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 800678839,MDU6SXNzdWU4MDA2Nzg4Mzk=,4859,Unicode strings unexpectedly transformed to byte strings upon `open_dataset`,38673295,closed,0,,,7,2021-02-03T20:34:27Z,2021-11-20T17:58:34Z,2021-11-20T17:58:34Z,NONE,,,,"**What happened**: Unicode coordinates convert to bytes after saving/loading with `h5netcdf` backend. This results with the practically unusable dataset (bytes != string). **What you expected to happen**: Load the string as a string. **Minimal Complete Verifiable Example**: ```python coils = np.array([""A"", ""B"", ""C"", ""D"", ""E""]) data = np.array([1 + 1j, 1 + 2j, 3j, 4j, 6j]) test_ds = xr.Dataset() test_ds.coords[""coils""] = coils test_ds[""data""] = (""coils"", data) test_ds > > Dimensions: (coils: 5) > Coordinates: > * coils (coils) Data variables: > data (coils) complex128 (1+1j) (1+2j) 3j 4j 6j test_ds.to_netcdf(""test.nc"", engine=""h5netcdf"") del test_ds test_ds = xr.open_dataset(""test.nc"", engine=""h5netcdf"") test_ds > > Dimensions: (coils: 5) > Coordinates: > * coils (coils) object b'A' b'B' b'C' b'D' b'E' > Data variables: > data (coils) complex128 ... ``` **Anything else we need to know?**: The issue may be related to #1638. **Environment**:
Output of xr.show_versions() INSTALLED VERSIONS ------------------ commit: None python: 3.8.6 | packaged by conda-forge | (default, Oct 7 2020, 19:08:05) [GCC 7.5.0] python-bits: 64 OS: Linux OS-release: 5.4.0-65-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: cs_CZ.UTF-8 LOCALE: cs_CZ.UTF-8 libhdf5: 1.10.5 libnetcdf: 4.6.3 xarray: 0.16.2 pandas: 1.1.5 numpy: 1.19.4 scipy: 1.5.3 netCDF4: 1.5.5 pydap: None h5netcdf: 0.8.1 h5py: 3.1.0 Nio: None zarr: None cftime: 1.3.0 nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: 1.3.2 dask: 2020.12.0 distributed: 2020.12.0 matplotlib: 3.3.3 cartopy: None seaborn: 0.11.0 numbagg: None pint: 0.16.1 setuptools: 49.6.0.post20201009 pip: 20.3.3 conda: None pytest: 6.2.1 IPython: 7.19.0 sphinx: None
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