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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
1593602847 I_kwDOAMm_X85e_HMf 7546 DatasetGroupBy.mean discards attributes on coordinate eendebakpt 883786 open 0     3 2023-02-21T14:41:37Z 2023-02-21T19:58:18Z   CONTRIBUTOR      

What happened?

When using DatasetGroupBy.mean with the option keep_attrs=True the information on the attributes is discarded.

Update: this happens when the flox package is not installed.

What did you expect to happen?

The attributes for the grouped coordinate should be in the result

Minimal Complete Verifiable Example

```Python import xarray as xr import pandas as pd import numpy as np

da = xr.DataArray( np.array([1, 2, 3, 1, 2, np.nan]), dims="time", coords=dict( time=("time", pd.date_range("01-01-2001", freq="M", periods=6)), labels=("time", np.array(["a", "b", "c", "c", "b", "a"])), ), ) da.labels.attrs['units']='a.u.'

ds = xr.Dataset(dict(da=da)) ds.attrs['units']='V' ds

m=ds.groupby("labels").mean(keep_attrs=True) print(m) # dataset has attribute for units print() print(m.labels) # labels has attribute for units ```

MVCE confirmation

  • [X] Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
  • [X] Complete example — the example is self-contained, including all data and the text of any traceback.
  • [X] Verifiable example — the example copy & pastes into an IPython prompt or Binder notebook, returning the result.
  • [X] New issue — a search of GitHub Issues suggests this is not a duplicate.

Relevant log output

No response

Anything else we need to know?

No response

Environment

``` INSTALLED VERSIONS ------------------ commit: None python: 3.10.8 (tags/v3.10.8:aaaf517, Oct 11 2022, 16:50:30) [MSC v.1933 64 bit (AMD64)] python-bits: 64 OS: Windows OS-release: 10 machine: AMD64 processor: Intel64 Family 6 Model 142 Stepping 12, GenuineIntel byteorder: little LC_ALL: None LANG: en LOCALE: ('Dutch_Netherlands', '1252') libhdf5: 1.12.2 libnetcdf: None xarray: 2022.12.0 pandas: 1.5.1 numpy: 1.24.1 scipy: 1.9.2 netCDF4: None pydap: None h5netcdf: 1.0.2 h5py: 3.7.0 Nio: None zarr: None cftime: None nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: None distributed: None matplotlib: 3.6.2 cartopy: None seaborn: 0.12.1 numbagg: None fsspec: None cupy: None pint: None sparse: None flox: None numpy_groupies: None setuptools: 65.3.0 pip: 22.3.1 conda: None pytest: 7.1.3 mypy: 0.990 IPython: 7.34.0 sphinx: 5.3.0 ``` 
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     xarray 13221727 issue

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