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  • k-a-mendoza · 3 ✖

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  • How should xarray use/support sparse arrays? · 3 ✖

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551132924 https://github.com/pydata/xarray/issues/3213#issuecomment-551132924 https://api.github.com/repos/pydata/xarray/issues/3213 MDEyOklzc3VlQ29tbWVudDU1MTEzMjkyNA== k-a-mendoza 4605410 2019-11-07T15:37:21Z 2019-11-07T15:37:21Z NONE

@dcherian These examples seem focused on merging from disk, whereas the use-case I'm running into is joining data produced by computation in ram. I'll try updating my xarray installation and see where that gets me.

 
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   How should xarray use/support sparse arrays? 479942077
551090042 https://github.com/pydata/xarray/issues/3213#issuecomment-551090042 https://api.github.com/repos/pydata/xarray/issues/3213 MDEyOklzc3VlQ29tbWVudDU1MTA5MDA0Mg== k-a-mendoza 4605410 2019-11-07T13:57:46Z 2019-11-07T13:57:46Z NONE

@oliverhiggs Ive also noticed a huge computational overhead when joining xarray datasets where the result would be sparse. Something like a minute of computation time to join two 10GB datasets, even when there are no overlapping indices. I'm not sure if a sparse representation would help but its possible we'd get a reduced memory footprint and a faster merge/concat time with this kind of support.

 
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   How should xarray use/support sparse arrays? 479942077
546058673 https://github.com/pydata/xarray/issues/3213#issuecomment-546058673 https://api.github.com/repos/pydata/xarray/issues/3213 MDEyOklzc3VlQ29tbWVudDU0NjA1ODY3Mw== k-a-mendoza 4605410 2019-10-24T19:05:23Z 2019-10-24T19:05:23Z NONE

So how would one change an existing dataset or dataarray to using a sparse representation? something like xr.Dataset.from_dataframe(data_set.to_dataframe(),sparse=True)? seems a little silly to have to convert it to a pandas dataframe and back

 
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   How should xarray use/support sparse arrays? 479942077

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