html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue https://github.com/pydata/xarray/issues/3929#issuecomment-843725376,https://api.github.com/repos/pydata/xarray/issues/3929,843725376,MDEyOklzc3VlQ29tbWVudDg0MzcyNTM3Ng==,35295509,2021-05-19T03:52:00Z,2021-05-19T03:52:00Z,NONE,"I create this function which works pretty good, idk if it is of any help: [](see: https://stackoverflow.com/a/67595345/13592469) ``` import xarray as xr import dask.dataframe as dd def dask_2_xarray(ddf, indexname='index'): ds = xr.Dataset() ds[indexname] = ddf.index for key in ddf.columns: ds[key] = (indexname, ddf[key].to_dask_array().compute_chunk_sizes()) return ds # use: ds = dask_2_xarray(ddf) ``` ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,593029940