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
1517575123,I_kwDOAMm_X85adFvT,7409,Implement `DataArray.to_dask_dataframe()`,44147817,closed,0,,,4,2023-01-03T15:44:11Z,2023-04-28T15:09:31Z,2023-04-28T15:09:31Z,CONTRIBUTOR,,,,"### Is your feature request related to a problem?

It'd be nice to pass from a chunked DataArray to a dask object directly

### Describe the solution you'd like

I think something along these lines should work  (although a less convoluted way might exist):

```python
import dask.dataframe as dkd
import xarray as xr

def to_dask(da: xr.DataArray) -> Union[dkd.Series, dkd.DataFrame]:

    if da.data.ndim > 2:
        raise ValueError(f""Can only convert 1D and 2D DataArrays, found {da.data.ndim} dimensions"")

    indexes = [da.get_index(dim) for dim in da.dims]
    darr_index = dka.from_array(indexes[0], chunks=da.data.chunks[0])
    columns = [da.name] if da.data.ndim == 1 else indexes[1]
    ddf = dkd.from_dask_array(da.data, columns=columns)
    ddf[indexes[0].name] = darr_index
    return ddf.set_index(indexes[0].name).squeeze()
```
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/7409/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue
1143489702,I_kwDOAMm_X85EKESm,6288,`Dataset.to_zarr()` does not preserve CRS information,44147817,closed,0,,,6,2022-02-18T17:51:02Z,2022-08-29T23:40:44Z,2022-03-21T05:19:48Z,CONTRIBUTOR,,,,"### What happened?

When writing a DataArray with CRS information to zarr, after converting it to a Dataset, the CRS is not readable from the zarr file.

### What did you expect to happen?

To be able to retrieve the CRS information from the zarr file.

### Minimal Complete Verifiable Example

```python
da = xr.DataArray(np.arange(9).reshape(3,3),
                  coords={'x':range(3), 'y':range(3)}
                 )

da = da.rio.write_crs(4326)
da.to_dataset(name='var').to_zarr('var.zarr')
xr.open_zarr('var.zarr')['var'].rio.crs == None # returns True
```

### Anything else we need to know?

I'd be happy to have a look at this if it is indeed a bug.

### Environment

INSTALLED VERSIONS
------------------
commit: None
python: 3.9.0 (default, Jan 17 2022, 21:57:22) 
[GCC 9.3.0]
python-bits: 64
OS: Linux
OS-release: 5.11.0-1028-aws
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: C.UTF-8
LOCALE: ('en_US', 'UTF-8')
libhdf5: 1.12.1
libnetcdf: None

xarray: 0.20.1
pandas: 1.3.4
numpy: 1.21.4
scipy: 1.7.3
netCDF4: None
pydap: None
h5netcdf: None
h5py: 3.6.0
Nio: None
zarr: 2.11.0
cftime: None
nc_time_axis: None
PseudoNetCDF: None
rasterio: 1.2.10
cfgrib: None
iris: None
bottleneck: None
dask: 2022.01.0
distributed: 2022.01.0
matplotlib: 3.5.1
cartopy: None
seaborn: None
numbagg: None
fsspec: 2021.11.1
cupy: None
pint: None
sparse: None
setuptools: 60.2.0
pip: 21.3.1
conda: None
pytest: 6.2.5
IPython: 8.0.0
sphinx: None
​","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/6288/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue