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  • N4321D · 1 ✖

issue 1

  • Feature request xarray.Dataset.from_dask_dataframe · 1 ✖

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  • NONE · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
843725376 https://github.com/pydata/xarray/issues/3929#issuecomment-843725376 https://api.github.com/repos/pydata/xarray/issues/3929 MDEyOklzc3VlQ29tbWVudDg0MzcyNTM3Ng== N4321D 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:

``` 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) ```

 
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   Feature request xarray.Dataset.from_dask_dataframe 593029940

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