issue_comments: 1114347244

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html_url issue_url id node_id user created_at updated_at author_association body reactions performed_via_github_app issue
https://github.com/pydata/xarray/issues/2534#issuecomment-1114347244 https://api.github.com/repos/pydata/xarray/issues/2534 1114347244 IC_kwDOAMm_X85Ca5bs 5635139 2022-05-01T22:04:43Z 2022-05-01T22:04:43Z MEMBER

Sorry these didn't get responses. It's possible that to_dataframe is doing some unstacking that's causing huge arrays to be allocated. I don't doubt these examples are real — though the * 1 example above is very surprising — but we do need reproducible examples to engage.

Please reopen or start a new issue with a reproducible example, thanks.

 
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