issues: 1517575123

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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
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()

```

 
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