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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 |
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1867170572 | I_kwDOAMm_X85vSsMM | 8116 | Updating DataArray attributes in a Zarr archive does not work as for Dataset | krokosik 38408316 | open | 0 | 1 | 2023-08-25T14:34:46Z | 2023-09-21T20:32:38Z | CONTRIBUTOR | What happened?When using the new functionality of calling What did you expect to happen?I would like to update attributes in the same manner as with plain Zarr or with Datasets. Currently, we have to resort to modifying the Minimal Complete Verifiable Example```Python import xarray as xr ds_path = "ds" xr.Dataset().assign_attrs(a=1).to_zarr(ds_path, mode="w") xr.open_dataset(ds_path, engine="zarr").assign_attrs(b=2).to_zarr(ds_path, mode="a") da_path = "da" xr.DataArray().assign_attrs(a=1).to_zarr(da_path, mode="w") xr.open_dataarray(da_path, engine="zarr").assign_attrs(b=2).to_zarr(da_path, mode="a") print(xr.open_dataset(ds_path, engine="zarr").attrs == xr.open_dataarray(da_path, engine="zarr").attrs) ``` MVCE confirmation
Relevant log outputNo response Anything else we need to know?No response Environment
INSTALLED VERSIONS
------------------
commit: None
python: 3.11.3 (tags/v3.11.3:f3909b8, Apr 4 2023, 23:49:59) [MSC v.1934 64 bit (AMD64)]
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 183 Stepping 1, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
LOCALE: ('Polish_Poland', '1250')
libhdf5: None
libnetcdf: None
xarray: 2023.7.0
pandas: 2.0.3
numpy: 1.25.2
scipy: 1.11.2
netCDF4: None
pydap: None
h5netcdf: None
h5py: None
Nio: None
zarr: 2.16.1
cftime: None
nc_time_axis: None
PseudoNetCDF: None
iris: None
bottleneck: None
dask: None
distributed: None
matplotlib: 3.7.2
cartopy: None
seaborn: None
numbagg: None
fsspec: None
cupy: None
pint: None
sparse: None
flox: None
numpy_groupies: None
setuptools: 68.0.0
pip: 23.2.1
conda: None
pytest: None
mypy: None
IPython: 8.14.0
sphinx: 7.1.2
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