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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
614976784 MDU6SXNzdWU2MTQ5NzY3ODQ= 4049 to_unstacked_dataset broken for single-dim variables letmaik 530988 closed 0     0 2020-05-08T20:43:39Z 2020-07-02T20:51:11Z 2020-07-02T20:51:11Z CONTRIBUTOR      

MCVE Code Sample

```python arr = xr.DataArray( np.arange(3), coords=[("x", [0, 1, 2])], ) data = xr.Dataset({"a": arr, "b": arr}) stacked = data.to_stacked_array('y', sample_dims=['x']) unstacked = stacked.to_unstacked_dataset('y')

MergeError: conflicting values for variable 'y' on objects to be combined. You can skip this check by specifying compat='override'.

```

Expected Output

A working roundtrip.

Problem Description

I need to stack a bunch of variables and later unstack them again, however this doesn't work if the variables only have a single dimension.

Versions

Output of <tt>xr.show_versions()</tt> INSTALLED VERSIONS ------------------ commit: None python: 3.7.3 (default, Mar 27 2019, 22:11:17) [GCC 7.3.0] python-bits: 64 OS: Linux OS-release: 4.15.0-96-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_GB.UTF-8 LOCALE: en_GB.UTF-8 libhdf5: 1.10.4 libnetcdf: 4.6.2 xarray: 0.15.1 pandas: 1.0.3 numpy: 1.17.3 scipy: 1.3.1 netCDF4: 1.4.2 pydap: None h5netcdf: None h5py: 2.10.0 Nio: None zarr: None cftime: 1.0.4.2 nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: 2.10.1 distributed: 2.10.0 matplotlib: 3.1.1 cartopy: None seaborn: 0.10.0 numbagg: None setuptools: 41.0.0 pip: 19.0.3 conda: 4.8.3 pytest: 5.3.5 IPython: 7.9.0 sphinx: None 
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   completed xarray 13221727 issue
611384793 MDExOlB1bGxSZXF1ZXN0NDEyNTg0NDI5 4021 Fix to_netcdf docstring typo letmaik 530988 closed 0     1 2020-05-03T10:57:20Z 2020-05-03T13:34:27Z 2020-05-03T13:34:27Z CONTRIBUTOR   0 pydata/xarray/pulls/4021 
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     xarray 13221727 pull

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