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February 2018

13 participants
20 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

3 2

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

8 14

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.

6 8

3-D Mass power spectra
by 梁家豪 03 Jun '19

03 Jun '19

Dear yt Can current yt calculate 3-D Mass power spectra? I checked the website but I didn't find any information. I think calculating 3-D Mass power spectra is a very useful for cosmological simulations. So I guess maybe yt supports this function now....? Thanks in advance

4 7

RAMSES with RADMC3D
by Lamberts, Astrid 27 Feb '18

27 Feb '18

Hi all, We are trying to obtain inputs for RADMC3D from RAMSES data using the method from : http://yt-project.org/doc/analyzing/analysis_modules/radmc3d_export.html I get the following error message In [5]: writer = RadMC3DWriter(ds) --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) <ipython-input-5-e2ea2893623c> in <module>() ----> 1 writer = RadMC3DWriter(ds) /Users/astrid/miniconda2/lib/python2.7/site-packages/yt/analysis_modules/radmc3d_export/RadMC3DInterface.pyc in __init__(self, ds, max_level) 146 self.cell_count += np.product(ds.domain_dimensions) 147 --> 148 sorted_grids = sorted(ds.index.grids, key=lambda x: x.Level) 149 for grid in sorted_grids: 150 if grid.Level <= self.max_level: AttributeError: 'RAMSESIndex' object has no attribute 'grids' which apparently has already popped up in the past (http://lists.spacepope.org/pipermail/yt-users-spacepope.org/2015-October/00… ). Has this issue been fixed somewhere? How can we get this to work? Thanks, Astrid Astrid Lamberts Postdoctoral Researcher TAPIR Group, Caltech

2 1

Re: yt-users Digest, Vol 120, Issue 10
by Kazem Ardaneh 22 Feb '18

22 Feb '18

Hi Nathan My script is as bellow: fns = [ "../DD0072/DD0072","../DD0102/DD0102","../DD0422/DD0422", "../DD1117/DD1117", "../DD1676/DD1676","../DD1902/DD1902","../DD1992/DD1992", "../DD2054/DD2054", "../DD3275/DD3275","../DD3601/DD3601","../DD3963/DD3963", "../DD6300/DD6300" ] fig = plt.figure() grid = AxesGrid(fig, (0.02,0.02,0.84,0.84), nrows_ncols = (3, 4), axes_pad = 0.05, label_mode = "L", share_all = True, cbar_location="right", cbar_mode="single", cbar_size="4%", cbar_pad="1%”) field = ['logD'] for i, fn in enumerate(fns): ds = yt.load(fn) p = yt.SlicePlot(ds, 'y', field) p.set_zlim('logD', -12, np.log10(5e-7)) p.hide_axes() p.set_cmap('logD','jet') plot = p.plots['logD'] plot.figure = fig plot.axes = grid[i].axes plot.cax = grid.cbar_axes[i] p._setup_plots() I want to set ticks as [-12,-11,-10,-9,-8,-7], with similar labels. What I do is as bellow: cbar=plot.cb cbar.set_ylabel(r'$\mathbf{log\ \rho\ [g\ cm^{-3}]}$') cbar.ticklabels(['{:.0f}'.format(x) for x in np.arange(-12, np.log10(5e-7), 1)]) as is discussed here: http://yt-project.org/doc/cookbook/custom_colorbar_tickmarks.html But it seems it does not work for this plot. Kazem On Thu, Feb 22, 2018 at 2:00 AM, <yt-users-request(a)python.org> wrote: > Send yt-users mailing list submissions to > yt-users(a)python.org > > To subscribe or unsubscribe via the World Wide Web, visit > https://mail.python.org/mm3/mailman3/lists/yt-users.python.org/ > or, via email, send a message with subject or body 'help' to > yt-users-request(a)python.org > > You can reach the person managing the list at > yt-users-owner(a)python.org > > When replying, please edit your Subject line so it is more specific > than "Re: Contents of yt-users digest..." > > Today's Topics: > > 1. Re: Loading a large gadget snapshot (Nathan Goldbaum) > 2. Re: set ticks and label for AxesGrid colorbar (Nathan Goldbaum) > > > ---------------------------------------------------------------------- > > Date: Tue, 20 Feb 2018 19:57:25 -0600 > From: Nathan Goldbaum <nathan12343(a)gmail.com> > Subject: [yt-users] Re: Loading a large gadget snapshot > To: Desika Narayanan <desika.narayanan(a)gmail.com>, Discussion of > the yt analysis package <yt-users(a)python.org> > Message-ID: > <CAJXewOnftkyL3GvXC-bafgCWcn0nPaEN7ktNKv6eYx1vEJcU > Xg(a)mail.gmail.com> > Content-Type: multipart/alternative; > boundary="94eb2c05f198e4c8590565af4076" > > --94eb2c05f198e4c8590565af4076 > Content-Type: text/plain; charset="UTF-8" > > Yes, apologies, I got that backwards. A larger n_ref means there needs be > more particles per octree leaf zone to trigger refinement on that zone, so > the you end up with fewer octree leaf nodes over all and you need less > memory. > > -Nathan > > On Tue, Feb 20, 2018 at 7:53 PM, Desika Narayanan < > desika.narayanan(a)gmail.com> wrote: > > > quick note -- set n_ref=64 or 128 (or bigger than 32) to reduce RAM > > footprint (instead of 16). > > > > -d > > > > On Tue, Feb 20, 2018 at 8:37 PM, Nathan Goldbaum <nathan12343(a)gmail.com> > > wrote: > > > >> Hi Jared, > >> > >> Just a comment that for these really big particle simulations the way yt > >> currently supports particle data doesn't scale terribly well, so you > might > >> run into either issues with operations taking a very long time or using > too > >> much RAM. > >> > >> You may find it useful to only load in data in a subset of the > simulation > >> domain to restrict the number of particles yt is dealing with at any one > >> time. This can be controlled at a coarse level via the "bounding_box" > >> keyword argument to the load() function, in particular by supplying a > >> bounding box that only covers a portion of the domain. It might also > help > >> with RAM usage to supply n_ref=16 instead of the default (32). There's > more > >> detail about what these parameters do in the docs: > >> > >> http://yt-project.org/docs/3.4.1/examining/loading_data. > html#gadget-data > >> > >> If you'd like you could also try the "sph-viz" branch on my fork of yt > at > >> https://github.com/ngoldbaum/yt. This branch contains an implementation > >> of the next-generation support for particle data in yt that is still > under > >> development. This version will scale much better for a dataset as big as > >> yours. > >> > >> Best, > >> > >> Nathan > >> > >> On Tue, Feb 20, 2018 at 7:22 PM, Matthew Turk <matthewturk(a)gmail.com> > >> wrote: > >> > >>> Hi Jared, > >>> > >>> I know you can make the particle IDs work by specifying the dtype, but > >>> my reading of the _validate_header code is the same as yours. I think > >>> it would be a pretty straightforward change to conditionally make the > >>> 'I' read into the struct into a 64-bit variable, but it's not there > >>> now. > >>> > >>> -Matt > >>> > >>> On Tue, Feb 20, 2018 at 7:16 PM, Jared Coughlin > >>> <Jared.W.Coughlin.29(a)nd.edu> wrote: > >>> > Hello! I have a gadget snapshot file with 1024^3 particles. When I > >>> tried to > >>> > load it with yt, yt fails by saying that it cannot identify the file > >>> type. I > >>> > did some digging and found that the way yt validates a gadget > snapshot > >>> is by > >>> > reading the number of particles from the header and then comparing > that > >>> > number to the number derived from the size of the position block. > This > >>> size > >>> > is 1024^3 *3*4 (the number of particles times 3 positions times 4 > >>> bytes per > >>> > position). However, as I just discovered, this number is larger than > >>> the max > >>> > value of an int in c, and so gadget writes a value of 0 due to the > >>> overflow. > >>> > As such, I need to use gadget's unsigned long long int for the > >>> padding, but > >>> > this is 8 bytes, not 4. I was just wondering if yt had some ability > to > >>> > detect the need to use something larger than an int? If not, I can > add > >>> it. > >>> > Thanks! > >>> > -Jared > >>> > > >>> > _______________________________________________ > >>> > yt-users mailing list -- yt-users(a)python.org > >>> > To unsubscribe send an email to yt-users-leave(a)python.org > >>> > > >>> > _______________________________________________ > >>> > yt-users mailing list -- yt-users(a)python.org > >>> > To unsubscribe send an email to yt-users-leave(a)python.org > >>> > > >>> _______________________________________________ > >>> yt-users mailing list -- yt-users(a)python.org > >>> To unsubscribe send an email to yt-users-leave(a)python.org > >>> _______________________________________________ > >>> yt-users mailing list -- yt-users(a)python.org > >>> To unsubscribe send an email to yt-users-leave(a)python.org > >>> > >> > >> > >> _______________________________________________ > >> yt-users mailing list -- yt-users(a)python.org > >> To unsubscribe send an email to yt-users-leave(a)python.org > >> > >> _______________________________________________ > >> yt-users mailing list -- yt-users(a)python.org > >> To unsubscribe send an email to yt-users-leave(a)python.org > >> > >> > > > > _______________________________________________ > > yt-users mailing list -- yt-users(a)python.org > > To unsubscribe send an email to yt-users-leave(a)python.org > > > > _______________________________________________ > > yt-users mailing list -- yt-users(a)python.org > > To unsubscribe send an email to yt-users-leave(a)python.org > > > > > > --94eb2c05f198e4c8590565af4076 > Content-Type: text/html; charset="UTF-8" > Content-Transfer-Encoding: quoted-printable > > <div dir=3D"ltr"><div>Yes, apologies, I got that backwards. A larger n_ref > = > means there needs be more particles per octree leaf zone to trigger > refinem= > ent on that zone, so the you end up with fewer octree leaf nodes over all > a= > nd you need less memory.<br><br></div>-Nathan<br></div><div > class=3D"gmail_= > extra"><br><div class=3D"gmail_quote">On Tue, Feb 20, 2018 at 7:53 PM, > Desi= > ka Narayanan <span dir=3D"ltr"><<a href=3D"mailto:desika. > narayanan@gmail= > .com" target=3D"_blank">desika.narayanan(a)gmail.com</a>></span> > wrote:<br= > ><blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 > .8ex;border-left:1= > px #ccc solid;padding-left:1ex"><div dir=3D"ltr">quick note -- > set=C2=A0<sp= > an style=3D"color:rgb(34,34,34);font-family:arial,sans-serif; > font-size:12.8= > px;font-style:normal;font-variant-ligatures:normal;font- > variant-caps:normal= > ;font-weight:400;letter-spacing:normal;text-align: > start;text-indent:0px;tex= > t-transform:none;white-space:normal;word-spacing:0px; > background-color:rgb(2= > 55,255,255);text-decoration-style:initial;text-decoration- > color:initial;flo= > at:none;display:inline">n_ref=3D64 or 128 (or bigger than 32) to reduce > RAM= > footprint (instead of 16).=C2=A0 =C2=A0</span><span > class=3D"HOEnZb"><font= > color=3D"#888888"><div><span style=3D"color:rgb(34,34,34); > font-family:aria= > l,sans-serif;font-size:12.8px;font-style:normal;font- > variant-ligatures:norm= > al;font-variant-caps:normal;font-weight:400;letter- > spacing:normal;text-alig= > n:start;text-indent:0px;text-transform:none;white-space: > normal;word-spacing= > :0px;background-color:rgb(255,255,255);text-decoration- > style:initial;text-d= > ecoration-color:initial;float:none;display:inline"><br></ > span></div><div><s= > pan style=3D"color:rgb(34,34,34);font-family:arial,sans-serif; > font-size:12.= > 8px;font-style:normal;font-variant-ligatures:normal;font- > variant-caps:norma= > l;font-weight:400;letter-spacing:normal;text-align: > start;text-indent:0px;te= > xt-transform:none;white-space:normal;word-spacing:0px; > background-color:rgb(= > 255,255,255);text-decoration-style:initial;text-decoration- > color:initial;fl= > oat:none;display:inline">-d</span></div></font></span><div><div > class=3D"h5= > "><div class=3D"gmail_extra"><br><div class=3D"gmail_quote">On Tue, Feb > 20,= > 2018 at 8:37 PM, Nathan Goldbaum <span dir=3D"ltr"><<a href=3D"mailto: > n= > athan12343(a)gmail.com" target=3D"_blank">nathan12343(a)gmail.com > </a>></span= > > wrote:<br><blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 > .8ex;bo= > rder-left:1px #ccc solid;padding-left:1ex"><div dir=3D"ltr"><div><div>Hi > Ja= > red,<br><br></div>Just a comment that for these really big particle > simulat= > ions the way yt currently supports particle data doesn't scale > terribly= > well, so you might run into either issues with operations taking a very > lo= > ng time or using too much RAM.<br><br></div><div>You may find it useful to > = > only load in data in a subset of the simulation domain to restrict the > numb= > er of particles yt is dealing with at any one time. This can be controlled > = > at a coarse level via the "bounding_box" keyword argument to the > = > load() function, in particular by supplying a bounding box that only > covers= > a portion of the domain. It might also help with RAM usage to supply > n_ref= > =3D16 instead of the default (32). There's more detail about what > these= > parameters do in the docs:<br><br><a href=3D"http://yt-project.org/ > docs/3.= > 4.1/examining/loading_data.html#gadget-data" target=3D"_blank"> > http://yt-pr= > oject.org/docs/3.4<wbr>.1/examining/loading_data.html< > wbr>#gadget-data</a><= > br><br></div><div>If you'd like you could also try the > "sph-viz&qu= > ot; branch on my fork of yt at <a href=3D"https://github.com/ngoldbaum/yt" > = > target=3D"_blank">https://github.com/ngoldbaum/y<wbr>t</a>. This branch > con= > tains an implementation of the next-generation support for particle data > in= > yt that is still under development. This version will scale much better > fo= > r a dataset as big as yours.<br><br></div><div>Best, > <br><br></div><div>Nath= > an<br></div></div><div class=3D"m_6788941403835052387m_- > 5788644225450873479= > HOEnZb"><div class=3D"m_6788941403835052387m_-5788644225450873479h5"><div > c= > lass=3D"gmail_extra"><br><div class=3D"gmail_quote">On Tue, Feb 20, 2018 > at= > 7:22 PM, Matthew Turk <span dir=3D"ltr"><<a href=3D"mailto: > matthewturk@= > gmail.com" target=3D"_blank">matthewturk(a)gmail.com</a>></span> > wrote:<br= > ><blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 > .8ex;border-left:1= > px #ccc solid;padding-left:1ex">Hi Jared,<br> > <br> > I know you can make the particle IDs work by specifying the dtype, but<br> > my reading of the _validate_header code is the same as yours.=C2=A0 I > think= > <br> > it would be a pretty straightforward change to conditionally make the<br> > 'I' read into the struct into a 64-bit variable, but it's not > t= > here<br> > now.<br> > <br> > -Matt<br> > <div><div class=3D"m_6788941403835052387m_-5788644225450873479m_ > 23635419532= > 30957494h5"><br> > On Tue, Feb 20, 2018 at 7:16 PM, Jared Coughlin<br> > <<a href=3D"mailto:Jared.W.Coughlin.29@nd.edu" > target=3D"_blank">Jared.W= > .Coughlin.29(a)nd.edu</a>> wrote:<br> > > Hello! I have a gadget snapshot file with 1024^3 particles. When I > tri= > ed to<br> > > load it with yt, yt fails by saying that it cannot identify the file > t= > ype. I<br> > > did some digging and found that the way yt validates a gadget > snapshot= > is by<br> > > reading the number of particles from the header and then comparing > tha= > t<br> > > number to the number derived from the size of the position block. > This= > size<br> > > is 1024^3 *3*4 (the number of particles times 3 positions times 4 > byte= > s per<br> > > position). However, as I just discovered, this number is larger than > t= > he max<br> > > value of an int in c, and so gadget writes a value of 0 due to the > ove= > rflow.<br> > > As such, I need to use gadget's unsigned long long int for the > pad= > ding, but<br> > > this is 8 bytes, not 4. I was just wondering if yt had some ability > to= > <br> > > detect the need to use something larger than an int? If not, I can > add= > it.<br> > > Thanks!<br> > > -Jared<br> > ><br> > </div></div>> ______________________________<wbr>_________________<br> > > yt-users mailing list -- <a href=3D"mailto:yt-users@python.org" > target= > =3D"_blank">yt-users(a)python.org</a><br> > > To unsubscribe send an email to <a href=3D"mailto:yt-users-leave@ > pytho= > n.org" target=3D"_blank">yt-users-leave(a)python.org</a><br> > ><br> > > ______________________________<wbr>_________________<br> > > yt-users mailing list -- <a href=3D"mailto:yt-users@python.org" > target= > =3D"_blank">yt-users(a)python.org</a><br> > > To unsubscribe send an email to <a href=3D"mailto:yt-users-leave@ > pytho= > n.org" target=3D"_blank">yt-users-leave(a)python.org</a><br> > ><br> > ______________________________<wbr>_________________<br> > yt-users mailing list -- <a href=3D"mailto:yt-users@python.org" > target=3D"_= > blank">yt-users(a)python.org</a><br> > To unsubscribe send an email to <a href=3D"mailto:yt-users-leave@ > python.org= > " target=3D"_blank">yt-users-leave(a)python.org</a><br> > ______________________________<wbr>_________________<br> > yt-users mailing list -- <a href=3D"mailto:yt-users@python.org" > target=3D"_= > blank">yt-users(a)python.org</a><br> > To unsubscribe send an email to <a href=3D"mailto:yt-users-leave@ > python.org= > " target=3D"_blank">yt-users-leave(a)python.org</a><br> > </blockquote></div><br></div> > </div></div><br>______________________________<wbr>_________________<br> > yt-users mailing list -- <a href=3D"mailto:yt-users@python.org" > target=3D"_= > blank">yt-users(a)python.org</a><br> > To unsubscribe send an email to <a href=3D"mailto:yt-users-leave@ > python.org= > " target=3D"_blank">yt-users-leave(a)python.org</a><br> > <br>______________________________<wbr>_________________<br> > yt-users mailing list -- <a href=3D"mailto:yt-users@python.org" > target=3D"_= > blank">yt-users(a)python.org</a><br> > To unsubscribe send an email to <a href=3D"mailto:yt-users-leave@ > python.org= > " target=3D"_blank">yt-users-leave(a)python.org</a><br> > <br></blockquote></div><br></div></div></div></div> > <br>______________________________<wbr>_________________<br> > yt-users mailing list -- <a href=3D"mailto:yt-users@python.org > ">yt-users@py= > thon.org</a><br> > To unsubscribe send an email to <a href=3D"mailto:yt-users-leave@ > python.org= > ">yt-users-leave(a)python.org</a><br> > <br>______________________________<wbr>_________________<br> > yt-users mailing list -- <a href=3D"mailto:yt-users@python.org > ">yt-users@py= > thon.org</a><br> > To unsubscribe send an email to <a href=3D"mailto:yt-users-leave@ > python.org= > ">yt-users-leave(a)python.org</a><br> > <br></blockquote></div><br></div> > > --94eb2c05f198e4c8590565af4076-- > > ------------------------------ > > Date: Wed, 21 Feb 2018 08:45:41 -0600 > From: Nathan Goldbaum <nathan12343(a)gmail.com> > Subject: [yt-users] Re: set ticks and label for AxesGrid colorbar > To: Discussion of the yt analysis package <yt-users(a)python.org> > Message-ID: > <CAJXewOmPkcsv6F+G74zwLEOEn-Qq294gMiyRVYPQoG1PqeT5nw@mail. > gmail.com> > Content-Type: multipart/alternative; > boundary="94eb2c1935b46c17a80565b9fc54" > > --94eb2c1935b46c17a80565b9fc54 > Content-Type: text/plain; charset="UTF-8" > Content-Transfer-Encoding: quoted-printable > > Is there any chance you can make a self-contained runnable example that > demonstrates the issue you are having? That will make it easier to > reproduce the issue and allow us to suggest a concrete modification. > > -Nathan > > On Tue, Feb 20, 2018 at 7:47 PM, Kazem Ardaneh <kazem.arrdaneh(a)gmail.com> > wrote: > > > Dear All, > > > > I have a question about costume ticks and ticks label in YT when we use > > AxesGrid. > > I have a plot > > =E2=80=8Bof =E2=80=8B > > density and velocity vectors as over plotted. I want to use a custom > > colorbar ticks and tickslablel. After setup the plots, I have used > > colorbar.set_ticks, and colorbar.set_ticklabels, where > colorbar=3Dplot.cb= > . > > However, they are not changed. Does anyone has a suggestion? > > > > > > > > Kazem > > > > _______________________________________________ > > yt-users mailing list -- yt-users(a)python.org > > To unsubscribe send an email to yt-users-leave(a)python.org > > > > _______________________________________________ > > yt-users mailing list -- yt-users(a)python.org > > To unsubscribe send an email to yt-users-leave(a)python.org > > > > > > --94eb2c1935b46c17a80565b9fc54 > Content-Type: text/html; charset="UTF-8" > Content-Transfer-Encoding: quoted-printable > > <div dir=3D"ltr"><div>Is there any chance you can make a self-contained > run= > nable example that demonstrates the issue you are having? That will make > it= > easier to reproduce the issue and allow us to suggest a concrete > modificat= > ion.<br></div><div><br></div>-Nathan<br></div><div > class=3D"gmail_extra"><b= > r><div class=3D"gmail_quote">On Tue, Feb 20, 2018 at 7:47 PM, Kazem > Ardaneh= > <span dir=3D"ltr"><<a href=3D"mailto:kazem.arrdaneh@gmail.com" target= > =3D"_blank">kazem.arrdaneh(a)gmail.com</a>></span> wrote:<br><blockquote > c= > lass=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1px #ccc > solid;= > padding-left:1ex"><div dir=3D"ltr">Dear All, <br><br>I have a question > abou= > t costume ticks and ticks label in YT when we use AxesGrid.<br>I have a > plo= > t <div class=3D"gmail_default" style=3D"font-size:small; > display:inline">=E2= > =80=8Bof =E2=80=8B</div>density and velocity vectors as over plotted. I > wan= > t to use a custom colorbar ticks and tickslablel. After setup the plots, I > = > have used colorbar.set_ticks, and colorbar.set_ticklabels, where colorbar= > =3Dplot.cb. However, they are not changed. Does anyone has a suggestion? > <s= > pan class=3D"HOEnZb"><font color=3D"#888888"><div class=3D"gmail_default" > s= > tyle=3D"font-size:small"><p style=3D"margin:0px;font- > stretch:normal;font-si= > ze:14px;line-height:normal;font-family:Menlo;color:rgb(205,121,35)"><span > s= > tyle=3D"font-variant-ligatures:no-common-ligatures; > color:rgb(0,0,0)"><br></= > span></p></div><div><div class=3D"m_6492320114560421087gmail-m_ > 626533431233= > 1061960gmail_signature"><div dir=3D"ltr"><div><div dir=3D"ltr"><div><div > di= > r=3D"ltr"><br>Kazem </div></div></div></div></div></div></div> > </font></span></div> > <br>______________________________<wbr>_________________<br> > yt-users mailing list -- <a href=3D"mailto:yt-users@python.org > ">yt-users@py= > thon.org</a><br> > To unsubscribe send an email to <a href=3D"mailto:yt-users-leave@ > python.org= > ">yt-users-leave(a)python.org</a><br> > <br>______________________________<wbr>_________________<br> > yt-users mailing list -- <a href=3D"mailto:yt-users@python.org > ">yt-users@py= > thon.org</a><br> > To unsubscribe send an email to <a href=3D"mailto:yt-users-leave@ > python.org= > ">yt-users-leave(a)python.org</a><br> > <br></blockquote></div><br></div> > > --94eb2c1935b46c17a80565b9fc54-- > > ------------------------------ > > Subject: Digest Footer > > _______________________________________________ > yt-users mailing list -- yt-users(a)python.org > To unsubscribe send an email to yt-users-leave(a)python.org > > > ------------------------------ > > End of yt-users Digest, Vol 120, Issue 10 > ***************************************** >

1 0

Loading a large gadget snapshot
by Jared Coughlin 21 Feb '18

21 Feb '18

Hello! I have a gadget snapshot file with 1024^3 particles. When I tried to load it with yt, yt fails by saying that it cannot identify the file type. I did some digging and found that the way yt validates a gadget snapshot is by reading the number of particles from the header and then comparing that number to the number derived from the size of the position block. This size is 1024^3 *3*4 (the number of particles times 3 positions times 4 bytes per position). However, as I just discovered, this number is larger than the max value of an int in c, and so gadget writes a value of 0 due to the overflow. As such, I need to use gadget's unsigned long long int for the padding, but this is 8 bytes, not 4. I was just wondering if yt had some ability to detect the need to use something larger than an int? If not, I can add it. Thanks! -Jared

4 6

Re: Error while running yt with MPI
by Nick Gnedin 21 Feb '18

21 Feb '18

It works now, thank you. On 2/21/2018 11:40 AM, Nathan Goldbaum wrote: > Hi Nick, > > Are you running yt 3.4.1? I'm pretty sure you're running into the bug > that was fixed by this pull request: > > https://github.com/yt-project/yt/pull/1538 > > We just released yt 3.4.1 last Friday and it should be available to > install via conda-forge: > > $ conda update -c conda-forge yt > > Hope that helps, > > Nathan > > On Wed, Feb 21, 2018 at 11:29 AM, Nick Gnedin <ngnedin(a)gmail.com > <mailto:ngnedin@gmail.com>> wrote: > > > Folks, > > I am trying to run yt halo finder with MPI, and I am encounter the > following error. Could you perhaps give me a hint how to debug it > further? > > Here is a simple script: > > ---- SCRIPT ------- > import yt > from yt.analysis_modules.halo_analysis.api import HaloCatalog > yt.enable_parallelism() > path = "." > aexp = "0.0802" > d = yt.load(path+"/rei10_a"+aexp +"/rei10_a"+aexp+".art") > hc = > HaloCatalog(data_ds=d,finder_method='hop',output_dir=path+"/a="+aexp+"/hop2",finder_kwargs={"dm_only":False,"ptype":"N-BODY"}) > hc.create() > ------------------- > > It runs just fine in a serial mode (with yt.enable_parallelism() > call commented out), but with MPI it gives a type error deep inside yt: > > ---- SERIAL OUTPUT ------- > /data/gnedin/REI/TMP >p hf.py > yt : [WARNING ] 2018-02-21 11:02:26,502 DeltaDC != 0, which implies > auni != abox. Be sure you understand which expansion parameter is > appropriate for your use! (Gnedin, Kravtsov, & Rudd 2011) > yt : [INFO ] 2018-02-21 11:02:26,520 Parameters: current_time > = 392162249.38323104 yr > yt : [INFO ] 2018-02-21 11:02:26,520 Parameters: > domain_dimensions = [64 64 64] > yt : [INFO ] 2018-02-21 11:02:26,521 Parameters: > domain_left_edge = [ 0. 0. 0.] > yt : [INFO ] 2018-02-21 11:02:26,521 Parameters: > domain_right_edge = [ 64. 64. 64.] > yt : [INFO ] 2018-02-21 11:02:26,522 Parameters: > cosmological_simulation = True > yt : [INFO ] 2018-02-21 11:02:26,522 Parameters: > current_redshift = 11.470684242933336 > yt : [INFO ] 2018-02-21 11:02:26,522 Parameters: omega_lambda > = 0.6964000165462494 > yt : [INFO ] 2018-02-21 11:02:26,522 Parameters: omega_matter > = 0.3035999834537506 > yt : [INFO ] 2018-02-21 11:02:26,522 Parameters: > hubble_constant = 0.6814000010490417 > yt : [INFO ] 2018-02-21 11:02:34,808 Created 256 chunks for ARTIO > yt : [INFO ] 2018-02-21 11:02:38,656 Initializing HOP > yt : [INFO ] 2018-02-21 11:02:38,658 Created 256 chunks for ARTIO > Copying arrays for 16777216 particles > Calling hop... 16777216 1.600e+02 > nSmooth = 65 kd->nActive = 16777216 > Building Tree... > Finding Densities... > Finding Densest Neighbors... > Grouping... > Merging Groups... > Writing Output... > All Done!Calling regroup... > No minimum group size specified. Assuming 10 particles. > ngroups = 51045 > yt : [INFO ] 2018-02-21 11:07:11,099 Parsing outputs > yt : [INFO ] 2018-02-21 11:07:38,770 Parameters: current_time > = 0.0 > yt : [INFO ] 2018-02-21 11:07:38,770 Parameters: > domain_dimensions = [2 2 2] > yt : [INFO ] 2018-02-21 11:07:38,770 Parameters: > domain_left_edge = [ 0. 0. 0.] > yt : [INFO ] 2018-02-21 11:07:38,771 Parameters: > domain_right_edge = [ 3.56553853e+24 3.56553853e+24 > 3.56553853e+24] > yt : [INFO ] 2018-02-21 11:07:38,771 Parameters: > cosmological_simulation = 0.0 > yt : [INFO ] 2018-02-21 11:07:38,789 Allocating for 3.240e+02 > particles (index particle type 'all') > yt : [INFO ] 2018-02-21 11:07:38,790 Identified 1.700e+01 octs > /data/gnedin/soft/anaconda3/lib/python3.6/site-packages/yt/units/yt_array.py:990: > RuntimeWarning: divide by zero encountered in true_divide > return super(YTArray, self).__truediv__(ro) > yt : [INFO ] 2018-02-21 11:07:39,223 Saving halo catalog (324 > halos) to ./a=0.0802/hop/hop. > --------------------------- > > ------ MPI OUTPUT --------- > /data/gnedin/REI/TMP >/data/gnedin/soft/anaconda3/bin/mpirun -n 2 > /data/gnedin/soft/anaconda3/bin/python3 hf.py > yt : [INFO ] 2018-02-21 11:20:47,675 Global parallel computation > enabled: 0 / 2 > yt : [INFO ] 2018-02-21 11:20:47,676 Global parallel computation > enabled: 1 / 2 > P000 yt : [WARNING ] 2018-02-21 11:20:47,681 DeltaDC != 0, which > implies auni != abox. Be sure you understand which expansion > parameter is appropriate for your use! (Gnedin, Kravtsov, & Rudd 2011) > P001 yt : [WARNING ] 2018-02-21 11:20:47,687 DeltaDC != 0, which > implies auni != abox. Be sure you understand which expansion > parameter is appropriate for your use! (Gnedin, Kravtsov, & Rudd 2011) > P000 yt : [INFO ] 2018-02-21 11:20:47,691 Parameters: > current_time = 392162249.38323104 yr > P000 yt : [INFO ] 2018-02-21 11:20:47,691 Parameters: > domain_dimensions = [64 64 64] > P000 yt : [INFO ] 2018-02-21 11:20:47,692 Parameters: > domain_left_edge = [ 0. 0. 0.] > P000 yt : [INFO ] 2018-02-21 11:20:47,692 Parameters: > domain_right_edge = [ 64. 64. 64.] > P000 yt : [INFO ] 2018-02-21 11:20:47,692 Parameters: > cosmological_simulation = True > P000 yt : [INFO ] 2018-02-21 11:20:47,692 Parameters: > current_redshift = 11.470684242933336 > P000 yt : [INFO ] 2018-02-21 11:20:47,692 Parameters: > omega_lambda = 0.6964000165462494 > P000 yt : [INFO ] 2018-02-21 11:20:47,692 Parameters: > omega_matter = 0.3035999834537506 > P000 yt : [INFO ] 2018-02-21 11:20:47,692 Parameters: > hubble_constant = 0.6814000010490417 > File "hf.py", line 15, in <module> > hc.create() > File > "/data/gnedin/soft/anaconda3/lib/python3.6/site-packages/yt/analysis_modules/halo_analysis/halo_catalog.py", > line 334, in create > self._run(save_halos, save_catalog, njobs=njobs, dynamic=dynamic) > File > "/data/gnedin/soft/anaconda3/lib/python3.6/site-packages/yt/utilities/parallel_tools/parallel_analysis_interface.py", > line 306, in barrierize > retval = func(*args, **kwargs) > File > "/data/gnedin/soft/anaconda3/lib/python3.6/site-packages/yt/analysis_modules/halo_analysis/halo_catalog.py", > line 403, in _run > self.halos_ds = self.finder_method(self.data_ds) > File > "/data/gnedin/soft/anaconda3/lib/python3.6/site-packages/yt/analysis_modules/halo_analysis/halo_finding_methods.py", > line 44, in __call__ > return self.function(ds, *self.args, **self.kwargs) > File > "/data/gnedin/soft/anaconda3/lib/python3.6/site-packages/yt/analysis_modules/halo_analysis/halo_finding_methods.py", > line 51, in _hop_method > halo_list = HOPHaloFinder(ds, **finder_kwargs) > File > "/data/gnedin/soft/anaconda3/lib/python3.6/site-packages/yt/analysis_modules/halo_finding/halo_objects.py", > line 1483, in __init__ > padding=self.padding) > File > "/data/gnedin/soft/anaconda3/lib/python3.6/site-packages/yt/utilities/parallel_tools/parallel_analysis_interface.py", > line 1191, in partition_index_3d > cx, cy, cz = np.unravel_index(mi, cc) > File "hf.py", line 15, in <module> > hc.create() > File > "/data/gnedin/soft/anaconda3/lib/python3.6/site-packages/yt/analysis_modules/halo_analysis/halo_catalog.py", > line 334, in create > self._run(save_halos, save_catalog, njobs=njobs, dynamic=dynamic) > File > "/data/gnedin/soft/anaconda3/lib/python3.6/site-packages/yt/utilities/parallel_tools/parallel_analysis_interface.py", > line 306, in barrierize > retval = func(*args, **kwargs) > File > "/data/gnedin/soft/anaconda3/lib/python3.6/site-packages/yt/analysis_modules/halo_analysis/halo_catalog.py", > line 403, in _run > self.halos_ds = self.finder_method(self.data_ds) > File > "/data/gnedin/soft/anaconda3/lib/python3.6/site-packages/yt/analysis_modules/halo_analysis/halo_finding_methods.py", > line 44, in __call__ > return self.function(ds, *self.args, **self.kwargs) > File > "/data/gnedin/soft/anaconda3/lib/python3.6/site-packages/yt/analysis_modules/halo_analysis/halo_finding_methods.py", > line 51, in _hop_method > halo_list = HOPHaloFinder(ds, **finder_kwargs) > File > "/data/gnedin/soft/anaconda3/lib/python3.6/site-packages/yt/analysis_modules/halo_finding/halo_objects.py", > line 1483, in __init__ > padding=self.padding) > File > "/data/gnedin/soft/anaconda3/lib/python3.6/site-packages/yt/utilities/parallel_tools/parallel_analysis_interface.py", > line 1191, in partition_index_3d > cx, cy, cz = np.unravel_index(mi, cc) > P000 yt : [ERROR ] 2018-02-21 11:20:48,807 TypeError: Iterator > operand 0 dtype could not be cast from dtype('float64') to > dtype('int64') according to the rule 'same_kind' > P000 yt : [ERROR ] 2018-02-21 11:20:48,807 Error occured on rank 0. > application called MPI_Abort(MPI_COMM_WORLD, 1) - process 0 > P001 yt : [ERROR ] 2018-02-21 11:20:48,807 TypeError: Iterator > operand 0 dtype could not be cast from dtype('float64') to > dtype('int64') according to the rule 'same_kind' > P001 yt : [ERROR ] 2018-02-21 11:20:48,807 Error occured on rank 1. > application called MPI_Abort(MPI_COMM_WORLD, 1) - process 1 > ------------------------------------- > > > Any suggestion would be highly appreciated. > > Nick Gnedin > > _______________________________________________ > yt-users mailing list -- yt-users(a)python.org > <mailto:yt-users@python.org> > To unsubscribe send an email to yt-users-leave(a)python.org > <mailto:yt-users-leave@python.org> > _______________________________________________ > yt-users mailing list -- yt-users(a)python.org > <mailto:yt-users@python.org> > To unsubscribe send an email to yt-users-leave(a)python.org > <mailto:yt-users-leave@python.org> > >

1 0

Error while running yt with MPI
by Nick Gnedin 21 Feb '18

21 Feb '18

Folks, I am trying to run yt halo finder with MPI, and I am encounter the following error. Could you perhaps give me a hint how to debug it further? Here is a simple script: ---- SCRIPT ------- import yt from yt.analysis_modules.halo_analysis.api import HaloCatalog yt.enable_parallelism() path = "." aexp = "0.0802" d = yt.load(path+"/rei10_a"+aexp +"/rei10_a"+aexp+".art") hc = HaloCatalog(data_ds=d,finder_method='hop',output_dir=path+"/a="+aexp+"/hop2",finder_kwargs={"dm_only":False,"ptype":"N-BODY"}) hc.create() ------------------- It runs just fine in a serial mode (with yt.enable_parallelism() call commented out), but with MPI it gives a type error deep inside yt: ---- SERIAL OUTPUT ------- /data/gnedin/REI/TMP >p hf.py yt : [WARNING ] 2018-02-21 11:02:26,502 DeltaDC != 0, which implies auni != abox. Be sure you understand which expansion parameter is appropriate for your use! (Gnedin, Kravtsov, & Rudd 2011) yt : [INFO ] 2018-02-21 11:02:26,520 Parameters: current_time = 392162249.38323104 yr yt : [INFO ] 2018-02-21 11:02:26,520 Parameters: domain_dimensions = [64 64 64] yt : [INFO ] 2018-02-21 11:02:26,521 Parameters: domain_left_edge = [ 0. 0. 0.] yt : [INFO ] 2018-02-21 11:02:26,521 Parameters: domain_right_edge = [ 64. 64. 64.] yt : [INFO ] 2018-02-21 11:02:26,522 Parameters: cosmological_simulation = True yt : [INFO ] 2018-02-21 11:02:26,522 Parameters: current_redshift = 11.470684242933336 yt : [INFO ] 2018-02-21 11:02:26,522 Parameters: omega_lambda = 0.6964000165462494 yt : [INFO ] 2018-02-21 11:02:26,522 Parameters: omega_matter = 0.3035999834537506 yt : [INFO ] 2018-02-21 11:02:26,522 Parameters: hubble_constant = 0.6814000010490417 yt : [INFO ] 2018-02-21 11:02:34,808 Created 256 chunks for ARTIO yt : [INFO ] 2018-02-21 11:02:38,656 Initializing HOP yt : [INFO ] 2018-02-21 11:02:38,658 Created 256 chunks for ARTIO Copying arrays for 16777216 particles Calling hop... 16777216 1.600e+02 nSmooth = 65 kd->nActive = 16777216 Building Tree... Finding Densities... Finding Densest Neighbors... Grouping... Merging Groups... Writing Output... All Done!Calling regroup... No minimum group size specified. Assuming 10 particles. ngroups = 51045 yt : [INFO ] 2018-02-21 11:07:11,099 Parsing outputs yt : [INFO ] 2018-02-21 11:07:38,770 Parameters: current_time = 0.0 yt : [INFO ] 2018-02-21 11:07:38,770 Parameters: domain_dimensions = [2 2 2] yt : [INFO ] 2018-02-21 11:07:38,770 Parameters: domain_left_edge = [ 0. 0. 0.] yt : [INFO ] 2018-02-21 11:07:38,771 Parameters: domain_right_edge = [ 3.56553853e+24 3.56553853e+24 3.56553853e+24] yt : [INFO ] 2018-02-21 11:07:38,771 Parameters: cosmological_simulation = 0.0 yt : [INFO ] 2018-02-21 11:07:38,789 Allocating for 3.240e+02 particles (index particle type 'all') yt : [INFO ] 2018-02-21 11:07:38,790 Identified 1.700e+01 octs /data/gnedin/soft/anaconda3/lib/python3.6/site-packages/yt/units/yt_array.py:990: RuntimeWarning: divide by zero encountered in true_divide return super(YTArray, self).__truediv__(ro) yt : [INFO ] 2018-02-21 11:07:39,223 Saving halo catalog (324 halos) to ./a=0.0802/hop/hop. --------------------------- ------ MPI OUTPUT --------- /data/gnedin/REI/TMP >/data/gnedin/soft/anaconda3/bin/mpirun -n 2 /data/gnedin/soft/anaconda3/bin/python3 hf.py yt : [INFO ] 2018-02-21 11:20:47,675 Global parallel computation enabled: 0 / 2 yt : [INFO ] 2018-02-21 11:20:47,676 Global parallel computation enabled: 1 / 2 P000 yt : [WARNING ] 2018-02-21 11:20:47,681 DeltaDC != 0, which implies auni != abox. Be sure you understand which expansion parameter is appropriate for your use! (Gnedin, Kravtsov, & Rudd 2011) P001 yt : [WARNING ] 2018-02-21 11:20:47,687 DeltaDC != 0, which implies auni != abox. Be sure you understand which expansion parameter is appropriate for your use! (Gnedin, Kravtsov, & Rudd 2011) P000 yt : [INFO ] 2018-02-21 11:20:47,691 Parameters: current_time = 392162249.38323104 yr P000 yt : [INFO ] 2018-02-21 11:20:47,691 Parameters: domain_dimensions = [64 64 64] P000 yt : [INFO ] 2018-02-21 11:20:47,692 Parameters: domain_left_edge = [ 0. 0. 0.] P000 yt : [INFO ] 2018-02-21 11:20:47,692 Parameters: domain_right_edge = [ 64. 64. 64.] P000 yt : [INFO ] 2018-02-21 11:20:47,692 Parameters: cosmological_simulation = True P000 yt : [INFO ] 2018-02-21 11:20:47,692 Parameters: current_redshift = 11.470684242933336 P000 yt : [INFO ] 2018-02-21 11:20:47,692 Parameters: omega_lambda = 0.6964000165462494 P000 yt : [INFO ] 2018-02-21 11:20:47,692 Parameters: omega_matter = 0.3035999834537506 P000 yt : [INFO ] 2018-02-21 11:20:47,692 Parameters: hubble_constant = 0.6814000010490417 File "hf.py", line 15, in <module> hc.create() File "/data/gnedin/soft/anaconda3/lib/python3.6/site-packages/yt/analysis_modules/halo_analysis/halo_catalog.py", line 334, in create self._run(save_halos, save_catalog, njobs=njobs, dynamic=dynamic) File "/data/gnedin/soft/anaconda3/lib/python3.6/site-packages/yt/utilities/parallel_tools/parallel_analysis_interface.py", line 306, in barrierize retval = func(*args, **kwargs) File "/data/gnedin/soft/anaconda3/lib/python3.6/site-packages/yt/analysis_modules/halo_analysis/halo_catalog.py", line 403, in _run self.halos_ds = self.finder_method(self.data_ds) File "/data/gnedin/soft/anaconda3/lib/python3.6/site-packages/yt/analysis_modules/halo_analysis/halo_finding_methods.py", line 44, in __call__ return self.function(ds, *self.args, **self.kwargs) File "/data/gnedin/soft/anaconda3/lib/python3.6/site-packages/yt/analysis_modules/halo_analysis/halo_finding_methods.py", line 51, in _hop_method halo_list = HOPHaloFinder(ds, **finder_kwargs) File "/data/gnedin/soft/anaconda3/lib/python3.6/site-packages/yt/analysis_modules/halo_finding/halo_objects.py", line 1483, in __init__ padding=self.padding) File "/data/gnedin/soft/anaconda3/lib/python3.6/site-packages/yt/utilities/parallel_tools/parallel_analysis_interface.py", line 1191, in partition_index_3d cx, cy, cz = np.unravel_index(mi, cc) File "hf.py", line 15, in <module> hc.create() File "/data/gnedin/soft/anaconda3/lib/python3.6/site-packages/yt/analysis_modules/halo_analysis/halo_catalog.py", line 334, in create self._run(save_halos, save_catalog, njobs=njobs, dynamic=dynamic) File "/data/gnedin/soft/anaconda3/lib/python3.6/site-packages/yt/utilities/parallel_tools/parallel_analysis_interface.py", line 306, in barrierize retval = func(*args, **kwargs) File "/data/gnedin/soft/anaconda3/lib/python3.6/site-packages/yt/analysis_modules/halo_analysis/halo_catalog.py", line 403, in _run self.halos_ds = self.finder_method(self.data_ds) File "/data/gnedin/soft/anaconda3/lib/python3.6/site-packages/yt/analysis_modules/halo_analysis/halo_finding_methods.py", line 44, in __call__ return self.function(ds, *self.args, **self.kwargs) File "/data/gnedin/soft/anaconda3/lib/python3.6/site-packages/yt/analysis_modules/halo_analysis/halo_finding_methods.py", line 51, in _hop_method halo_list = HOPHaloFinder(ds, **finder_kwargs) File "/data/gnedin/soft/anaconda3/lib/python3.6/site-packages/yt/analysis_modules/halo_finding/halo_objects.py", line 1483, in __init__ padding=self.padding) File "/data/gnedin/soft/anaconda3/lib/python3.6/site-packages/yt/utilities/parallel_tools/parallel_analysis_interface.py", line 1191, in partition_index_3d cx, cy, cz = np.unravel_index(mi, cc) P000 yt : [ERROR ] 2018-02-21 11:20:48,807 TypeError: Iterator operand 0 dtype could not be cast from dtype('float64') to dtype('int64') according to the rule 'same_kind' P000 yt : [ERROR ] 2018-02-21 11:20:48,807 Error occured on rank 0. application called MPI_Abort(MPI_COMM_WORLD, 1) - process 0 P001 yt : [ERROR ] 2018-02-21 11:20:48,807 TypeError: Iterator operand 0 dtype could not be cast from dtype('float64') to dtype('int64') according to the rule 'same_kind' P001 yt : [ERROR ] 2018-02-21 11:20:48,807 Error occured on rank 1. application called MPI_Abort(MPI_COMM_WORLD, 1) - process 1 ------------------------------------- Any suggestion would be highly appreciated. Nick Gnedin

2 1

set ticks and label for AxesGrid colorbar
by Kazem Ardaneh 21 Feb '18

21 Feb '18

Dear All, I have a question about costume ticks and ticks label in YT when we use AxesGrid. I have a plot of density and velocity vectors as over plotted. I want to use a custom colorbar ticks and tickslablel. After setup the plots, I have used colorbar.set_ticks, and colorbar.set_ticklabels, where colorbar=plot.cb. However, they are not changed. Does anyone has a suggestion? Kazem

2 1

Axis in streamline plotting
by Sushilkumar 20 Feb '18

20 Feb '18

Dear yt: Is there a way to have normalized axis units for streamline plotting? I want my x axis (xmin, xmax) to be in the units of (xmin/30, xmax/30). Similarly, for y axis. Thank you in advance SCRIPT: import yt import numpy as np import os import matplotlib.pyplot as plt import matplotlib ms = 24000000 vector_max=ms-(ms/3) ms1=ms-vector_max dims = (200,200,200) x = np.genfromtxt("/work/jbi157/MODEL7/UPDATE_B/yo_n_t105.mtx",skip_header=2,usecols=1, dtype="f8") x = x.reshape((8000000, 3), order="F") field1 = x[:,2].reshape(dims, order="F") field2 = x[:,1].reshape(dims, order="F") field3 = x[:,0].reshape(dims, order="F") data = dict(velocity_x = field1, velocity_y = field2, velocity_z = field3) bbox = np.array([[-100, 99], [-100, 99], [-100, 99]]) ds = yt.load_uniform_grid(data, dims, 'km', bbox=bbox, nprocs=1) L = [0, 1, 0] north_vector = [0.87, 0, 0.5] slc = yt.OffAxisSlicePlot(ds, L, 'cutting_plane_velocity_x', center=[0,0,0], width=(180,'km'), north_vector=north_vector) vel = slc._frb['velocity_magnitude'] U = slc._frb['cutting_plane_velocity_y'] V = slc._frb['cutting_plane_velocity_x'] extentx = [slc.xlim[i].in_units('km') for i in (0, 1)] extenty = [slc.ylim[i].in_units('km') for i in (0, 1)] extent = extentx + extenty x = np.linspace(extentx[0], extentx[1], vel.shape[0]) y = np.linspace(extenty[1], extenty[0], vel.shape[1]) X, Y = np.meshgrid(x, y) normalize = False # Turn off normalize if you use streamplot if normalize is True: N = np.sqrt(U**2+V**2) U /= N V /= N else: U = U.d V = V.d factor = 40 #norm = matplotlib.colors.Normalize(vmin=vel.min(), vmax=vel.max(), clip=True) #norm = matplotlib.colors.LogNorm(vmin=vel.min(), vmax=vel.max(), clip=True) #norm = matplotlib.colors.NoNorm(vmin=vel.min(), vmax=vel.max(), clip=True) #norm = matplotlib.colors.PowerNorm(gamma=0.5,vmin=vel.min(), vmax=vel.max(), clip=True) norm = matplotlib.colors.SymLogNorm(linthresh=0.01,vmin=vel.min(), vmax=vel.max(), clip=True) plt.streamplot(np.array(X),np.array(Y),np.array(U),np.array(V), density=2,color='blue') # Here density adjusts the density of streamlines #plt.imshow(vel.d, extent=extent, norm=norm) #plt.imshow(vel.d, extent=extent, norm=norm, cmap='seismic') plt.imshow(vel.d, extent=extent, norm=norm, cmap=plt.cm.coolwarm) circle=plt.Circle((0,0),9,color='gray') fig = plt.gcf() fig.gca().add_artist(circle) plt.colorbar() #plt.title("Angle = 45$^{\circ}$, Grid size = 200\n Power Normalize, Gamma = 0.5") #plt.title("Angle = 45$^{\circ}$, Grid size = 200\n Linear Normalize") plt.title("Angle = 60$^{\circ}$, x-z plane") plt.axis([-72, 72, -72, 72]) plt.axis('off') #plt.savefig('stream_plot_Norm.png') #plt.savefig('stream_plot_LogNorm.png') #plt.savefig('stream_plot_NoNorm.png') #plt.savefig('stream_plot_PowerNorm.png') plt.savefig('stream_plot_t0105.png') -- *SK2* *"**Claiming that something can move faster than light is a good conversation-stopper in physics. People edge away from you in cocktail parties; friends never return phone calls. You just don’t mess with Albert Einstein.**"*

1 0

volume rendering with streamlines?
by astroodie＠gmail.com 20 Feb '18

20 Feb '18

Hello, I knew that I could use annotate_magnetic_field(), annotate_streamlines(), annotate_line_integral_convolution(), or annotate_cquiver() for 2D plots, and yt.visualization.api, Streamlines for 3D stream lines (with Axes3D, ugly). Is it possible to plot streamlines/vectors (magnetic field or velocity field) together with a volume rendering plot (not Isocontours)? Many thanks, Kuo-Chuan

3 2

ANN: yt 3.4.1 releaed
by Nathan Goldbaum 16 Feb '18

16 Feb '18

yt 3.4.1 release notes The yt community is proud to announce the release of yt 3.4.1. This is a patch release and includes a number of improvements and bugfixes. Note that one of the bugs fixed in this release silently produced invalid results for the values of certain yt fields. See the release notes below for more details. yt (https://yt-project.org) is an open source, community developed toolkit for the analysis and visualization of volumetric data. Development is hosted on GitHub (https://github.com/yt-project/yt). This release includes contributions from 20 contributors, five of whom contributed for the first time: - *Christoph Behrens* - *Josh Borrow* - Corentin Cadiou - Yi-Hao Chen - Bili Dong - Nathan Goldbaum - Philipp Grete - *Stephanie Ho* - Cameron Hummels - Suoqing Ji - Max Katz - Kacper Kowalik - Andrew Myers - Hugo Pfister - Justin Schive - Britton Smith - *Josh Soref* - Matthew Turk - *Daniel Wilcox* - John ZuHone The bolded names indicate first-time contributors. We extend our sincere gratitude to everyone who has contributed! See the changelog below for a summary of new features, changes, and bugfixes. For more information, including installation instructions, links to community resources, and information on contributing to yt’s development, please see the yt homepage at http://yt-project.org and the documentation for yt 3.4.1 at http://yt-project.org/docs/3.4.1. Binaries for yt 3.4.1 are available via pip and conda. If you installed via the install script or use conda to manage your python installation, you can update yt via: $ conda update -c conda-forge yt And via pip if you manage your python installation with pip: $ pip install -U yt As always, if you have any questions, concerns, or run into any trouble updating please don’t hesitate to send a message to the mailing list or stop by our Slack or IRC channel. yt is the product of a large community of developers and users and we are extraordinarily grateful for and proud of their contributions. Please forward this announcement on to any interested parties. Best, The yt development team <https://hackmd.io/CYMwhgjGYBzAtAUwGwQEbwCwFYQbIgMabwAMYAnMmoYQOywgDMQA?both…>Critical Bugfixes - The data returned by fields corresponding to the theta or phi component of a vector field in spherical coordinates or the theta component in cylindrical coordinates, including velocity_spherical_theta, velocity_spherical_phi, and velocity_cylindrical_theta as well as the corresponding magnetic field components have been silently returning incorrect results. If you are doing analysis using those fields we strongly encourage you to update to this latest release to get fixed versions of these fields. See PR 1687 <https://github.com/yt-project/yt/pull/1687>. - Define the code_specific_energy unit and ds.specific_energy_unit attribute. This allows user control over the value of the specific energy unit independent of the velocity unit and fixes an inconsistency in the units of the Gadget internal energy and temperature fields. See PR 1611 <https://github.com/yt-project/yt/pull/1611> and PR 1675 <https://github.com/yt-project/yt/pull/1675>. - Numpy 1.14.0 introduced changes to array printing which caused recursion errors when printing a YTArray instance. This will be fixed upstream in 1.14.1 but we have also restored support for NumPy 1.14.0 in yt by avoiding triggering the error. See PR 1661 <https://github.com/yt-project/yt/pull/1661>. <https://hackmd.io/CYMwhgjGYBzAtAUwGwQEbwCwFYQbIgMabwAMYAnMmoYQOywgDMQA?both…>Minor Improvements and Bugfixes - Halo finders can now run in parallel on Python 3. See PR 1538 <https://github.com/yt-project/yt/pull/1538> and pPR 1690]( https://github.com/yt-project/yt/pull/1690). - The QT5 backend can now be used to display yt plots interactively. See PR 1540 <https://github.com/yt-project/yt/pull/1540>. - A number of misspellings across the codebase and documentation have been corrected. See PR 1542 <https://github.com/yt-project/yt/pull/1542> and PR 1575 <https://github.com/yt-project/yt/pull/1575>. - An off-by-one error in the particle_filter_sfr.py cookbook recipe has been fixed. See PR 1547 <https://github.com/yt-project/yt/pull/1547>. - The tipsy frontend will ignore invalid auxiliary files instead of raising an exception. See PR 1549 <https://github.com/yt-project/yt/pull/1549>. - Fixed a typo in the Gadget header specification. See PR 1550 <https://github.com/yt-project/yt/pull/1550>. - Parse units more gracefully in the FITS frontend. See PR 1553 <https://github.com/yt-project/yt/pull/1553>. - Handle units more gracefully when calculating quantities in the halo catalog. See PR 1558 <https://github.com/yt-project/yt/pull/1558>. - Ensure the PPVCube functionality works when a temperature field is not present. See PR 1562 <https://github.com/yt-project/yt/pull/1562>. - Avoid an error when saving spatial fields for a clump data object. See PR 1567 <https://github.com/yt-project/yt/pull/1567>. - ProfilePlot.set_unit and PhasePlot.set_unit will now handle tuple field names correctly. See PR 1568 <https://github.com/yt-project/yt/pull/1568>. - Properly set attributes when reloading ytdata datasets generated from an arbitrary_grid data object. See PR 1569 <https://github.com/yt-project/yt/pull/1569>. - Fix units in light cone projection. See PR 1574 <https://github.com/yt-project/yt/pull/1574>. - Allow loading Gadget datasets when some cosmology parameters are not present in the header. See PR 1578 <https://github.com/yt-project/yt/pull/1578>. - Correct typo in WarpX field definitions. See PR 1583 <https://github.com/yt-project/yt/pull/1583>. - Fix corner case in parsing Enzo parameter files. See PR 1586 <https://github.com/yt-project/yt/pull/1586>. - Ensure clump parents ids are updated correctly when child clumps are pruned. See PR 1587 <https://github.com/yt-project/yt/pull/1587>. - Ensure the bulk_magnetic_field field parameter is always set to a null default value if it is not otherwise explicitly set. See PR 1588 <https://github.com/yt-project/yt/pull/1588>. - Prevent NaNs from polluting profile calculations when the profile weight field has values equal to zero. See PR 1590 <https://github.com/yt-project/yt/pull/1590>. - Ensure _switch_ds() works with ParticleProjectionPlot. See PR 1594 <https://github.com/yt-project/yt/pull/1594>. - Fix the colors of the axes triad generated by the volume rendering annotate_axes helper function. See PR 1596 <https://github.com/yt-project/yt/pull/1596>. - Fix zooming of slices and projections of data with a 2D cylindrical geometry. See PR 1597 <https://github.com/yt-project/yt/pull/1597>. - Ensure field accesses on 2D grid data objects return data with a dummy dimension. See PR 1603 <https://github.com/yt-project/yt/pull/1603>. - Fix broken links in the documentation. See PR 1615 <https://github.com/yt-project/yt/pull/1615> and PR 1627 <https://github.com/yt-project/yt/pull/1627>. - Avoid errors when parsing boolean parameters in the Boxlib frontend. See PR 1619 <https://github.com/yt-project/yt/pull/1619>. - Populate the _particle_type_counts dictionary for AMReX datasets. This means that ds.particle_type_counts will function correctly. See PR 1621 <https://github.com/yt-project/yt/pull/1621>. - Ensure the "rad" (an alias to the "radian" unit defined for compatibility with Astropy) has the correct dimensions of angle instead of solid angle. See PR 1628 <https://github.com/yt-project/yt/pull/1628>. - Fix unit conversion issue in the annotate_quiver plot callback. See PR 1633 <https://github.com/yt-project/yt/pull/1633>. - Fix unit conversion error in deposited particle velocity and age fields. See PR 1638 <https://github.com/yt-project/yt/pull/1638>. - Added deprecation warnings for the LightRay and AbsorptionSpectrum functionality. Development of this functionality has moved to the Trident package. See PR 1644 <https://github.com/yt-project/yt/pull/1644>. - Support new AMReX particle data files with 5 digit IDs. See PR 1653 <https://github.com/yt-project/yt/pull/1653>. - Handle reloading pickle files with very early YTArray data. See PR 1656 <https://github.com/yt-project/yt/pull/1656>. - Fix initializing species charge and mass fields in the AMReX frontend. See PR 1658 <https://github.com/yt-project/yt/pull/1658>. - Keep units for domain edges when saving ytdata datasets from a FixedResolutionBuffer object. See PR 1659 <https://github.com/yt-project/yt/pull/1659>. - Use the correct matplotlib keyword argument name when specifying contour colors. See PR 1664 <https://github.com/yt-project/yt/pull/1664>. - Support Enzo active particle fields that map to arrays. See PR 1665 <https://github.com/yt-project/yt/pull/1665>. - Use a smarter algorithm for clipping particle positions to the domain boundaries in the rockstar halo finder. See PR 1679 <https://github.com/yt-project/yt/pull/1679>. - Make the annotate_clumps plot callback work correctly with reloaded ytdata clump datasets. See PR 1683 <https://github.com/yt-project/yt/pull/1683>. - Calculate velocity vector components without using the velocity_magnitude field. This avoids inconsistencies when the bulk_velocity field parameter is set to a nonzero value. See PR 1688 <https://github.com/yt-project/yt/pull/1688>. - Avoid truncating Gadget particle IDs by casting from uint32 to float32. See PR 1692 <https://github.com/yt-project/yt/pull/1692>.

1 0

Attached velocity arrows to particles
by John Regan 15 Feb '18

15 Feb '18

Hi Guys, Just wondering if anyone knows how to attach velocity magnitude arrows to particles (e.g. star particles)? There are the annotate callbacks to place particles on top of gas fields but can I then somehow also view the particle velocity magnitudes. Any tips much appreciated. Cheers, John

2 2

Work on yt this summer for Google Summer of Code 2018
by Nathan Goldbaum 12 Feb '18

12 Feb '18

Hi all, We will be participating in the NumFOCUS google summer of code org this year. Interested students will be able to spend 10 weeks this summer improving yt. We have three project ideas on our google summer of code repository on GitHub along with detailed instructions on how to apply: https://github.com/yt-project/gsoc-2018 https://github.com/yt-project/gsoc-2018#project-ideas https://github.com/yt-project/gsoc-2018#applying Applications are due March 27, 2018. To apply for google summer of code you must be enrolled as an undergraduate or graduate student at an accredited university. The stipend scales with cost of living, but goes from ~$2400 (in e.g. India) to ~$6600 (in e.g. the USA). During the course of the program, the student is expected to work full time on their summer of code project as an independent contractor funded by Google. A successful applicant will make themselves visible to the yt developer community and will reach out to us on our developer mailing list. We also have a requirement that the applicant must submit and merge at least one pull request before we approve your application. We strongly encourage applicants to contact their prospective mentor to ask questions about their application and iterate on drafts well before the deadline. If you know anyone who might be interested in this opportunity, please forward this e-mail to them. I'm happy to answer questions via e-mail. Best, Nathan Goldbaum

1 0

YT-2.3 install
by nirmit sakre 12 Feb '18

12 Feb '18

Hello yt-users, I would like to install yt version 2.3 in order to run some old python scripts. I was not able to get yt older version. Could anyone direct me to the correct destination for 2.3 installation. cheers, Nirmit

2 1

Projection Plot with Multi-File Gadget Snapshot
by Jared Coughlin 09 Feb '18

09 Feb '18

Hello! Maybe I'm just missing this in the docs, but I'm having trouble making a projection plot when the gadget snapshots are split into multiple files (i.e. I have snapshot_000.0, snapshot_000.1, etc.). If I try to load anything other than snapshot_000.* with yt.load, I get an error that the file does not exist, but loading with snapshot_000.* creates a DataSeries object. I'm just not sure how to combine all of these series elements into a single plot, as it seems like the plot gets overwritten if I do: for ds in ts: prj = yt.ProjectionPlot(ds,...). I thought about creating my prj object with ts[0] outside the loop, but I couldn't figure out how to add the rest series elements to this plot object. Thank you! Sincerely, -Jared

2 4

Error in streamline plotting
by Sushilkumar 06 Feb '18

06 Feb '18

Dear Nathan: Thanks that worked. Also could you let me know the difference between the normal vector and north vector in offaxissliceplot. I had done it earlier but seemed to have forgotten. What choice of normal vector and north vector do I use if I want for example an xz plot inclined at 60 degrees? On Sun, Feb 4, 2018 at 11:00 AM, <yt-users-request(a)python.org> wrote: > Send yt-users mailing list submissions to > yt-users(a)python.org > > To subscribe or unsubscribe via the World Wide Web, visit > https://mail.python.org/mm3/mailman3/lists/yt-users.python.org/ > or, via email, send a message with subject or body 'help' to > yt-users-request(a)python.org > > You can reach the person managing the list at > yt-users-owner(a)python.org > > When replying, please edit your Subject line so it is more specific > than "Re: Contents of yt-users digest..." > > Today's Topics: > > 1. Re: Error in streamline plotting (Nathan Goldbaum) > > > ---------------------------------------------------------------------- > > Date: Sat, 03 Feb 2018 20:51:42 -0000 > From: "Nathan Goldbaum" <nathan12343(a)gmail.com> > Subject: [yt-users] Re: Error in streamline plotting > To: yt-users(a)python.org > Message-ID: <20180203205142.6944.23743(a)mail.python.org> > Content-Type: text/plain; charset="utf-8" > > > Dear Nathan: > > > > Here is tracebin of the error in streamline plotting. Thanks in advance > > > > > > yt : [WARNING ] 2018-02-03 14:39:03,549 Switching to symlog colorbar > > scaling unless linear scaling is specified later > > /cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site-packages/ > matplotlib/colors.py:1114: > > RuntimeWarning: invalid value encountered in greater > > masked = np.abs(a) > self.linthresh > > /cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site-packages/ > matplotlib/colors.py:1126: > > RuntimeWarning: invalid value encountered in greater > > masked = np.abs(a) > (self.linthresh * self._linscale_adj) > > /cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site-packages/ > yt/units/yt_array.py:985: > > RuntimeWarning: invalid value encountered in divide > > np.divide(self, oth, out=self) > > Traceback (most recent call last): > > File "yt_frb_offaxes.py", line 61, in <module> > > plt.streamplot(X,Y,U,V,norm='True') > > Here's the line in your script that's triggering the error you're seeing. > > The issue is that you're passing data with units to matplotlib. Matplotlib > doesn't know anything about yt's unit system, so you need to strip the > units before passing to matplotlib. > > The following modification should fix things: > > plt.streamplot(np.array(X),np.array(Y),np.array(U),np.array( > V),norm='True') > > > File > > "/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site- > packages/matplotlib/pyplot.py", > > line 3542, in streamplot > > data=data) > > File > > "/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site- > packages/matplotlib/__init__.py", > > line 1717, in inner > > return func(ax, *args, **kwargs) > > File > > "/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site- > packages/matplotlib/axes/_axes.py", > > line 4624, in streamplot > > integration_direction=integration_direction) > > File > > "/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site-packages/matplotlib/ > streamplot.py", > > line 83, in streamplot > > grid = Grid(x, y) > > File > > "/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site-packages/matplotlib/ > streamplot.py", > > line 315, in __init__ > > if not np.allclose(x_row, x): > > File > > "/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site- > packages/numpy/core/numeric.py", > > line 2459, in allclose > > res = all(isclose(a, b, rtol=rtol, atol=atol, equal_nan=equal_nan)) > > File > > "/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site- > packages/numpy/core/numeric.py", > > line 2541, in isclose > > return within_tol(x, y, atol, rtol) > > File > > "/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site- > packages/numpy/core/numeric.py", > > line 2524, in within_tol > > result = less_equal(abs(x-y), atol + rtol * abs(y)) > > File > > "/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site- > packages/yt/units/yt_array.py", > > line 912, in __radd__ > > lo = sanitize_units_add(self, left_object, "addition") > > File > > "/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site- > packages/yt/units/yt_array.py", > > line 163, in sanitize_units_add > > raise YTUnitOperationError(op_string, inp.units, dimensionless) > > yt.utilities.exceptions.YTUnitOperationError: The addition operator for > > YTArrays with units (km) and (1) is not well defined. > > > > > > On Tue, Jan 30, 2018 at 10:57 AM, <yt-users-request(a)python.org> > wrote: > > ------------------------------ > > Subject: Digest Footer > > _______________________________________________ > yt-users mailing list -- yt-users(a)python.org > To unsubscribe send an email to yt-users-leave(a)python.org > > > ------------------------------ > > End of yt-users Digest, Vol 120, Issue 1 > **************************************** > -- *SK2* *"**Claiming that something can move faster than light is a good conversation-stopper in physics. People edge away from you in cocktail parties; friends never return phone calls. You just don’t mess with Albert Einstein.**"*

2 1

Individual Particle xray data
by Dylan Robson 06 Feb '18

06 Feb '18

I'm trying to pull xray information from MUFASA simulations using the add_xray_emissivity function of YT. However I seem to only be able to pull total quantities of things such as xray luminosity for spherical regions defined in the simulation box. I was wondering if there was any functionality to YT that would allow me to pull this xray luminosity for each particle individually?

2 1

Error in streamline plotting
by Sushilkumar 03 Feb '18

03 Feb '18

Dear Nathan: Here is tracebin of the error in streamline plotting. Thanks in advance yt : [WARNING ] 2018-02-03 14:39:03,549 Switching to symlog colorbar scaling unless linear scaling is specified later /cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site-packages/matplotlib/colors.py:1114: RuntimeWarning: invalid value encountered in greater masked = np.abs(a) > self.linthresh /cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site-packages/matplotlib/colors.py:1126: RuntimeWarning: invalid value encountered in greater masked = np.abs(a) > (self.linthresh * self._linscale_adj) /cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site-packages/yt/units/yt_array.py:985: RuntimeWarning: invalid value encountered in divide np.divide(self, oth, out=self) Traceback (most recent call last): File "yt_frb_offaxes.py", line 61, in <module> plt.streamplot(X,Y,U,V,norm='True') File "/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site-packages/matplotlib/pyplot.py", line 3542, in streamplot data=data) File "/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site-packages/matplotlib/__init__.py", line 1717, in inner return func(ax, *args, **kwargs) File "/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site-packages/matplotlib/axes/_axes.py", line 4624, in streamplot integration_direction=integration_direction) File "/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site-packages/matplotlib/streamplot.py", line 83, in streamplot grid = Grid(x, y) File "/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site-packages/matplotlib/streamplot.py", line 315, in __init__ if not np.allclose(x_row, x): File "/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site-packages/numpy/core/numeric.py", line 2459, in allclose res = all(isclose(a, b, rtol=rtol, atol=atol, equal_nan=equal_nan)) File "/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site-packages/numpy/core/numeric.py", line 2541, in isclose return within_tol(x, y, atol, rtol) File "/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site-packages/numpy/core/numeric.py", line 2524, in within_tol result = less_equal(abs(x-y), atol + rtol * abs(y)) File "/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site-packages/yt/units/yt_array.py", line 912, in __radd__ lo = sanitize_units_add(self, left_object, "addition") File "/cm/shared/apps/anaconda2/4.3.1/lib/python2.7/site-packages/yt/units/yt_array.py", line 163, in sanitize_units_add raise YTUnitOperationError(op_string, inp.units, dimensionless) yt.utilities.exceptions.YTUnitOperationError: The addition operator for YTArrays with units (km) and (1) is not well defined. On Tue, Jan 30, 2018 at 10:57 AM, <yt-users-request(a)python.org> wrote: > Send yt-users mailing list submissions to > yt-users(a)python.org > > To subscribe or unsubscribe via the World Wide Web, visit > https://mail.python.org/mm3/mailman3/lists/yt-users.python.org/ > or, via email, send a message with subject or body 'help' to > yt-users-request(a)python.org > > You can reach the person managing the list at > yt-users-owner(a)python.org > > When replying, please edit your Subject line so it is more specific > than "Re: Contents of yt-users digest..." > > Today's Topics: > > 1. Re: Derivatives on a 2D Dataset (Nathan Goldbaum) > 2. Re: Error in streamline plotting (Nathan Goldbaum) > 3. Re: Projection Plot Image Array (Julia Rakas) > > > ---------------------------------------------------------------------- > > Date: Tue, 30 Jan 2018 10:45:49 -0600 > From: Nathan Goldbaum <nathan12343(a)gmail.com> > Subject: [yt-users] Re: Derivatives on a 2D Dataset > To: Discussion of the yt analysis package <yt-users(a)python.org> > Message-ID: > <CAJXewOk-V8BE5uoMP7t7jGHV+bLVc6tdb=CKBWW3pPp7Qo++Jw@ > mail.gmail.com> > Content-Type: multipart/alternative; > boundary="089e082216e08e25a60564011961" > > --089e082216e08e25a60564011961 > Content-Type: text/plain; charset="UTF-8" > > I'm not sure exactly what's causing the error you're running into - it > would help to see more frames of the stack trace. If I had to guess it's > coming from somewhere in your grad function but the stack trace would let > you know for sure. > > You also might be interested in yt's built-in support for adding gradient > fields: > > http://yt-project.org/docs/dev/reference/api/yt.data_ > objects.static_output.html#yt.data_objects.static_output. > Dataset.add_gradient_fields > http://yt-project.org/docs/dev/analyzing/fields.html#gradient-fields > http://yt-project.org/docs/dev/cookbook/calculating_ > information.html#cookbook-complicated-derived-fields > > Hope that helps, > > Nathan > > On Tue, Jan 30, 2018 at 10:03 AM, <llj16b(a)my.fsu.edu> wrote: > > > Good morning YT-users, > > > > I'm trying to take derivatives on a 2d dataset, below is what I do and > the > > error I get: > > # - - - - - - A SIMPLE TEST TO TRY GETTING A 2D DERIVATIVE - - - - - - - > > - - - > > ... > > ds_list = [yt.load('%s/DD%04d/data%04d'%(base_directory,n1,n1)) for n1 > in > > frame_list] > > ds = ds_list[0] > > g = ds.index.grids[0] > > ds.periodicity = (True, True, True) > > ad = ds.all_data() > > > > # this is to access the grad operator and the added derived field which > > are found further below: > > map(xyz_derived_fields, ds_list) > > > > # the following line breaks down > > print(ad['deriv_vx']) > > > > # - - - - - - - - - - - - ANOTHER .PY FILE - - - - - - - - - - > > ... > > def grad(data,fieldname,direction): > > iM2 = slice(None,-2) > > iP2 = slice(2,None) > > all = slice(1,-1) > > all_all=[all]*3 > > > > dxi=1./(2*data.dds) > > > > out = np.zeros_like(data[fieldname]) > > > > Right = [all]*3 > > Left = [all]*3 > > print(data.shape) > > if data.shape[2] == 1: > > all_all[2]=slice(None) > > Right[2]=slice(None) > > Left[2]=slice(None) > > > > Right[direction] = iP2 > > Left[direction] = iM2 > > > > out[all_all] = (data[fieldname][Right] - data[fieldname][Left]) * > > dxi[direction] > > return out > > > > def xyz_derived_fields(target): > > def deriv_vx(field,data): > > return grad(data,'velocity_x',0) > > MyValidators = [yt.ValidateSpatial(1,['velocity_x', > > 'velocity_y','velocity_z'])] > > target.add_field('deriv_vx', function=deriv_vx, units='cm/s', > > validators=MyValidators) > > > > # this is the error: - - - - - - - - - - - > > /home/luzlourdes/yt-conda/lib/python2.7/site-packages/yt/ > units/yt_array.py:1161: > > VisibleDeprecationWarning: boolean index did not match indexed array > along > > dimension 2; dimension is 4 but corresponding boolean dimension is 1 > > ret = super(YTArray, self).__getitem__(item) > > [ 0. 0. 0. ..., 0. 0. 0.] cm/s > > > > # - - - - - - - - - - - - - - - - - - - - - > > May I use your knowledge and help on knowing what is happening and/or how > > we could go about solving this? > > Please let me know if I could provide you with anything further. > > > > Thank you, > > > > Luz Jimenez Vela > > Graduate Student at FSU > > _______________________________________________ > > yt-users mailing list -- yt-users(a)python.org > > To unsubscribe send an email to yt-users-leave(a)python.org > > > > --089e082216e08e25a60564011961 > Content-Type: text/html; charset="UTF-8" > Content-Transfer-Encoding: quoted-printable > > <div dir=3D"ltr"><div><div><div>I'm not sure exactly what's > causing= > the error you're running into - it would help to see more frames of > th= > e stack trace. If I had to guess it's coming from somewhere in your > gra= > d function but the stack trace would let you know for > sure.<br><br></div>Yo= > u also might be interested in yt's built-in support for adding > gradient= > fields:<br><br><a href=3D"http://yt-project.org/ > docs/dev/reference/api/yt.= > data_objects.static_output.html#yt.data_objects.static_ > output.Dataset.add_g= > radient_fields">http://yt-project.org/docs/dev/ > reference/api/yt.data_object= > s.static_output.html#yt.data_objects.static_output.Dataset. > add_gradient_fie= > lds</a><br><a href=3D"http://yt-project.org/docs/dev/analyzing/fields. > html#= > gradient-fields">http://yt-project.org/docs/dev/ > analyzing/fields.html#gradi= > ent-fields</a><br><a href=3D"http://yt-project.org/ > docs/dev/cookbook/calcul= > ating_information.html#cookbook-complicated-derived-fields"> > http://yt-proje= > ct.org/docs/dev/cookbook/calculating_information.html# > cookbook-complicated-= > derived-fields</a><br><br></div>Hope that helps,<br><br></div>Nathan<br> > </d= > iv><div class=3D"gmail_extra"><br><div class=3D"gmail_quote">On Tue, Jan > 30= > , 2018 at 10:03 AM, <span dir=3D"ltr"><<a href=3D"mailto: > llj16b(a)my.fsu.= > edu" target=3D"_blank">llj16b(a)my.fsu.edu</a>></span> > wrote:<br><blockquo= > te class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1px #ccc > so= > lid;padding-left:1ex">Good morning YT-users,<br> > <br> > I'm trying to take derivatives on a 2d dataset, below is what I do and > = > the error I get:<br> > # - - - - - -=C2=A0 A SIMPLE TEST TO TRY GETTING A 2D DERIVATIVE - - - - - > = > - - - - -<br> > ...<br> > ds_list =3D [yt.load('%s/DD%04d/data%04d'%<wbr>(base_directory, > n1,n= > 1)) for n1 in frame_list]<br> > ds =3D ds_list[0]<br> > g =3D ds.index.grids[0]<br> > ds.periodicity =3D (True, True, True)<br> > ad =3D ds.all_data()<br> > <br> > # this is to access the grad operator and the added derived field which > are= > found further below:<br> > map(xyz_derived_fields, ds_list)<br> > <br> > # the following line breaks down<br> > print(ad['deriv_vx'])<br> > <br> > # - - - - - - - - - - - - ANOTHER .PY FILE - - - - - - - - - -<br> > ...<br> > def grad(data,fieldname,direction)<wbr>:<br> > =C2=A0 =C2=A0 iM2 =3D slice(None,-2)<br> > =C2=A0 =C2=A0 iP2 =3D slice(2,None)<br> > =C2=A0 =C2=A0 all =3D slice(1,-1)<br> > =C2=A0 =C2=A0 all_all=3D[all]*3<br> > <br> > =C2=A0 =C2=A0 dxi=3D1./(2*data.dds)<br> > <br> > =C2=A0 =C2=A0 out =3D np.zeros_like(data[fieldname])<br> > <br> > =C2=A0 =C2=A0 Right =3D [all]*3<br> > =C2=A0 =C2=A0 Left =3D [all]*3<br> > =C2=A0 =C2=A0 print(data.shape)<br> > =C2=A0 =C2=A0 if data.shape[2] =3D=3D 1:<br> > =C2=A0 =C2=A0 =C2=A0 =C2=A0 all_all[2]=3Dslice(None)<br> > =C2=A0 =C2=A0 =C2=A0 =C2=A0 Right[2]=3Dslice(None)<br> > =C2=A0 =C2=A0 =C2=A0 =C2=A0 Left[2]=3Dslice(None)<br> > <br> > =C2=A0 =C2=A0 Right[direction] =3D iP2<br> > =C2=A0 =C2=A0 Left[direction] =3D iM2<br> > <br> > =C2=A0 =C2=A0 out[all_all] =3D (data[fieldname][Right] - > data[fieldname][Le= > ft]) * dxi[direction]<br> > =C2=A0 =C2=A0 return out<br> > <br> > def xyz_derived_fields(target):<br> > =C2=A0 =C2=A0 def deriv_vx(field,data):<br> > =C2=A0 =C2=A0 =C2=A0 =C2=A0 return grad(data,'velocity_x',0)<br> > =C2=A0 =C2=A0 MyValidators =3D [yt.ValidateSpatial(1,['< > wbr>velocity_x&= > #39;, 'velocity_y','velocity_z'])]<br> > =C2=A0 =C2=A0 target.add_field('deriv_vx', function=3Dderiv_vx, > uni= > ts=3D'cm/s', validators=3DMyValidators)<br> > <br> > # this is the error: - - - - - - - - - - -<br> > /home/luzlourdes/yt-conda/lib/<wbr>python2.7/site-packages/ > yt/<wbr>units/yt= > _array.py:1161: VisibleDeprecationWarning: boolean index did not match > inde= > xed array along dimension 2; dimension is 4 but corresponding boolean > dimen= > sion is 1<br> > =C2=A0 ret =3D super(YTArray, self).__getitem__(item)<br> > [ 0.=C2=A0 0.=C2=A0 0. ...,=C2=A0 0.=C2=A0 0.=C2=A0 0.] cm/s<br> > <br> > # - - - - - - - - - - - - - - - - - - - - -<br> > May I use your knowledge and help on knowing what is happening and/or how > w= > e could go about solving this?<br> > Please let me know if I could provide you with anything further.<br> > <br> > Thank you,<br> > <br> > Luz Jimenez Vela<br> > Graduate Student at FSU<br> > ______________________________<wbr>_________________<br> > yt-users mailing list -- <a href=3D"mailto:yt-users@python.org > ">yt-users@py= > thon.org</a><br> > To unsubscribe send an email to <a href=3D"mailto:yt-users-leave@ > python.org= > ">yt-users-leave(a)python.org</a><br> > </blockquote></div><br></div> > > --089e082216e08e25a60564011961-- > > ------------------------------ > > Date: Tue, 30 Jan 2018 10:47:21 -0600 > From: Nathan Goldbaum <nathan12343(a)gmail.com> > Subject: [yt-users] Re: Error in streamline plotting > To: Discussion of the yt analysis package <yt-users(a)python.org> > Message-ID: > <CAJXewOmyPO+P4YL4MwvorN2CBdteRqfA2ueHb-- > mGTcnKJJxVg(a)mail.gmail.com> > Content-Type: multipart/alternative; > boundary="f403045c2a140828d50564011fc5" > > --f403045c2a140828d50564011fc5 > Content-Type: text/plain; charset="UTF-8" > > Can you pastebin the traceback you get along with the error message? The > traceback will show you which line in your script is raising the error. > > On Mon, Jan 29, 2018 at 5:17 PM, Sushilkumar <sushil.sush19us(a)gmail.com> > wrote: > > > Dear yt: > > > > I am getting the following error for the script (see below). Could you > let > > me know what is causing it? Thank you in advance > > > > Error: > > yt.utilities.exceptions.YTUnitOperationError: The addition operator for > > YTArrays with units (km) and (1) is not well defined. > > > > Script: > > import yt > > import numpy as np > > import matplotlib.pylab as pl > > import matplotlib.pyplot as plt > > import matplotlib.colors as colors > > from matplotlib.colors import LogNorm > > > > from yt.visualization.api import Streamlines > > from yt.units import km > > from mpl_toolkits.mplot3d import Axes3D > > > > > > ms = 24000000 > > vector_max=ms-(ms/3) > > ms1=ms-vector_max > > dims = (200,200,200) > > > > x = np.genfromtxt("/work/jbi157/MODEL7/UPDATE_B/yo_n_t0.mtx", > skip_header=2,usecols=1, > > dtype="f8") > > x = x.reshape((8000000, 3), order="F") > > > > field1 = x[:,2].reshape(dims, order="F") > > field2 = x[:,1].reshape(dims, order="F") > > field3 = x[:,0].reshape(dims, order="F") > > > > data = dict(cutting_plane_velocity_x = field1, > > cutting_plane_velocity_y = field2, > > cutting_plane_velocity_z = field3) > > > > bbox = np.array([[-100, 99], [-100, 99], [-100, 99]]) > > > > pf = yt.load_uniform_grid(data, dims, km, bbox=bbox, nprocs=1) > > > > L = [0,1,0] # vector normal to cutting plane > > north_vector = [0,1,1] > > > > slc = yt.OffAxisSlicePlot(pf, L, 'cutting_plane_velocity_x', > > center=[0,0,0], width=(180,'km'), north_vector=north_vector) > > > > vel = slc._frb['cutting_plane_velocity_z'] > > U = slc._frb['cutting_plane_velocity_x'] > > V = slc._frb['cutting_plane_velocity_y'] > > > > extentx = [slc.xlim[i].in_units('km') for i in (0, 1)] > > extenty = [slc.ylim[i].in_units('km') for i in (0, 1)] > > extent = extentx + extenty > > > > x = np.linspace(extentx[0], extentx[1], vel.shape[0]) > > y = np.linspace(extenty[1], extenty[0], vel.shape[1]) > > > > X, Y = np.meshgrid(x, y) > > > > normalize = True > > if normalize is True: > > N = np.sqrt(U**2+V**2) > > U /= N > > V /= N > > > > norm = colors.Normalize(vmin=vel.min(), vmax=vel.max()) > > factor = 1 > > #plt.quiver(X[::factor, ::factor], Y[::factor, ::factor], U[::factor, > > ::factor], V[::factor, ::factor]) > > > > plt.streamplot(X,Y,U,V,norm='True') > > > > #plt.imshow(vel.d, extent=extent) > > plt.colorbar() > > plt.xlabel("x") > > plt.axis([-100, 99, -100, 99]) > > plt.savefig('L(1,0,0) N(0,1,1)') > > #slc.save() > > > > --f403045c2a140828d50564011fc5 > Content-Type: text/html; charset="UTF-8" > Content-Transfer-Encoding: quoted-printable > > <div dir=3D"ltr"><div>Can you pastebin the traceback you get along with > the= > error message? The traceback will show you which line in your script is > ra= > ising the error.<br></div><div class=3D"gmail_extra"><br><div > class=3D"gmai= > l_quote">On Mon, Jan 29, 2018 at 5:17 PM, Sushilkumar <span > dir=3D"ltr">&lt= > ;<a href=3D"mailto:sushil.sush19us@gmail.com" > target=3D"_blank">sushil.sush= > 19us(a)gmail.com</a>></span> wrote:<br><blockquote class=3D"gmail_quote" > s= > tyle=3D"margin:0 0 0 .8ex;border-left:1px #ccc > solid;padding-left:1ex"><div= > dir=3D"ltr"><div><div>Dear yt:<br><br></div>I am getting the following > err= > or for the script (see below). Could you let me know what is causing=C2=A0 > = > it? Thank you in advance<br><br></div>Error:<br>yt.utilities.exceptions.< > wb= > r>YTUnitOperationError: The addition operator for YTArrays with units (km) > = > and (1) is not well defined.<br><div><br></div>Script:<br>import > yt<br>impo= > rt numpy as np<br>import matplotlib.pylab as pl<br>import > matplotlib.pyplot= > as plt<br>import matplotlib.colors as colors<br>from matplotlib.colors > imp= > ort LogNorm<br><br>from yt.visualization.api import Streamlines<br>from > yt.= > units import km<br>from mpl_toolkits.mplot3d import Axes3D<br><br><br>ms = > =3D 24000000<br>vector_max=3Dms-(ms/3)<br>ms1=3Dms-vector_max<br>dims =3D > (= > 200,200,200)<br><br>x =3D np.genfromtxt("/work/ > jbi157/<wbr>MODEL7/UPDA= > TE_B/yo_n_t0.mtx",<wbr>skip_header=3D2,usecols=3D1, > dtype=3D"f8&q= > uot;)<br>x =3D x.reshape((8000000, 3), order=3D"F")<br><br> > field1= > =3D x[:,2].reshape(dims, order=3D"F")<br>field2 =3D > x[:,1].resha= > pe(dims, order=3D"F")<br>field3 =3D x[:,0].reshape(dims, > order=3D= > "F")<br><br>data =3D dict(cutting_plane_velocity_x =3D > field1,<br= > >=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 > cutting= > _plane_velocity_y =3D field2,<br>=C2=A0=C2=A0=C2=A0= > C2=A0=C2=A0=C2=A0=C2=A0= > =C2=A0=C2=A0=C2=A0=C2=A0 cutting_plane_velocity_z =3D field3)<br><br>bbox = > =3D np.array([[-100, 99], [-100, 99], [-100, 99]])<br><br>pf =3D > yt.load_un= > iform_grid(data, dims, km, bbox=3Dbbox, nprocs=3D1)<br><br>L =3D [0,1,0] # > = > vector normal to cutting plane<br>north_vector =3D [0,1,1]<br><br>slc =3D > y= > t.OffAxisSlicePlot(pf, L, 'cutting_plane_velocity_x', > center=3D[0,0= > ,0], width=3D(180,'km'), north_vector=3Dnorth_vector)<br><br>vel = > =3D slc._frb['cutting_plane_<wbr>velocity_z']<br>U =3D > slc._frb[&#3= > 9;cutting_plane_<wbr>velocity_x']<br>V =3D > slc._frb['cutting_plane_= > <wbr>velocity_y']<br><br>extentx =3D [slc.xlim[i].in_units('km& > #39;= > ) for i in (0, 1)]<br>extenty =3D [slc.ylim[i].in_units('km') for > i= > in (0, 1)]<br>extent =3D extentx + extenty<br><br>x =3D > np.linspace(extent= > x[0], extentx[1], vel.shape[0])<br>y =3D np.linspace(extenty[1], > extenty[0]= > , vel.shape[1])<br><br>X, Y =3D np.meshgrid(x, y)<br><br>normalize =3D > True= > <br>if normalize is True:<br>=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 N > = > =3D np.sqrt(U**2+V**2)<br>=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 U > /=3D= > N<br>=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 V /=3D N<br><br>norm =3D > c= > olors.Normalize(vmin=3Dvel.min(<wbr>), vmax=3Dvel.max())<br>factor =3D > 1<br= > >#plt.quiver(X[::factor, ::factor], Y[::factor, ::factor], U[::factor, > ::fa= > ctor], V[::factor, ::factor])<br><br>plt.streamplot(X,Y,U,V,norm=3D&# > 39;<wb= > r>True')<br><br>#plt.imshow(vel.d, extent=3Dextent)<br>plt. > colorbar()<b= > r>plt.xlabel("x")<br>plt.axis([-100, 99, -100, > 99])<br>plt.savefi= > g('L(1,0,0) N(0,1,1)')<br>#slc.save()< > br></div></blockquote></div><= > /div></div> > > --f403045c2a140828d50564011fc5-- > > ------------------------------ > > Date: Tue, 30 Jan 2018 11:50:30 -0500 > From: Julia Rakas <jrakas(a)umich.edu> > Subject: [yt-users] Re: Projection Plot Image Array > To: Discussion of the yt analysis package <yt-users(a)python.org> > Message-ID: <C4E230FB-4903-4150-A949-3C15C4EE6944(a)umich.edu> > Content-Type: multipart/alternative; > boundary="Apple-Mail=_049CE903-17B0-49DF-AB92-DFA4CDCB8C85" > > > --Apple-Mail=_049CE903-17B0-49DF-AB92-DFA4CDCB8C85 > Content-Transfer-Encoding: quoted-printable > Content-Type: text/plain; > charset=utf-8 > > Hello, > > So I did as you suggested and cast my image array to a normal python = > array, but for some reason when I try to do an imshow, it doesn=E2=80=99t = > seem to recognize any of the values because I get this: > > > > This is the frb that I made > > > > Do you know why this might be? > > Thanks, > Julie > > > On Jan 22, 2018, at 11:49 AM, Nathan Goldbaum <nathan12343(a)gmail.com> = > wrote: > >=20 > >=20 > >=20 > > On Mon, Jan 22, 2018 at 12:07 AM, Julia Rakas <jrakas(a)umich.edu = > <mailto:jrakas@umich.edu>> wrote: > > Hi, > >=20 > > So I did what was suggested and made a fixed resolution buffer and got = > this: > >=20 > >=20 > >=20 > > What do the dots mean? > >=20 > > That's how big arrays (bigger than can fit on your display) are = > printed by NumPy. The default plot resolution is 800x800 so that's way = > bigger than can fit on your screen. > > =20 > > And I guess the main thing is that I want to be able to modify the = > array and be able to, for example, multiply the values by a conversion = > factor, normalize some values if they are below a threshold etc using = > matplotlib and I=E2=80=99m not quite sure how to interpret the results = > in order to do so. Any help would be greatly appreciated. > >=20 > > The image array you get back acts just like a normal numpy array. You = > can multiply by conversion factors and do boolean logic just like any = > other array. I'd use matplotlib's imshow command to display the image. = > One wrinkle though, matplotlib will raise errors when you pass a yt = > ImageArray to the imshow command. This is fixed on some versions of = > matplotlib, although I just tested the latest version and it seems to = > have hapenned again. The fix is just to cast the ImageArray to a numpy = > ndarray: > >=20 > > import numpy as np > > =20 > > p =3D ProjectionPlot(...) > > image =3D p.frb[field] > >=20 > > ndarray_image =3D np.array(image) > >=20 > >=20 > > Here's a worked example: > >=20 > > https://gist.github.com/b6a4393a0ea1ca2630a1dfd43d087ec4 = > <https://gist.github.com/b6a4393a0ea1ca2630a1dfd43d087ec4> > > =20 > >=20 > > Thanks so much! > > Julie > >=20 > >> On Jan 21, 2018, at 12:04 PM, Nathan Goldbaum <nathan12343(a)gmail.com = > <mailto:nathan12343@gmail.com>> wrote: > >>=20 > >> Your image contains the "density" field with a width of 10 in code = > units along each axis. So each row corresponds to the density value = > sampled over a 1x1 (in code units) region of your simulation, since you = > specified that you wanted a 10x10 image. > >>=20 > >> You might find the OffAxisProjectionPlot object to be a bit nicer to = > work with to make plots: > >>=20 > >> = > http://yt-project.org/doc/visualizing/plots.html#off- > axis-projection-plots= > = > <http://yt-project.org/doc/visualizing/plots.html#off- > axis-projection-plot= > s> > >> = > http://yt-project.org/doc/reference/api/yt.visualization.plot_window. > html#= > yt.visualization.plot_window.OffAxisProjectionPlot = > <http://yt-project.org/doc/reference/api/yt.visualization.plot_window. > html= > #yt.visualization.plot_window.OffAxisProjectionPlot> > >>=20 > >> OffAxisProjectionPlot presents the same interface as ProjectionPlot = > and will make a plot with axes and labels that should hopefully be = > easier to understand than the raw image you are dealing with now. > >>=20 > >>=20 > >> On Sun, Jan 21, 2018 at 10:42 AM, Julia Rakas <jrakas(a)umich.edu = > <mailto:jrakas@umich.edu>> wrote: > >> Thank you! And I was wondering how exactly the output array = > corresponds to the image?=20 > >>=20 > >> <Screenshot 2018-01-12 19.38.46.png> > >>=20 > >>=20 > >> For example, in the above ImageArray, what do the rows/colums mean? > >>=20 > >> Thanks again, > >> Julie > >>=20 > >>> On Jan 21, 2018, at 8:45 AM, Nathan Goldbaum <nathan12343(a)gmail.com = > <mailto:nathan12343@gmail.com>> wrote: > >>>=20 > >>> Hi Julia, > >>>=20 > >>> If I create a ProjectionPlot like so: > >>>=20 > >>> p =3D ProjectionPlot(ds, 'z', ('gas', 'density')) > >>>=20 > >>> Then I can access the image array you are looking for like this: > >>>=20 > >>> image =3D p.frb['gas', 'density'] > >>>=20 > >>> This is using the FixedResolutionBuffer object that is associated = > with the ProjectionPlot. You also don't need to create a ProjectionPlot = > to do this, you can instead manually create a FixedResolutionBuffer = > object. See the following doc pages: > >>>=20 > >>> = > http://yt-project.org/doc/visualizing/manual_plotting. > html#fixed-resolutio= > n-buffers = > <http://yt-project.org/doc/visualizing/manual_plotting. > html#fixed-resoluti= > on-buffers> > >>> = > http://yt-project.org/doc/analyzing/generating_ > processed_data.html?highlig= > ht=3Dfixedresolutionbuffer#d-image-arrays = > <http://yt-project.org/doc/analyzing/generating_ > processed_data.html?highli= > ght=3Dfixedresolutionbuffer#d-image-arrays> > >>> = > http://yt-project.org/doc/reference/api/yt.visualization.fixed_ > resolution.= > html#yt.visualization.fixed_resolution.FixedResolutionBuffer = > <http://yt-project.org/doc/reference/api/yt.visualization.fixed_ > resolution= > .html#yt.visualization.fixed_resolution.FixedResolutionBuffer> > >>>=20 > >>> Hope that helps, > >>>=20 > >>> Nathan > >>>=20 > >>> On Sun, Jan 21, 2018 at 12:47 AM Julia Rakas <jrakas(a)umich.edu = > <mailto:jrakas@umich.edu>> wrote: > >>> Hello, > >>>=20 > >>> When I do yt.off_axis_projection(=E2=80=A6) I get an array as an = > output. My question is how I can get an output array for regular = > projection plots? And does the output array correspond to the actual = > image that it otherwise would have plotted? > >>>=20 > >>> Thanks, > >>> Julie > >>> _______________________________________________ > >>> yt-users mailing list -- yt-users(a)python.org = > <mailto:yt-users@python.org> > >>> To unsubscribe send an email to yt-users-leave(a)python.org = > <mailto:yt-users-leave@python.org> > >>> _______________________________________________ > >>> yt-users mailing list -- yt-users(a)python.org = > <mailto:yt-users@python.org> > >>> To unsubscribe send an email to yt-users-leave(a)python.org = > <mailto:yt-users-leave@python.org> > >>=20 > >>=20 > >> _______________________________________________ > >> yt-users mailing list -- yt-users(a)python.org = > <mailto:yt-users@python.org> > >> To unsubscribe send an email to yt-users-leave(a)python.org = > <mailto:yt-users-leave@python.org> > >>=20 > >>=20 > >> _______________________________________________ > >> yt-users mailing list -- yt-users(a)python.org = > <mailto:yt-users@python.org> > >> To unsubscribe send an email to yt-users-leave(a)python.org = > <mailto:yt-users-leave@python.org> > >=20 > >=20 > > _______________________________________________ > > yt-users mailing list -- yt-users(a)python.org = > <mailto:yt-users@python.org> > > To unsubscribe send an email to yt-users-leave(a)python.org = > <mailto:yt-users-leave@python.org> > >=20 > >=20 > > _______________________________________________ > > yt-users mailing list -- yt-users(a)python.org = > <mailto:yt-users@python.org> > > To unsubscribe send an email to yt-users-leave(a)python.org = > <mailto:yt-users-leave@python.org> > > --Apple-Mail=_049CE903-17B0-49DF-AB92-DFA4CDCB8C85 > Content-Type: multipart/related; > type="text/html"; > boundary="Apple-Mail=_7656CE3C-B772-49F5-A2B6-FE503BAEC821" > > > --Apple-Mail=_7656CE3C-B772-49F5-A2B6-FE503BAEC821 > Content-Transfer-Encoding: quoted-printable > Content-Type: text/html; > charset=utf-8 > > <html><head><meta http-equiv=3D"Content-Type" content=3D"text/html; = > charset=3Dutf-8"></head><body style=3D"word-wrap: break-word; = > -webkit-nbsp-mode: space; line-break: after-white-space;" = > class=3D"">Hello,<div class=3D""><br class=3D""></div><div class=3D"">So = > I did as you suggested and cast my image array to a normal python array, = > but for some reason when I try to do an imshow, it doesn=E2=80=99t seem = > to recognize any of the values because I get this:</div><div = > class=3D""><br class=3D""></div><div class=3D""><img apple-inline=3D"yes" = > id=3D"D586DD5D-4F95-4C9B-9AE7-5FE8D9AC26CB" width=3D"598" height=3D"339" = > src=3D"cid:02CE3D38-859F-4FA7-9313-6FA0005ACE22@adsroot.itcs.umich.edu" = > class=3D""></div><div class=3D""><br class=3D""></div><div class=3D"">This= > is the frb that I made</div><div class=3D""><br class=3D""></div><div = > class=3D""><img apple-inline=3D"yes" = > id=3D"DFA36A2C-6115-4702-8747-BE862DF81AAD" width=3D"886" height=3D"366" = > src=3D"cid:E730EBBE-5FA9-4BFE-8A23-0A8E2342DF3E@adsroot.itcs.umich.edu" = > class=3D""><br class=3D""><div><br class=3D""></div><div>Do you know why = > this might be?</div><div><br = > class=3D""></div><div>Thanks,</div><div>Julie</div><div><br = > class=3D""><blockquote type=3D"cite" class=3D""><div class=3D"">On Jan = > 22, 2018, at 11:49 AM, Nathan Goldbaum <<a = > href=3D"mailto:nathan12343@gmail.com" = > class=3D"">nathan12343(a)gmail.com</a>> wrote:</div><br = > class=3D"Apple-interchange-newline"><div class=3D""><div dir=3D"ltr" = > style=3D"font-family: Helvetica; font-size: 12px; font-style: normal; = > font-variant-caps: normal; font-weight: normal; letter-spacing: normal; = > text-align: start; text-indent: 0px; text-transform: none; white-space: = > normal; word-spacing: 0px; -webkit-text-stroke-width: 0px;" = > class=3D""><div class=3D"gmail_extra"><br = > class=3D"Apple-interchange-newline"><br class=3D""><div = > class=3D"gmail_quote">On Mon, Jan 22, 2018 at 12:07 AM, Julia Rakas<span = > class=3D"Apple-converted-space"> </span><span dir=3D"ltr" = > class=3D""><<a href=3D"mailto:jrakas@umich.edu" target=3D"_blank" = > class=3D"">jrakas(a)umich.edu</a>></span><span = > class=3D"Apple-converted-space"> </span>wrote:<br = > class=3D""><blockquote class=3D"gmail_quote" style=3D"margin: 0px 0px = > 0px 0.8ex; border-left-width: 1px; border-left-style: solid; = > border-left-color: rgb(204, 204, 204); padding-left: 1ex;"><div = > style=3D"overflow-wrap: break-word;" class=3D"">Hi,<div class=3D""><br = > class=3D""></div><div class=3D"">So I did what was suggested and made a = > fixed resolution buffer and got this:</div><div class=3D""><br = > class=3D""></div><div class=3D""><br class=3D""><div class=3D""><br = > class=3D""></div><div class=3D"">What do the dots = > mean?</div></div></div></blockquote><div class=3D""><br = > class=3D""></div><div class=3D"">That's how big arrays (bigger than can = > fit on your display) are printed by NumPy. The default plot resolution = > is 800x800 so that's way bigger than can fit on your screen.<br = > class=3D""></div><div class=3D""> </div><blockquote = > class=3D"gmail_quote" style=3D"margin: 0px 0px 0px 0.8ex; = > border-left-width: 1px; border-left-style: solid; border-left-color: = > rgb(204, 204, 204); padding-left: 1ex;"><div style=3D"overflow-wrap: = > break-word;" class=3D""><div class=3D""><div class=3D"">And I guess the = > main thing is that I want to be able to modify the array and be able to, = > for example, multiply the values by a conversion factor, normalize some = > values if they are below a threshold etc using matplotlib and I=E2=80=99m = > not quite sure how to interpret the results in order to do so. Any help = > would be greatly appreciated.</div></div></div></blockquote><div = > class=3D""><br class=3D""></div><div class=3D"">The image array you get = > back acts just like a normal numpy array. You can multiply by conversion = > factors and do boolean logic just like any other array. I'd use = > matplotlib's imshow command to display the image. One wrinkle though, = > matplotlib will raise errors when you pass a yt ImageArray to the imshow = > command. This is fixed on some versions of matplotlib, although I just = > tested the latest version and it seems to have hapenned again. The fix = > is just to cast the ImageArray to a numpy ndarray:<br class=3D""><br = > class=3D""></div><div class=3D"">    import numpy as = > np<br class=3D""></div><div class=3D"">   <span = > class=3D"Apple-converted-space"> </span><br class=3D""></div><div = > class=3D"">    p =3D ProjectionPlot(...)<br = > class=3D""></div><div class=3D"">    image =3D = > p.frb[field]<br class=3D""><br class=3D""></div><div = > class=3D"">    ndarray_image =3D np.array(image)<br = > class=3D""></div><div class=3D""><br class=3D""></div><div class=3D""><br = > class=3D""></div><div class=3D"">Here's a worked example:<br = > class=3D""><br class=3D""><a = > href=3D"https://gist.github.com/b6a4393a0ea1ca2630a1dfd43d087ec4" = > class=3D"">https://gist.github.com/b6a4393a0ea1ca2630a1dfd43d087ec4 > </a><br= > class=3D""></div><div class=3D""> </div><blockquote = > class=3D"gmail_quote" style=3D"margin: 0px 0px 0px 0.8ex; = > border-left-width: 1px; border-left-style: solid; border-left-color: = > rgb(204, 204, 204); padding-left: 1ex;"><div style=3D"overflow-wrap: = > break-word;" class=3D""><div class=3D""><div class=3D""><br = > class=3D""></div><div class=3D"">Thanks so much!</div><div = > class=3D"">Julie</div><div class=3D""><br class=3D""><blockquote = > type=3D"cite" class=3D""><span class=3D"gmail-"><div class=3D"">On Jan = > 21, 2018, at 12:04 PM, Nathan Goldbaum <<a = > href=3D"mailto:nathan12343@gmail.com" target=3D"_blank" = > class=3D"">nathan12343(a)gmail.com</a>> wrote:</div><br = > class=3D"gmail-m_3807456752928867182Apple-interchange-newline"></span>< > div= > class=3D""><span class=3D"gmail-"><div dir=3D"ltr" class=3D""><div = > class=3D""><div class=3D"">Your image contains the "density" field with = > a width of 10 in code units along each axis. So each row corresponds to = > the density value sampled over a 1x1 (in code units) region of your = > simulation, since you specified that you wanted a 10x10 image.<br = > class=3D""><br class=3D""></div>You might find the OffAxisProjectionPlot = > object to be a bit nicer to work with to make plots:<br class=3D""><br = > class=3D""><a = > href=3D"http://yt-project.org/doc/visualizing/plots.html# > off-axis-projecti= > on-plots" target=3D"_blank" class=3D"">http://yt-project.org/doc/<wbr = > class=3D"">visualizing/plots.html#off-<wbr = > class=3D"">axis-projection-plots</a><br class=3D""><a = > href=3D"http://yt-project.org/doc/reference/api/yt. > visualization.plot_wind= > ow.html#yt.visualization.plot_window.OffAxisProjectionPlot" = > target=3D"_blank" class=3D"">http://yt-project.org/doc/<wbr = > class=3D"">reference/api/yt.<wbr class=3D"">visualization.plot_ > window.<wbr= > class=3D"">html#yt.visualization.plot_<wbr = > class=3D"">window.OffAxisProjectionPlot</a><br class=3D""><br = > class=3D""></div>OffAxisProjectionPlot presents the same interface as = > ProjectionPlot and will make a plot with axes and labels that should = > hopefully be easier to understand than the raw image you are dealing = > with now.<br class=3D""><div class=3D""><br = > class=3D""></div></div></span><div class=3D"gmail_extra"><br = > class=3D""><div class=3D"gmail_quote"><span class=3D"gmail-">On Sun, Jan = > 21, 2018 at 10:42 AM, Julia Rakas<span = > class=3D"Apple-converted-space"> </span><span dir=3D"ltr" = > class=3D""><<a href=3D"mailto:jrakas@umich.edu" target=3D"_blank" = > class=3D"">jrakas(a)umich.edu</a>></span><span = > class=3D"Apple-converted-space"> </span>wrote:<br = > class=3D""></span><blockquote class=3D"gmail_quote" style=3D"margin: 0px = > 0px 0px 0.8ex; border-left-width: 1px; border-left-style: solid; = > border-left-color: rgb(204, 204, 204); padding-left: 1ex;"><div = > style=3D"overflow-wrap: break-word;" class=3D""><span = > class=3D"gmail-">Thank you! And I was wondering how exactly the output = > array corresponds to the image? <div class=3D""><br = > class=3D""></div></span><div class=3D""><span = > id=3D"gmail-m_3807456752928867182cid:1A9410AA-5370-4F62-8CC4-ED8F8623A32D@ > = > adsroot.itcs.umich.edu" class=3D""><Screenshot 2018-01-12 = > 19.38.46.png></span><div class=3D""><div class=3D"gmail-h5"><br = > class=3D""><div class=3D""><br class=3D""></div><div class=3D"">For = > example, in the above ImageArray, what do the rows/colums = > mean?</div><div class=3D""><br class=3D""></div><div class=3D"">Thanks = > again,</div><div class=3D"">Julie</div><div class=3D""><div = > class=3D"gmail-m_3807456752928867182h5"><div class=3D""><br = > class=3D""><blockquote type=3D"cite" class=3D""><div class=3D"">On Jan = > 21, 2018, at 8:45 AM, Nathan Goldbaum <<a = > href=3D"mailto:nathan12343@gmail.com" target=3D"_blank" = > class=3D"">nathan12343(a)gmail.com</a>> wrote:</div><br = > class=3D"gmail-m_3807456752928867182m_7774216733366765601Apple- > interchange= > -newline"><div class=3D""><div dir=3D"ltr" class=3D""><div class=3D""><div= > dir=3D"auto" class=3D"">Hi Julia,</div><div dir=3D"auto" class=3D""><br = > class=3D""></div><div dir=3D"auto" class=3D"">If I create a = > ProjectionPlot like so:</div><div dir=3D"auto" class=3D""><br = > class=3D""></div><div dir=3D"auto" class=3D"">   <span = > class=3D"Apple-converted-space"> </span>p =3D ProjectionPlot(ds, = > 'z', ('gas', 'density'))</div><div dir=3D"auto" class=3D""><br = > class=3D""></div><div class=3D"">Then I can access the image array you = > are looking for like this:</div><div class=3D""><br class=3D""></div><div = > class=3D"">   <span = > class=3D"Apple-converted-space"> </span>image =3D p.frb['gas', = > 'density']</div><div class=3D""><br class=3D""></div><div class=3D"">This = > is using the FixedResolutionBuffer object that is associated with the = > ProjectionPlot. You also don't need to create a ProjectionPlot to do = > this, you can instead manually create a FixedResolutionBuffer object. = > See the following doc pages:<br class=3D""></div><div class=3D""><br = > class=3D""></div><div class=3D""><a = > href=3D"http://yt-project.org/doc/visualizing/manual_ > plotting.html#fixed-r= > esolution-buffers" target=3D"_blank" = > class=3D"">http://yt-project.org/doc/visu<wbr = > class=3D"">alizing/manual_plotting.html#<wbr = > class=3D"">fixed-resolution-buffers</a></div><div class=3D""><a = > href=3D"http://yt-project.org/doc/analyzing/generating_ > processed_data.html= > ?highlight=3Dfixedresolutionbuffer#d-image-arrays" target=3D"_blank" = > class=3D"">http://yt-project.org/doc/anal<wbr = > class=3D"">yzing/generating_processed_<wbr = > class=3D"">data.html?highlight=3Dfixedresol<wbr = > class=3D"">utionbuffer#d-image-arrays</a></div><div class=3D""><a = > href=3D"http://yt-project.org/doc/reference/api/yt. > visualization.fixed_res= > olution.html#yt.visualization.fixed_resolution.FixedResolutionBuffer" = > target=3D"_blank" class=3D"">http://yt-project.org/doc/refe<wbr = > class=3D"">rence/api/yt.visualization.<wbr = > class=3D"">fixed_resolution.html#yt.visua<wbr = > class=3D"">lization.fixed_resolution.Fixe<wbr = > class=3D"">dResolutionBuffer</a></div><div class=3D""><br = > class=3D""></div><div class=3D"">Hope that helps,</div><div class=3D""><br= > class=3D""></div><div class=3D"">Nathan<br class=3D""></div><br = > class=3D""><div class=3D"gmail_quote"><div class=3D"">On Sun, Jan 21, = > 2018 at 12:47 AM Julia Rakas <<a href=3D"mailto:jrakas@umich.edu" = > target=3D"_blank" class=3D"">jrakas(a)umich.edu</a>> wrote:<br = > class=3D""></div><blockquote class=3D"gmail_quote" style=3D"margin: 0px = > 0px 0px 0.8ex; border-left-width: 1px; border-left-style: solid; = > border-left-color: rgb(204, 204, 204); padding-left: 1ex;">Hello,<br = > class=3D""><br class=3D"">When I do yt.off_axis_projection(=E2=80=A6) I = > get an array as an output. My question is how I can get an output array = > for regular projection plots? And does the output array correspond to = > the actual image that it otherwise would have plotted?<br class=3D""><br = > class=3D"">Thanks,<br class=3D"">Julie<br = > class=3D"">______________________________<wbr = > class=3D"">_________________<br class=3D"">yt-users mailing list --<span = > class=3D"Apple-converted-space"> </span><a = > href=3D"mailto:yt-users@python.org" target=3D"_blank" = > class=3D"">yt-users(a)python.org</a><br class=3D"">To unsubscribe send an = > email to<span class=3D"Apple-converted-space"> </span><a = > href=3D"mailto:yt-users-leave@python.org" target=3D"_blank" = > class=3D"">yt-users-leave(a)python.org</a><br = > class=3D""></blockquote></div></div></div>__________________ > ____________<w= > br class=3D"">_________________<br class=3D"">yt-users mailing list = > --<span class=3D"Apple-converted-space"> </span><a = > href=3D"mailto:yt-users@python.org" target=3D"_blank" = > class=3D"">yt-users(a)python.org</a><br class=3D"">To unsubscribe send an = > email to<span class=3D"Apple-converted-space"> </span><a = > href=3D"mailto:yt-users-leave@python.org" target=3D"_blank" = > class=3D"">yt-users-leave(a)python.org</a><br = > class=3D""></div></blockquote></div><br = > class=3D""></div></div></div></div></div></div><div class=3D""><div = > class=3D"gmail-h5"><br class=3D"">______________________________<wbr = > class=3D"">_________________<br class=3D"">yt-users mailing list --<span = > class=3D"Apple-converted-space"> </span><a = > href=3D"mailto:yt-users@python.org" target=3D"_blank" = > class=3D"">yt-users(a)python.org</a><br class=3D"">To unsubscribe send an = > email to<span class=3D"Apple-converted-space"> </span><a = > href=3D"mailto:yt-users-leave@python.org" target=3D"_blank" = > class=3D"">yt-users-leave(a)python.org</a><br class=3D""><br = > class=3D""></div></div></blockquote></div><br class=3D""></div><div = > class=3D""><div class=3D"gmail-h5">______________________________<wbr = > class=3D"">_________________<br 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class=3D""></div></div><span = > style=3D"font-family: Helvetica; font-size: 12px; font-style: normal; = > font-variant-caps: normal; font-weight: normal; letter-spacing: normal; = > text-align: start; text-indent: 0px; text-transform: none; white-space: = > normal; word-spacing: 0px; -webkit-text-stroke-width: 0px; float: none; = > display: inline !important;" = > class=3D"">_______________________________________________</span><br = > style=3D"font-family: Helvetica; font-size: 12px; font-style: normal; = > font-variant-caps: normal; font-weight: normal; letter-spacing: normal; = > text-align: start; text-indent: 0px; text-transform: none; white-space: = > normal; word-spacing: 0px; -webkit-text-stroke-width: 0px;" = > class=3D""><span style=3D"font-family: Helvetica; font-size: 12px; = > font-style: normal; font-variant-caps: normal; font-weight: normal; = > letter-spacing: normal; text-align: start; text-indent: 0px; = > text-transform: none; white-space: normal; word-spacing: 0px; 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--Apple-Mail=_7656CE3C-B772-49F5-A2B6-FE503BAEC821-- > > --Apple-Mail=_049CE903-17B0-49DF-AB92-DFA4CDCB8C85-- > > ------------------------------ > > Subject: Digest Footer > > _______________________________________________ > yt-users mailing list -- yt-users(a)python.org > To unsubscribe send an email to yt-users-leave(a)python.org > > > ------------------------------ > > End of yt-users Digest, Vol 119, Issue 43 > ***************************************** > -- *SK2* *"**Claiming that something can move faster than light is a good conversation-stopper in physics. People edge away from you in cocktail parties; friends never return phone calls. You just don’t mess with Albert Einstein.**"*

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