<html><head><meta http-equiv="content-type" content="text/html; charset=utf-8"></head><body dir="auto"><div>This is a bit of a long way around, but you could write the FRB to a FITS file and read it in as a dataset. You would get the coordinate system, units, etc., and the whole YT machinery.</div><div><br></div><div>Use the export_fits method:</div><div><br></div><div>my_frb.export_fits("myfile.fits", fields)</div><div><br></div><div>Then:</div><div><br></div><div>ds = yt.load("my_file.fits")</div><div><br></div><div>I'm not at a computer so I don't remember the exact signature, but it should be in the code and you can check using help(my_frb.export_fits). If you're interested I can write back with more info later.</div><div><br></div><div>The other advantage of this is that you can store the data to disk. You'll have to install the AstroPy package.</div><div><br></div><div><div><span style="background-color: rgba(255, 255, 255, 0);">Kavli Center for Astrophysics and Space Research<br>Massachusetts Institute of Technology<br><a href="x-apple-data-detectors://0" x-apple-data-detectors="true" x-apple-data-detectors-type="address" x-apple-data-detectors-result="0">77 Massachusetts Ave.</a>, 37-582G<br><a href="x-apple-data-detectors://1/0" x-apple-data-detectors="true" x-apple-data-detectors-type="address" x-apple-data-detectors-result="1/0">Cambridge, MA 02139</a><br>(w) <a href="tel:617-253-2354" x-apple-data-detectors="true" x-apple-data-detectors-type="telephone" x-apple-data-detectors-result="1/1">617-253-2354</a><br>(m) <a href="tel:781-708-5004" x-apple-data-detectors="true" x-apple-data-detectors-type="telephone" x-apple-data-detectors-result="1/2">781-708-5004</a><br><a href="mailto:jzuhone@space.mit.edu" x-apple-data-detectors="true" x-apple-data-detectors-type="link" x-apple-data-detectors-result="1/3">jzuhone@space.mit.edu</a><br><a href="mailto:jzuhone@gmail.com" x-apple-data-detectors="true" x-apple-data-detectors-type="link" x-apple-data-detectors-result="2">jzuhone@gmail.com</a><br><a href="http://www.jzuhone.com/" x-apple-data-detectors="true" x-apple-data-detectors-type="link" x-apple-data-detectors-result="3">http://www.jzuhone.com</a></span><br style="font-family: UICTFontTextStyleBody; -webkit-text-size-adjust: auto;"></div></div><div><br>On Jan 16, 2015, at 8:34 PM, Ben Thompson <<a href="mailto:bthompson2090@gmail.com">bthompson2090@gmail.com</a>> wrote:<br><br></div><blockquote type="cite"><div><p dir="ltr">Hey guys.</p>
<p dir="ltr">I have a solution together for myself involving the new particle_position_relative_[xyz] fields and multiple instances of np.histogram and np.linspace which seems to do the trick.</p>
<p dir="ltr">Although I would not complain if a piece of code that would be more native to the inner workings of YT existed that made use of the FRB data objects :). So that would be very nice Cameron. Don't feel the need to rush with it though, as I made a numpy solution for myself. But I would be interested to see that code.</p>
<p dir="ltr">Ben</p>
<div class="gmail_quote">On 17 Jan 2015 01:27, "Britton Smith" <<a href="mailto:brittonsmith@gmail.com">brittonsmith@gmail.com</a>> wrote:<br type="attribution"><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Hi Ben,<div><br></div><div>I seem to recall people on this list doing similar things in the past with their own external code. Does anyone still have their 2D radial profile code around anymore?</div><div><br></div><div>Would it perhaps work to create a uniform grid dataset from an FRB array?</div><div><br></div><div>Britton</div></div><div class="gmail_extra"><br><div class="gmail_quote">On Tue, Jan 13, 2015 at 12:49 PM, Ben Thompson <span dir="ltr"><<a href="mailto:bthompson2090@gmail.com" target="_blank">bthompson2090@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr"><div><div><div>Hello everyone.<br><br></div>I was wondering if anyone has had experience with producing a profile plot from a 2d projection object (FRB object).<br><br></div>Essentially, what I am trying to do is plot the stellar surface density of a galaxy as a function of radius.<br><br></div>This is achieved by doing the following from a disk YT object called cylinder (in which the origional simulation object is called shot)<br><br><div>center = cylinder.get_field_parameter("center")<br>normal = cylinder.get_field_parameter("normal")<br>image_width = (100,"kpc")<br>three_image_width = YTArray((image_width[0], image_width[0], image_width[0]),image_width[1])<br>left = center - image_width<br>right = center + image_width<br>region = shot.region(center, left, right)<br><br>proj = yt.ProjectionPlot(cylinder.ds,"z",[("deposit","stars_density")],center=center,width=image_width,data_source=region,axes_unit="kpc")<br><br></div><div>the error arrises here<br></div><div><br>prof = yt.create_profile(proj,bin_fields="cylindrical_r",fields=[("deposit","stars_density")],n_bins=128,weight_field=None )<br><br></div><div>where I get the error<br><br><br>/gpfs/home/........./profiles.pyc in create_profile(data_source, bin_fields, fields, n_bins, extrema, logs, units, weight_field, accumulation, fractional)<br> 1304 else:<br> 1305 raise NotImplementedError<br>-> 1306 bin_fields = data_source._determine_fields(bin_fields)<br> 1307 fields = data_source._determine_fields(fields)<br> 1308 if units is not None:<br><br>AttributeError: 'FixedResolutionBuffer' object has no attribute '_determine_fields'<br><br></div><div>Any ideas how to get around this error? <br><br><br></div><div>Also some other things to add as a postscript. Since how the projection works, if I provide weights=None as a keyword argument within the ProjectionPlot object, I get a surface density (g/cm^2). But also a "cylindrical_r" in cm^2 as well. I *think* the way to get around this is to do another projection where weights="ones", get the radius values out of that profile.. and then in matplotlib, useing the surface density array from the former profile, and the radius bin array from the latter... Produce a plot of the surface density as a function of radius from those two arrays (I might check by hand afterwards to see if this does the trick). This seems kinda convoluted so I am wondering if there is an easier way than this.<br><br><br></div></div>
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