and multi-surface exports of surfaces to Blender and Sketchfab (Jill Naiman) There have also been a number of minor bugs fixed in this release. Some highlights: * load_uniform_grid can now decompose dims >= 1024. (#537) * Axis unit setting works correctly for unit names (#534) * ThermalEnergy is now calculated correctly for Enzo MHD simulations (#535) * Radius fields had an asymmetry in periodicity calculation (#531) * Boolean regions can now be pickled (#517) If you are using the stable branch of yt from an installation script, you can upgrade using "yt update". If you are using the development branch, you may already have these fixes. An installation-ready tarball with generated C code (i.e., no Cython) has been uploaded to the Python Package Index (PyPI). Thanks very much, Matt, on behalf of the yt development team

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non-converted fields?
by David Collins 28 Mar '13

28 Mar '13

Hi! Is there a way to get yt to not convert data to CGS? I'm doing some debugging, and its easier to see the code units. I had a work around for this a while ago, but there has been a bunch of code development since then. Thanks! d.

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can I install yt on my laptop
by Reju Sam John 27 Mar '13

27 Mar '13

Dear all, I am a starter in YT. Now I am not in a position to access our cluster computer. I would like to know is it possible to install the yt in my laptop pc. Specifications - 3rd Gen 1.7 GHz Intel Core i5 Processor, 4 GB RAM, 500GB Hard dick, 2GB Graphic Memory, AMD Mobility Radeon 7670M HD Graphic Processor, And OS is Ubuntu 12.04 If yes what are the prerequisite? Please help me. Yours, Reju Sam John -- Reju Sam John

3 5

color algae
by Jun-Hwan Choi 26 Mar '13

26 Mar '13

Hi yt user, I try to generate the projection plot with plot_modification from yt HUB. In example_image_script.py, I try to use color map "algae", it is not exist, becuase the algae is the yt built in color. Is ther any way, I can import the yt color map "algae"? I try to use "from yt.visualization.color_maps import raven_colormaps", nut the ravens_colormaps is not exist. I am using yt 2.4. Thank you in advance, Junhwan -- -------------------------------------------------------------- Jun-Hwan Choi, Ph.D. Department of Physics and Astronomy, University of Kentucky Tel: (859) 897-6737 Fax: (859) 323-2846 Email: jhchoi(a)pa.uky.edu URL: http://www.pa.uky.edu/~jhchoi --------------------------------------------------------------

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Fonts size in the Projection plot.
by Jun-Hwan Choi 26 Mar '13

26 Mar '13

Hi yt user, I make a very simple projection plot using following script: ========== from yt.mods import * # Load the dataset. pf = load("../RunDM1/DD0134/DD0134") center = na.array([0.5,0.5,0.5,]) # Making slice slc = ProjectionPlot(pf, 2,'Density', center,(100, 'pc') , 'Density') slc.annotate_text((-45,42.5), "a)", data_coords=False) slc.save("Run1") ========== It generate plot with x, y, z labels and ticks as well text "a)" I would like to increase the font size of label, ticks, and text. I also change the color of the text. I think it is very basic operation, but I can not find the way. Can anyone help me? Thanks in advance, Junhwan -- -------------------------------------------------------------- Jun-Hwan Choi, Ph.D. Department of Physics and Astronomy, University of Kentucky Tel: (859) 897-6737 Fax: (859) 323-2846 Email: jhchoi(a)pa.uky.edu URL: http://www.pa.uky.edu/~jhchoi --------------------------------------------------------------

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Visualisation problems
by Elizabeth Tasker 25 Mar '13

25 Mar '13

Hey, I have two question about visualisation options: (1) Is there a way of changing the colour of the contour, when it's used as a plot modification? I've tried: p.modify['contour']('NumberDensity', ncont=1, clim=[90,110], plot_args=dict(color='white', linewidths=3)) But no matter what I set 'color' all I get is purple! (2) When yt is used to create a grid of images via: p = pc.add_projection("Density", 2, center=na.array([x[i],y[i],16.]), figure=fig, axes=axes[0][i], use_colorbar=False) is there a way to add a space or a thicker border between the images? Currently, the images are quite dark and the border is black, so they run into each other a bit. Thanks! Elizabeth

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yt-users March 2013