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/2606#issuecomment-447377321,https://api.github.com/repos/pydata/xarray/issues/2606,447377321,MDEyOklzc3VlQ29tbWVudDQ0NzM3NzMyMQ==,1411854,2018-12-14T16:28:29Z,2018-12-14T16:28:29Z,NONE,"Sorry my bad, I mis-used the function. The encoding parameters must be in the attrs and not encoding argument:

```python

encoded_var = xr.Variable(dims=('latitude','longitude'),
                          data=dask.array.from_array([[-11608,   9419,  27983,  32767,   1306],
                               [ 24657,  27490,  12354,  13565, -31678],
                               [ 23286,  19197,   -425, -17866,  -2387],
                               [  8284,  22922,  25428,  28584,  29309],
                               [ 21439,  26654,  15559,  -2752, -32766]],
                                                    chunks=(5,5)),
                          attrs=OrderedDict([('long_name', 'Land-sea mask'),
                             ('standard_name', 'land_binary_mask'),
                             ('units', '(0 - 1)'),
                            ('_FillValue', -32767),
                             ('dtype', dtype('int16')),
                             ('scale_factor', 1.0576998063464478e-07),
                             ('add_offset', 0.9965342350445446)
                                   ]),
                          encoding={'chunks': (5, 5),
                             }
                         )

xr.conventions.decode_cf_variable('l',encoded_var).compute()
```
```
<xarray.Variable (latitude: 5, longitude: 5)>
array([[0.995306, 0.99753 , 0.999494, 1.      , 0.996672],
       [0.999142, 0.999442, 0.997841, 0.997969, 0.993184],
       [0.998997, 0.998565, 0.996489, 0.994645, 0.996282],
       [0.99741 , 0.998959, 0.999224, 0.999558, 0.999634],
       [0.998802, 0.999353, 0.99818 , 0.996243, 0.993069]])
Attributes:
    long_name:      Land-sea mask
    standard_name:  land_binary_mask
    units:          (0 - 1)
    dtype:          int16
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,391168098
https://github.com/pydata/xarray/issues/2022#issuecomment-442055522,https://api.github.com/repos/pydata/xarray/issues/2022,442055522,MDEyOklzc3VlQ29tbWVudDQ0MjA1NTUyMg==,1411854,2018-11-27T13:20:33Z,2018-11-27T13:20:33Z,NONE,"> > Would be indeed really nice to get this built-in into xarray, but that is just a matter of patience I guess :)
> 
> Patience...or action. Anyone is welcome and encouraged to submit a pull request on this topic. Xarray is a volunteer effort.

Obviously. I'm just new to Zarr so a bit early to contribute to Xarray on that topic.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,309227775
https://github.com/pydata/xarray/issues/2022#issuecomment-441997049,https://api.github.com/repos/pydata/xarray/issues/2022,441997049,MDEyOklzc3VlQ29tbWVudDQ0MTk5NzA0OQ==,1411854,2018-11-27T09:55:10Z,2018-11-27T09:55:10Z,NONE,"> My use case for this is appending Argo float data to an existing zarr store. At the moment I have 800+ netcdf files that need transforming before they can be added or read by xarray in *.nc type read. At the moment I read the first transform it and add to a zarr sort using .to_zarr. Then I proceed to read the next files and append each variable to zarr using zarr append function.
> 
> This is probably not a good way to go but all that I could figure at the moment.

@NickMortimer would you have snipped for appending xarray objects to existing zarr dataset?

Would be indeed really nice to get this built-in into xarray, but that is just a matter of patience I guess :)

Thanks!
Greg","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,309227775