to_zarr() produces error when trying to use keyword 'region'

[mloeffelbein]

When executing the code from the v0.16.1 documentation ds.isel(x=slice(0, 10)).to_zarr(path, region={"x": slice(0, 10)}) an error was produced:

Traceback (most recent call last):
File "", line 1, in
TypeError: to_zarr() got an unexpected keyword argument 'region'

Code copied from v0.16.1 documentation.

 
import numpy as np
import xarray as xr
import dask.array

dummies = dask.array.zeros(30, chunks=10)
ds = xr.Dataset({"foo": ("x", dummies)})
path = "path/to/directory.zarr"
ds.to_zarr(path, compute=False, consolidated=True)

ds = xr.Dataset({"foo": ("x", np.arange(30))})
ds.isel(x=slice(0, 10)).to_zarr(path, region={"x": slice(0, 10)})

Output of xr.show_versions()

xr.show_versions()

INSTALLED VERSIONS

commit: None
python: 3.7.7 (default, Mar 26 2020, 15:48:22)
[GCC 7.3.0]
python-bits: 64
OS: Linux
OS-release: 5.4.0-53-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8
libhdf5: 1.10.5
libnetcdf: 4.7.4

xarray: 0.16.1
pandas: 1.1.3
numpy: 1.19.2
scipy: 1.5.2
netCDF4: 1.5.3
pydap: None
h5netcdf: None
h5py: None
Nio: 1.5.5
zarr: 2.5.0
cftime: 1.3.0
nc_time_axis: None
PseudoNetCDF: None
rasterio: 1.1.0
cfgrib: 0.9.8.4
iris: None
bottleneck: 1.3.2
dask: 2.30.0
distributed: 2.30.1
matplotlib: 3.3.2
cartopy: None
seaborn: None
numbagg: None
pint: None
setuptools: 50.3.1.post20201107
pip: 20.2.4
conda: None
pytest: None
IPython: 5.8.0
sphinx: None

[keewis]

that's not actually the documentation of v0.16.1 but a PR documentation preview (which should have been removed once #4035 was merged). The region keyword argument is new in v0.16.2, so you need to upgrade xarray to be able to use it.

[mloeffelbein]

Thank you.