issue_comments: 200633312

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https://github.com/pydata/xarray/issues/798#issuecomment-200633312 https://api.github.com/repos/pydata/xarray/issues/798 200633312 MDEyOklzc3VlQ29tbWVudDIwMDYzMzMxMg== 4295853 2016-03-24T03:04:25Z 2016-03-24T03:04:25Z CONTRIBUTOR

Repeating @mrocklin:

Dask.array writes data to any object that supports numpy style setitem syntax like the following:

dataset[my_slice] = my_numpy_array

Objects like h5py.Dataset and netcdf objects support this syntax.

So dask.array would work today without modification if we had such an object that represented many netcdf files at once and supported numpy-style setitem syntax, placing the numpy array properly across the right files. This work could happen easily without deep knowledge of either project.

Alternatively, we could make the dask.array.store function optionally lazy so that users (or xarray) could call store many times before triggering execution.

 
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