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
757660307,MDU6SXNzdWU3NTc2NjAzMDc=,4650,Ability to Pass Dask Arrays as `data` in DataArray Creation,29051639,closed,0,,,4,2020-12-05T11:33:03Z,2020-12-05T18:23:11Z,2020-12-05T13:13:10Z,CONTRIBUTOR,,,,"**Is your feature request related to a problem? Please describe.**

I'm trying to convert a dask dataframe into a dask xarray without having to load the data fully into memory.

I was hoping I'd be able to pass `df.values` which is a Dask array to the `data` parameter in `xr.DataArray`

```python
idx_dim = 'datetime'
col_dim = 'fueltypes'

xr.DataArray(df.values, [df.index, df.columns], [idx_dim, col_dim])
```

However this raises the error: `ValueError: conflicting sizes for dimension 'datetime': length nan on the data but length 90386 on coordinate 'datetime'`

<br>

**Describe the solution you'd like**

An ability to create DataArrays from dask dataframes, similar to the existing reverse method for converting Datasets to dask dataframes: `Dataset.to_dask_dataframe`

<br>

**Describe alternatives you've considered**

I tried using `xr.Dataset.from_dataframe(df)` but it required the dataframe to be fully loaded into memory

Additionally, unlike the standard Pandas dataframe the Dask dataframe does not have a  `.to_xarray` method.

<br>

**Additional context**

This is in part made necessary by the decision of the Zarr developers to not support saving of dask dataframes to zarr, instead suggesting that you convert to an xarray and then save that to zarr.","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4650/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue