id,node_id,number,title,user,state,locked,assignee,milestone,comments,created_at,updated_at,closed_at,author_association,active_lock_reason,draft,pull_request,body,reactions,performed_via_github_app,state_reason,repo,type
1104213904,I_kwDOAMm_X85B0PeQ,6167,Xarray.to_netcdf encoding option not working for complevel and shuffle,11950284,closed,0,,,4,2022-01-14T23:38:47Z,2023-01-27T20:41:24Z,2023-01-27T20:41:24Z,NONE,,,,"### What happened?

The complevel and shuffle do not work on outputting file after updating the variable encoding. I set the variable encoding through `ds_test.net_heating.encoding.update({'complevel': 2, 'shuffle': True})` but the output nc file does not have _Shuffle and _DeflateLevel shown in the `ncdump -hs test.nc`. 

I, then, read in the output test.nc and check the encoding of the same variable and find the complevel = 0 and shuffle = False.

### What did you expect to happen?

1. The output file.nc shows correct _Shuffle and _DeflateLevel through ncdump -hs file.nc. 
2. Read in the output file.nc through Xarray and check the encoding of the same variable should show complevel = 2 and shuffle = True.

### Minimal Complete Verifiable Example

```python
>> ds_test.var.encoding
{'zlib': False,
 'shuffle': False,
 'complevel': 0,
 'fletcher32': False,
 'contiguous': False,
 'chunksizes': (1, 1500, 3600),
 'source': 'file.nc',
 'original_shape': (336, 1500, 3600),
 'dtype': dtype('float32'),
 'missing_value': -1e+20,
 '_FillValue': -1e+20}
>> ds_test.var.encoding.update({'complevel': 2, 'shuffle': True})
>> ds_test.var.encoding
{'zlib': False,
 'shuffle': True,
 'complevel': 2,
 'fletcher32': False,
 'contiguous': False,
 'chunksizes': (1, 1500, 3600),
 'source': 'file.nc',
 'original_shape': (336, 1500, 3600),
 'dtype': dtype('float32'),
 'missing_value': -1e+20,
 '_FillValue': -1e+20}
>> ds_test.to_netcdf('test.nc')
>> ds_read = xr.open_dataset('test.nc')
>> ds_read.var.encoding
{'zlib': False,
 'shuffle': False,
 'complevel': 0,
 'fletcher32': False,
 'contiguous': False,
 'chunksizes': (1, 1500, 3600),
 'source': 'test.nc',
 'original_shape': (336, 1500, 3600),
 'dtype': dtype('float32'),
 'missing_value': -1e+20,
 '_FillValue': -1e+20}
```


### Relevant log output

_No response_

### Anything else we need to know?

_No response_

### Environment

INSTALLED VERSIONS
------------------
commit: None
python: 3.9.7 (default, Sep 16 2021, 13:09:58) 
[GCC 7.5.0]
python-bits: 64
OS: Linux
OS-release: 4.18.0-348.7.1.el8_5.x86_64
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: ('en_US', 'UTF-8')
libhdf5: 1.12.1
libnetcdf: 4.8.1
xarray: 0.20.2
pandas: 1.3.5
numpy: 1.20.3
scipy: 1.7.3
netCDF4: 1.5.8
pydap: None
bottleneck: 1.3.2
dask: 2021.12.0
distributed: 2021.12.0
matplotlib: 3.5.1
cartopy: 0.20.1
seaborn: None
numbagg: None
fsspec: 2021.11.1
cupy: None
pint: None
sparse: 0.13.0
setuptools: 58.0.4
pip: 21.2.4
conda: None
pytest: None
IPython: 7.31.0
sphinx: None
h5netcdf: None
h5py: None
Nio: None
zarr: None
cftime: 1.5.1.1
nc_time_axis: None
PseudoNetCDF: None
rasterio: None
cfgrib: None
iris: None
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