issue_comments: 255788269

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https://github.com/pydata/xarray/issues/798#issuecomment-255788269 https://api.github.com/repos/pydata/xarray/issues/798 255788269 MDEyOklzc3VlQ29tbWVudDI1NTc4ODI2OQ== 306380 2016-10-24T16:15:59Z 2016-10-24T16:15:59Z MEMBER

The futures_to_dask_arrays function has been deprecated at this point. The standard way to produce a distributed dask.array from custom functions is as follows: - Use dask.delayed to construct many lazy numpy arrays individually - Wrap each of these into a single-chunk dask.array using da.from_delayed(lazy_value, shape=..., dtype=...) - Use da.stack or da.concat to arrange these single-chunk dask.arrays into a larger dask.array.

The same approach could be used with XArray except that presumably we would need to do this for every relevant dataset within the NetCDF file. 

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