Hi,I think this is due to a bug that was recently fixed by Britton Smith, see https://github.com/yt-project/yt/pull/1569 . When I run your script using the current master branch in the yt git repository I don't see any errors.To get the fix right now you'll need to build the development version of yt from the git repository, see http://yt-project.org/docs/dev/installing.html# installing-yt-from-source We are probably overdue for a bugfix release so I've added an entry to my todo list to do the backports necessary to generate a bugfix release.Apologies for the trouble and thank you for the detailed report, hope that's helpful.-NathanOn Thu, Oct 19, 2017 at 4:35 PM, Li,Qi <pg3552@ufl.edu> wrote:______________________________Dear user group,
I am trying to smooth particle data output from GIZMO onto an arbitrary grid, then save the object as data set and reload in order to do volume rendering. However I can not handle the reloaded data set.
To clarify, I smooth yt sample data — FIRE_M12i_ref11 onto a 64**3 grid, the code is like this:
1 import yt23 ytname='FIRE_M12i_ref11/snapshot_600.hdf5' 4 ds=yt.load(ytname)56 # define the region7 left = ds.domain_left_edge8 right = ds.domain_right_edge910 #now create an abitrary grid and save11 arb = ds.arbitrary_grid(left, right,dims=[64, 64, 64])1213 fn = arb.save_as_dataset(fields=[('PartType0' ,'density')])1415 arb_ds = yt.load('snapshot_600_arbitrary_grid.h5' )16 print arb_ds.field_list
And it returns an error:
Traceback (most recent call last):File "arbgrid_clean.py", line 16, in <module>print arb_ds.field_list......File "/Users/heavyfat/anaconda/lib/python2.7/site-packages/yt/fro ntends/ytdata/io.py", line 244, in _initialize_index pos[:,0] = _get_position_array(ptype, f, "x")ValueError: could not broadcast input array from shape (64,64,64) into shape (262144)
So, how I can save/load a usable arbitrary grid dataset?Thanks and looking forward to your suggestions.
Best regards,Qi_________________
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