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  • open_mfdataset with proprocess ds[var] · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
483738697 https://github.com/pydata/xarray/issues/2900#issuecomment-483738697 https://api.github.com/repos/pydata/xarray/issues/2900 MDEyOklzc3VlQ29tbWVudDQ4MzczODY5Nw== jbusecke 14314623 2019-04-16T16:39:36Z 2019-04-16T16:39:36Z CONTRIBUTOR

Cool. Ill try to give that a try some time soon

 
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   open_mfdataset with proprocess ds[var] 433833707
483738391 https://github.com/pydata/xarray/issues/2900#issuecomment-483738391 https://api.github.com/repos/pydata/xarray/issues/2900 MDEyOklzc3VlQ29tbWVudDQ4MzczODM5MQ== aaronspring 12237157 2019-04-16T16:38:47Z 2019-04-16T16:38:47Z CONTRIBUTOR

thanks @dcherian that was easier than expected. it speeds up a bit but not much. thanks

 
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   open_mfdataset with proprocess ds[var] 433833707
483733488 https://github.com/pydata/xarray/issues/2900#issuecomment-483733488 https://api.github.com/repos/pydata/xarray/issues/2900 MDEyOklzc3VlQ29tbWVudDQ4MzczMzQ4OA== dcherian 2448579 2019-04-16T16:25:06Z 2019-04-16T16:25:06Z MEMBER

@aaronspring How about return ds[var].to_dataset()? preprocess needs a function that returns a Dataset, not a DataArray.

@jbusecke Here's a keep_vars feature request :)

 
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   open_mfdataset with proprocess ds[var] 433833707

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