module 'xarray.core' has no attribute 'rolling' #6844
Description
What happened?
There used to be a xarray.core.rolling, and the documentation suggests it still exists, but with xarray-2022.6.0 I get: module xarray.core has no attribute rolling.
It works with xarray-2022.3.0.
What did you expect to happen?
Shouldn't we be able to access xarray.core.rolling?
Minimal Complete Verifiable Example
import xarray as xr
xr.core.rolling
# Traceback (most recent call last):
# File "<stdin>", line 1, in <module>
# AttributeError: module 'xarray.core' has no attribute 'rolling'MVCE confirmation
- Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
- Complete example — the example is self-contained, including all data and the text of any traceback.
- Verifiable example — the example copy & pastes into an IPython prompt or Binder notebook, returning the result.
- 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
Details
/home/david/mambaforge/envs/xarray_leaflet/lib/python3.10/site-packages/_distutils_hack/__init__.py:33: UserWarning: Setuptools is replacing distutils. warnings.warn("Setuptools is replacing distutils.")INSTALLED VERSIONS
commit: None
python: 3.10.5 | packaged by conda-forge | (main, Jun 14 2022, 07:06:46) [GCC 10.3.0]
python-bits: 64
OS: Linux
OS-release: 5.15.0-41-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: ('en_US', 'UTF-8')
libhdf5: None
libnetcdf: None
xarray: 2022.6.0
pandas: 1.4.3
numpy: 1.23.1
scipy: None
netCDF4: None
pydap: None
h5netcdf: None
h5py: None
Nio: None
zarr: None
cftime: None
nc_time_axis: None
PseudoNetCDF: None
rasterio: 1.3.0
cfgrib: None
iris: None
bottleneck: None
dask: 2022.7.1
distributed: None
matplotlib: 3.5.2
cartopy: None
seaborn: None
numbagg: None
fsspec: 2022.7.0
cupy: None
pint: None
sparse: None
flox: None
numpy_groupies: None
setuptools: 63.2.0
pip: 22.2.1
conda: None
pytest: None
IPython: 8.4.0
sphinx: None