html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/548#issuecomment-134420461,https://api.github.com/repos/pydata/xarray/issues/548,134420461,MDEyOklzc3VlQ29tbWVudDEzNDQyMDQ2MQ==,6063709,2015-08-25T00:05:40Z,2015-08-25T04:09:18Z,CONTRIBUTOR,"Brilliant. Thanks. I looked into the code but thought the encoding information was being stripped out.

So I've confirmed xray will round-trip fine. Shallow copies also round trip. Similarly making a new dataset from a variable with encoding information preserves that information and will output properly.

``` python
% tmp = xray.open_dataset('saved_on_disk_compressed.nc')
% tmp
<xray.Dataset>
Dimensions:         (time: 3, x: 2, y: 2)
Coordinates:
    reference_time  datetime64[ns] 2014-09-05
    lon             (x, y) float64 -99.83 -99.32 -99.79 -99.23
  * time            (time) datetime64[ns] 2014-09-06 2014-09-07 2014-09-08
    lat             (x, y) float64 42.25 42.21 42.63 42.59
  * x               (x) int64 0 1
  * y               (y) int64 0 1
Data variables:
    temperature     (x, y, time) float64 10.66 8.539 6.713 8.519 29.07 27.86 ...
    precipitation   (x, y, time) float64 0.3385 6.773 8.985 0.9651 0.1359 ...

% tmp.temperature.encoding
{'chunksizes': (2, 2, 3),
 'complevel': 5,
 'contiguous': False,
 'dtype': dtype('float64'),
 'fletcher32': False,
 'shuffle': True,
 'source': 'saved_on_disk_compressed.nc',
 'zlib': True}

% tmp2 = tmp
% tmp2.to_netcdf('saved_on_disk_comp_tmp2.nc')
% tmp3 = xray.open_dataset('saved_on_disk_comp_tmp2.nc')
% tmp3.temperature.encoding 
{'chunksizes': (2, 2, 3),
 'complevel': 5,
 'contiguous': False,
 'dtype': dtype('float64'),
 'fletcher32': False,
 'shuffle': True,
 'source': 'saved_on_disk_comp_xray.nc',
 'zlib': True}
```

Setting encoding dictionary works fine too (in this case copying from an existing variable):

``` python
% tmp4 = xray.DataArray(tmp.temperature.values).to_dataset(name='temperature')
% tmp4.temperature.encoding
{}
% tmp4.temperature.encoding = tmp.temperature.encoding                                                                              
% tmp4.temperature.encoding 
{'chunksizes': (2, 2, 3),
 'complevel': 5,
 'contiguous': False,
 'dtype': dtype('float64'),
 'fletcher32': False,
 'shuffle': True,
 'source': 'saved_on_disk_compressed.nc',
 'zlib': True}
% tmp4.to_netcdf('saved_on_disk_comp_tmp4.nc')
% tmp5 = xray.open_dataset('saved_on_disk_comp_tmp4.nc')
% tmp.temperature.encoding
{'chunksizes': (2, 2, 3),
 'complevel': 5,
 'contiguous': False,
 'dtype': dtype('float64'),
 'fletcher32': False,
 'shuffle': True,
 'source': 'saved_on_disk_compressed.nc',
 'zlib': True}
```

That will do nicely. Thanks.
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