issue_comments: 1209641946
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| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/pydata/xarray/issues/6902#issuecomment-1209641946 | https://api.github.com/repos/pydata/xarray/issues/6902 | 1209641946 | IC_kwDOAMm_X85IGava | 14371165 | 2022-08-09T17:05:35Z | 2022-08-09T17:07:08Z | MEMBER | It's not crashing for me, but the dtype is not the same when switching flox on/off: ```python ds = xr.tutorial.load_dataset("air_temperature") assert ds.air.dtype == np.float32 for use_flox in (False, True): with xr.set_options(use_flox=use_flox): ds_mean = ds.groupby("time.month").mean(dtype="float64").compute() actual = ds_mean.air.dtype expected = np.float64 print(f"{use_flox=}, {actual=}, {expected=}") assert actual == expected use_flox=False, actual=dtype('float64'), expected=<class 'numpy.float64'>use_flox=True, actual=dtype('float32'), expected=<class 'numpy.float64'>```
INSTALLED VERSIONS
------------------
commit: None
python: 3.9.13 | packaged by conda-forge | (main, May 27 2022, 16:50:36) [MSC v.1929 64 bit (AMD64)]
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 58 Stepping 9, GenuineIntel
byteorder: little
LC_ALL: None
LANG: en
libhdf5: 1.12.1
libnetcdf: 4.8.1
xarray: 0.16.3.dev99+gc19467fb
pandas: 1.4.2
numpy: 1.22.4
scipy: 1.8.1
netCDF4: 1.5.8
pydap: installed
h5netcdf: 1.0.0
h5py: 3.6.0
Nio: None
zarr: 2.11.3
cftime: 1.6.0
nc_time_axis: 1.4.1
PseudoNetCDF: 3.2.2
rasterio: 1.2.10
cfgrib: None
iris: 3.2.1
bottleneck: 1.3.4
dask: 2022.6.0
distributed: 2022.6.0
matplotlib: 3.5.2
cartopy: 0.20.2
seaborn: 0.11.2
numbagg: 0.2.1
fsspec: 2022.7.1
cupy: None
pint: 0.19.2
sparse: 0.13.0
flox: 0.5.5
numpy_groupies: 0.9.17
setuptools: 62.5.0
pip: 22.1.2
conda: None
pytest: 7.1.2
IPython: 7.33.0
sphinx: 5.1.1
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