issues: 1175454678
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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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1175454678 | I_kwDOAMm_X85GEAPW | 6393 | DataArray groupby returning Dataset broken in some cases | 20629530 | closed | 0 | 1 | 2022-03-21T14:17:25Z | 2022-03-21T15:26:20Z | 2022-03-21T15:26:20Z | CONTRIBUTOR | What happened?This is a the reverse problem of #6379, the What did you expect to happen?No response Minimal Complete Verifiable Example```Python import xarray as xr ds = xr.tutorial.open_dataset("air_temperature") ds.air.resample(time="YS").map(lambda grp: grp.mean("time").to_dataset()) ``` Relevant log output```PythonTypeError Traceback (most recent call last) Input In [3], in <module> ----> 1 ds.air.resample(time="YS").map(lambda grp: grp.mean("time").to_dataset()) File ~/Python/myxarray/xarray/core/resample.py:223, in DataArrayResample.map(self, func, shortcut, args, kwargs) 180 """Apply a function to each array in the group and concatenate them 181 together into a new array. 182 (...) 219 The result of splitting, applying and combining this array. 220 """ 221 # TODO: the argument order for Resample doesn't match that for its parent, 222 # GroupBy --> 223 combined = super().map(func, shortcut=shortcut, args=args, kwargs) 225 # If the aggregation function didn't drop the original resampling 226 # dimension, then we need to do so before we can rename the proxy 227 # dimension we used. 228 if self._dim in combined.coords: File ~/Python/myxarray/xarray/core/groupby.py:835, in DataArrayGroupByBase.map(self, func, shortcut, args, kwargs) 833 grouped = self._iter_grouped_shortcut() if shortcut else self._iter_grouped() 834 applied = (maybe_wrap_array(arr, func(arr, *args, kwargs)) for arr in grouped) --> 835 return self._combine(applied, shortcut=shortcut) File ~/Python/myxarray/xarray/core/groupby.py:869, in DataArrayGroupByBase._combine(self, applied, shortcut) 867 index, index_vars = create_default_index_implicit(coord) 868 indexes = {k: index for k in index_vars} --> 869 combined = combined._overwrite_indexes(indexes, coords=index_vars) 870 combined = self._maybe_restore_empty_groups(combined) 871 combined = self._maybe_unstack(combined) TypeError: _overwrite_indexes() got an unexpected keyword argument 'coords' ``` Anything else we need to know?I guess the same solution as #6386 could be used! Environment
INSTALLED VERSIONS
------------------
commit: None
python: 3.9.6 | packaged by conda-forge | (default, Jul 11 2021, 03:39:48)
[GCC 9.3.0]
python-bits: 64
OS: Linux
OS-release: 5.16.13-arch1-1
machine: x86_64
processor:
byteorder: little
LC_ALL: None
LANG: fr_CA.utf8
LOCALE: ('fr_CA', 'UTF-8')
libhdf5: 1.12.0
libnetcdf: 4.7.4
xarray: 2022.3.1.dev16+g3ead17ea
pandas: 1.4.0
numpy: 1.20.3
scipy: 1.7.1
netCDF4: 1.5.7
pydap: None
h5netcdf: 0.11.0
h5py: 3.4.0
Nio: None
zarr: 2.10.0
cftime: 1.5.0
nc_time_axis: 1.3.1
PseudoNetCDF: None
rasterio: None
cfgrib: None
iris: None
bottleneck: 1.3.2
dask: 2021.08.0
distributed: 2021.08.0
matplotlib: 3.4.3
cartopy: None
seaborn: None
numbagg: None
fsspec: 2021.07.0
cupy: None
pint: 0.18
sparse: None
setuptools: 57.4.0
pip: 21.2.4
conda: None
pytest: 6.2.5
IPython: 8.0.1
sphinx: 4.1.2
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completed | 13221727 | issue |