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  • An elegant way to guarantee single chunk along dim · 2 ✖

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386719797 https://github.com/pydata/xarray/issues/2103#issuecomment-386719797 https://api.github.com/repos/pydata/xarray/issues/2103 MDEyOklzc3VlQ29tbWVudDM4NjcxOTc5Nw== crusaderky 6213168 2018-05-04T20:10:50Z 2018-05-04T20:11:30Z MEMBER

DOH! I never spotted .sizes. Now I feel like an idiot.

 
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   An elegant way to guarantee single chunk along dim 320104170
386643615 https://github.com/pydata/xarray/issues/2103#issuecomment-386643615 https://api.github.com/repos/pydata/xarray/issues/2103 MDEyOklzc3VlQ29tbWVudDM4NjY0MzYxNQ== shoyer 1217238 2018-05-04T15:49:28Z 2018-05-04T15:49:28Z MEMBER

I think we do both your designs 1 and 2.

One could argue that the implementation would need to happen in dask.array.rechunk

You can actually already write x.rechunk(-1) if x is a dask array, but I overlooked adding support if chunks are specified with a dict (which is what xarray uses). See https://github.com/dask/dask/pull/3469 for the fix.

Add properties to DataArray and Variable, ddims and dshape (happy to hear suggestions about better names), which would return dims and shape as a OrderedDict, just like Dataset.dims and Dataset.shape.

This is exactly what the .sizes property is. So x = x.chunk({dim: x.sizes[dim]}) should already work.

 
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   An elegant way to guarantee single chunk along dim 320104170

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