issue_comments: 328315251

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https://github.com/pydata/xarray/issues/1279#issuecomment-328315251 https://api.github.com/repos/pydata/xarray/issues/1279 328315251 MDEyOklzc3VlQ29tbWVudDMyODMxNTI1MQ== 1217238 2017-09-10T02:24:22Z 2017-09-10T02:24:22Z MEMBER

@darothen Can you give an example of typical shape and chunks for your data when you load it with dask?

My sense is that we would do better to keep everything in the form of (dask) arrays, rather than converting into dataframes. For the highest performance, I would make a dask array routine that combines ghosting, map blocks and bottleneck's rolling window functions. Then it should be straightforward into rolling in place of the existing bottleneck routine.

 
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