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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
811321550	MDU6SXNzdWU4MTEzMjE1NTA=	4922	Bottleneck and dask objects ignore `min_periods` on `rolling`	bradyrx 8881170	open	0			5	2021-02-18T17:43:50Z	2021-12-19T15:18:45Z		CONTRIBUTOR				What happened: When `bottleneck` is installed in an environment, it seems to ignore the `min_periods` kwarg on `ds.rolling(...)`. What you expected to happen: When using `ds.rolling(..., min_periods=1)`, it should be able to handle an array of length 1. Without `bottleneck` installed, it returns the original value of a length 1 array. With `bottleneck` installed, the error is: `python-traceback ValueError: Moving window (=2) must between 1 and 1, inclusive` Minimal Complete Verifiable Example: With `bottleneck` installed to environment: `python import xarray as xr ds = xr.DataArray([1], dims='time') ds.rolling(time=2, center=True, min_periods=1).mean()` `python-traceback ValueError: Moving window (=2) must between 1 and 1, inclusive` Without `bottleneck` installed to environment: ```python import xarray as xr ds = xr.DataArray([1], dims='time') ds.rolling(time=2, center=True, min_periods=1).mean() <xarray.DataArray (time: 1)> array([1.]) Dimensions without coordinates: time ``` Anything else we need to know?: In an applied case, this came up while working on `.groupby('time.dayofyear').map(_rolling)`, where we map a rolling mean function over a defined N days with `min_periods=1`. Some climatological days (like leap years) will not have the N day requirement, so the `min_period` catch handles that, but with `bottleneck` installed it breaks due to the above issue. Environment: Output of <tt>xr.show_versions()</tt> INSTALLED VERSIONS ------------------ commit: None python: 3.8.6 \| packaged by conda-forge \| (default, Jan 25 2021, 23:22:12) [Clang 11.0.1 ] python-bits: 64 OS: Darwin OS-release: 19.6.0 machine: x86_64 processor: i386 byteorder: little LC_ALL: en_US.UTF-8 LANG: en_US.UTF-8 LOCALE: en_US.UTF-8 libhdf5: 1.10.6 libnetcdf: 4.7.4 xarray: 0.16.2 pandas: 1.2.1 numpy: 1.19.5 scipy: 1.6.0 netCDF4: 1.5.5.1 pydap: None h5netcdf: 0.8.1 h5py: 3.1.0 Nio: None zarr: 2.6.1 cftime: 1.3.1 nc_time_axis: 1.2.0 PseudoNetCDF: None rasterio: 1.1.8 cfgrib: None iris: None bottleneck: 1.3.2 dask: 2021.01.1 distributed: 2021.01.1 matplotlib: 3.3.3 cartopy: 0.18.0 seaborn: 0.11.1 numbagg: None pint: 0.16.1 setuptools: 49.6.0.post20210108 pip: 21.0 conda: None pytest: 6.2.2 IPython: 7.18.1 sphinx: 3.4.3	{ "url": "https://api.github.com/repos/pydata/xarray/issues/4922/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }			xarray 13221727	issue

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