issue_comments: 1280764797

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https://github.com/pydata/xarray/issues/6803#issuecomment-1280764797 https://api.github.com/repos/pydata/xarray/issues/6803 1280764797 IC_kwDOAMm_X85MVut9 6213168 2022-10-17T12:15:36Z 2022-10-17T12:20:02Z MEMBER

python new_data_future = xr.apply_ufunc( _copy_test, data, a_x, ... ) instead of using kwargs.

I've opened https://github.com/dask/distributed/issues/7140 to simplify this. With it implemented, my snippet python test = np.full((20,), 30) a = da.from_array(test) dsk = client.scatter(dict(a.dask), broadcast=True) a = da.Array(dsk, name=a.name, chunks=a.chunks, dtype=a.dtype, meta=a._meta, shape=a.shape) a_x = xarray.DataArray(a, dims=["new_z"]) would become python test = np.full((20,), 30) a_x = xarray.DataArray(test, dims=["new_z"]).chunk() a_x = client.scatter(a_x)

 
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