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- Unicode strings unexpectedly transformed to byte strings upon `open_dataset` · 4 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue | 
|---|---|---|---|---|---|---|---|---|---|---|---|
| 974686019 | https://github.com/pydata/xarray/issues/4859#issuecomment-974686019 | https://api.github.com/repos/pydata/xarray/issues/4859 | IC_kwDOAMm_X846GIdD | kmuehlbauer 5821660 | 2021-11-20T17:48:43Z | 2021-11-20T17:48:43Z | MEMBER | @mathause This can be closed. | {
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| 777451036 | https://github.com/pydata/xarray/issues/4859#issuecomment-777451036 | https://api.github.com/repos/pydata/xarray/issues/4859 | MDEyOklzc3VlQ29tbWVudDc3NzQ1MTAzNg== | kmuehlbauer 5821660 | 2021-02-11T13:19:43Z | 2021-02-11T13:19:43Z | MEMBER | @kniperl You  can test with #4893. This should fix the  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) 
 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) 
 ``` | {
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| 772827126 | https://github.com/pydata/xarray/issues/4859#issuecomment-772827126 | https://api.github.com/repos/pydata/xarray/issues/4859 | MDEyOklzc3VlQ29tbWVudDc3MjgyNzEyNg== | kmuehlbauer 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? | {
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| 772818220 | https://github.com/pydata/xarray/issues/4859#issuecomment-772818220 | https://api.github.com/repos/pydata/xarray/issues/4859 | MDEyOklzc3VlQ29tbWVudDc3MjgxODIyMA== | mathause 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:  | {
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