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/4859#issuecomment-974686019,https://api.github.com/repos/pydata/xarray/issues/4859,974686019,IC_kwDOAMm_X846GIdD,5821660,2021-11-20T17:48:43Z,2021-11-20T17:48:43Z,MEMBER,@mathause This can be closed. ,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,800678839
https://github.com/pydata/xarray/issues/4859#issuecomment-777612332,https://api.github.com/repos/pydata/xarray/issues/4859,777612332,MDEyOklzc3VlQ29tbWVudDc3NzYxMjMzMg==,38673295,2021-02-11T16:16:43Z,2021-02-11T16:16:43Z,NONE,"@kmuehlbauer Thanks a lot, I will check it ASAP. Yop, conversion to object from U4 is, I believe, normal behaviour. However, this does not cause any trouble for me so far. ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,800678839
https://github.com/pydata/xarray/issues/4859#issuecomment-777451036,https://api.github.com/repos/pydata/xarray/issues/4859,777451036,MDEyOklzc3VlQ29tbWVudDc3NzQ1MTAzNg==,5821660,2021-02-11T13:19:43Z,2021-02-11T13:19:43Z,MEMBER,"@kniperl You  can test with #4893. This should fix the `bytes` issue.  

But It seems that converting to string objects is by design (using ""netcdf4"").

```python
coils = np.array([""A"", ""B"", ""C"", ""D"", ""E""])
test_ds = xr.Dataset()
test_ds.coords[""coils""] = coils
print(test_ds)

> <xarray.Dataset>
> Dimensions:  (coils: 5)
> Coordinates:
>  * coils    (coils) <U1 'A' 'B' 'C' 'D' 'E'
> Data variables:
>    *empty*

test_ds.to_netcdf(""test_netcdf4.nc"", engine=""netcdf4"")
del test_ds
test_ds = xr.open_dataset(""test_netcdf4.nc"", engine=""netcdf4"")
print(test_ds)

> <xarray.Dataset>
> Dimensions:  (coils: 5)
> Coordinates:
>  * coils    (coils) object 'A' 'B' 'C' 'D' 'E'
> Data variables:
>    *empty*


```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,800678839
https://github.com/pydata/xarray/issues/4859#issuecomment-772827126,https://api.github.com/repos/pydata/xarray/issues/4859,772827126,MDEyOklzc3VlQ29tbWVudDc3MjgyNzEyNg==,5821660,2021-02-03T21:13:01Z,2021-02-03T21:13:25Z,MEMBER,"@kripnerl The actual fix is in https://github.com/h5netcdf/h5netcdf/pull/82.

@mathause Would you mind having a look at the proposed changes, also with respect to the implications for xarray? ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,800678839
https://github.com/pydata/xarray/issues/4859#issuecomment-772818772,https://api.github.com/repos/pydata/xarray/issues/4859,772818772,MDEyOklzc3VlQ29tbWVudDc3MjgxODc3Mg==,38673295,2021-02-03T20:59:00Z,2021-02-03T20:59:00Z,NONE,"> Yes, there was a behaviour change in h5py. A fix is on the way but not yet released: [h5netcdf/h5netcdf#81](https://github.com/h5netcdf/h5netcdf/issues/81)
> 
> For the time being you can downgrade h5py: `conda install h5py=2` which should fix the issue.

Thank you!","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,800678839
https://github.com/pydata/xarray/issues/4859#issuecomment-772818248,https://api.github.com/repos/pydata/xarray/issues/4859,772818248,MDEyOklzc3VlQ29tbWVudDc3MjgxODI0OA==,38673295,2021-02-03T20:58:07Z,2021-02-03T20:58:07Z,NONE,"Possible solution to my problem is: 

```python
test_ds.coords[""coils""] = test_ds.coils.values.astype(np.unicode_)
test_ds
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,800678839
https://github.com/pydata/xarray/issues/4859#issuecomment-772818220,https://api.github.com/repos/pydata/xarray/issues/4859,772818220,MDEyOklzc3VlQ29tbWVudDc3MjgxODIyMA==,10194086,2021-02-03T20:58:03Z,2021-02-03T20:58:03Z,MEMBER,"Yes, there was a behaviour change in h5py. A fix is on the way but not yet released: h5netcdf/h5netcdf#81

For the time being you can downgrade h5py: `conda install h5py=2` which should fix the issue.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,800678839