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  • max-sixty · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
604779924 https://github.com/pydata/xarray/issues/3896#issuecomment-604779924 https://api.github.com/repos/pydata/xarray/issues/3896 MDEyOklzc3VlQ29tbWVudDYwNDc3OTkyNA== max-sixty 5635139 2020-03-27T02:18:48Z 2020-03-27T02:18:48Z MEMBER

OK, that's a bit harder but not impossible. You could take that, run array.astype(float).where(array).bfill(dim, limit=5), or similar? Others will probably have cleaner suggestions...

 
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   consecutive time selection 588126763
604499916 https://github.com/pydata/xarray/issues/3896#issuecomment-604499916 https://api.github.com/repos/pydata/xarray/issues/3896 MDEyOklzc3VlQ29tbWVudDYwNDQ5OTkxNg== max-sixty 5635139 2020-03-26T15:35:19Z 2020-03-26T15:35:19Z MEMBER

IIUC, you could have, in order: - rolling 3 month SST - bool on whether that's above 0.5 - rolling 5 month count of that - bool on whether that's equal to 5

 
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   consecutive time selection 588126763

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   [html_url] TEXT,
   [issue_url] TEXT,
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
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   [created_at] TEXT,
   [updated_at] TEXT,
   [author_association] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [performed_via_github_app] TEXT,
   [issue] INTEGER REFERENCES [issues]([id])
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