<div dir="ltr">Thank you for your quick response. However, when I used:<div>
<p class=""><span class=""><font face="monospace, monospace">ref = int(np.product(ds.ref_factors[0:3])),</font></span></p><p class="">I got this error:<br><br><font face="monospace, monospace">AttributeError: 'EnzoDataset' object has no attribute 'ref_factors'<br></font><br>Did I misunderstand your suggestion? Or do I need to import something?</p><p class="">Thanks,</p><p class="">Carla</p></div></div><div class="gmail_extra"><br><div class="gmail_quote">2015-11-19 15:39 GMT+01:00 Michael Zingale <span dir="ltr"><<a href="mailto:michael.zingale@stonybrook.edu" target="_blank">michael.zingale@stonybrook.edu</a>></span>:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">I've done this in the past:<div><br></div><div><div>ref = int(np.product(ds.ref_factors[0:max_level])) </div><div> </div><div># allocate for our uniformly-gridded result </div><div>dims = ds.domain_dimensions*ref </div></div><div><br></div><div>this will work for a more general case when the jump between levels can change as a function of level.</div></div><div class="gmail_extra"><br><div class="gmail_quote"><div><div class="h5">On Thu, Nov 19, 2015 at 9:10 AM, Carla Bernhardt <span dir="ltr"><<a href="mailto:carla.j.bernhardt@gmail.com" target="_blank">carla.j.bernhardt@gmail.com</a>></span> wrote:<br></div></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div><div class="h5"><div dir="ltr">Dear YT Users,<div><br></div><div>To better understand <font face="monospace, monospace">covering_grid</font> (or <font face="monospace, monospace">smoothed_covering_grid</font>), can someone explain what dimensions I should use when I have multiple levels of refinement? If I have 1 level of refinement from AMR data, the dimensions should be the same, I believe, but what if I have 2 or 3 levels of refinement? Should the fixed resolution region then have dimensions of dims*2^2 and dims*3^2 respectively?</div><div><br></div><div>Here is one example from <a href="http://yt-project.org/doc/examining/low_level_inspection.html#examining-grid-data-in-a-fixed-resolution-array" target="_blank">a tutorial</a> if that helps isolate my question:</div><div><div><font face="monospace, monospace">all_data_level_2 = ds.covering_grid(level=2, left_edge=[0,0.0,0.0],</font></div><div><font face="monospace, monospace"> dims=ds.domain_dimensions * 2**2)</font></div></div><div><br></div><div>Thanks in advance,</div><div>Carla</div></div>
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<br></blockquote></div><span class="HOEnZb"><font color="#888888"><br><br clear="all"><div><br></div>-- <br><div><div dir="ltr"><div><div>Michael Zingale</div><div>Associate Professor</div><div><br></div><div>Dept. of Physics & Astronomy • Stony Brook University • Stony Brook, NY 11794-3800</div><div><i>phone</i>: <a href="tel:631-632-8225" value="+16316328225" target="_blank">631-632-8225</a></div><div><i>e-mail</i>: <a href="mailto:Michael.Zingale@stonybrook.edu" target="_blank">Michael.Zingale@stonybrook.edu</a></div><div><i>web</i>: <a href="http://www.astro.sunysb.edu/mzingale" target="_blank">http://www.astro.sunysb.edu/mzingale</a></div><div>github: <a href="http://github.com/zingale" target="_blank">http://github.com/zingale</a></div><div><br></div></div></div></div>
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