issue_comments: 307524160

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https://github.com/pydata/xarray/issues/1225#issuecomment-307524160 https://api.github.com/repos/pydata/xarray/issues/1225 307524160 MDEyOklzc3VlQ29tbWVudDMwNzUyNDE2MA== 3496314 2017-06-09T23:32:38Z 2017-08-30T22:26:44Z NONE

OK, here's my code and the file that it works (fails) on.

Code: ```Python import os.path import numpy as np import xarray as xr ds = xr.open_dataset('veg_hist.0_10n.90_80w.2000_2016.mode_PFT.5dates.nc') ds_out = ds.isel(lat=slice(0,16),lon=slice(0,16))

ds_out.encoding['unlimited_dims'] = 'time'

ds_out.to_netcdf('test.out.nc') ```

Note that I commented out the attempt to make 'time' unlimited - if I attempt it, I get a slightly different chunk size error ('NetCDF: Bad chunk sizes').

I realize that for now I can use 'ncks' as a workaround, but seems to me that xarray should be able to do this too.

File (attached) veg_hist.0_10n.90_80w.2000_2016.mode_PFT.5dates.nc.zip

 
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