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3 rows where author_association = "MEMBER", issue = 323703742 and user = 5635139 sorted by updated_at descending

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  • max-sixty · 3 ✖

issue 1

  • From pandas to xarray without blowing up memory · 3 ✖

author_association 1

  • MEMBER · 3 ✖
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708616198 https://github.com/pydata/xarray/issues/2139#issuecomment-708616198 https://api.github.com/repos/pydata/xarray/issues/2139 MDEyOklzc3VlQ29tbWVudDcwODYxNjE5OA== max-sixty 5635139 2020-10-14T19:34:53Z 2020-10-14T19:34:53Z MEMBER

As you wish — if there's a motivating example then that has more weight, and big issues should have ample supply of motivating examples. That said, if you have something ready to go, then happy to take a look at it.

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  From pandas to xarray without blowing up memory 323703742
708579401 https://github.com/pydata/xarray/issues/2139#issuecomment-708579401 https://api.github.com/repos/pydata/xarray/issues/2139 MDEyOklzc3VlQ29tbWVudDcwODU3OTQwMQ== max-sixty 5635139 2020-10-14T18:23:16Z 2020-10-14T18:23:16Z MEMBER

Great! Post here / a new issue if something does come up!

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  From pandas to xarray without blowing up memory 323703742
708499472 https://github.com/pydata/xarray/issues/2139#issuecomment-708499472 https://api.github.com/repos/pydata/xarray/issues/2139 MDEyOklzc3VlQ29tbWVudDcwODQ5OTQ3Mg== max-sixty 5635139 2020-10-14T16:00:35Z 2020-10-14T16:00:35Z MEMBER

@mankoff Thanks for the issue, do you have a fuller reproduction? I'm happy to take a look at this.

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  From pandas to xarray without blowing up memory 323703742

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