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2 rows where author_association = "MEMBER", issue = 701062999 and user = 2448579 sorted by updated_at descending

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  • dcherian · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
696787447 https://github.com/pydata/xarray/issues/4422#issuecomment-696787447 https://api.github.com/repos/pydata/xarray/issues/4422 MDEyOklzc3VlQ29tbWVudDY5Njc4NzQ0Nw== dcherian 2448579 2020-09-22T15:14:25Z 2020-09-22T15:14:25Z MEMBER

shouldn't raise an error for 1-1-1 since that's valid according to the Climate and Forecasting netCDF conventions

OK good point. Thanks @dopplershift

One solution would be to extract this bit of the units string and 0-pad as necessary before passing to pandas. We would have to be careful to keep the unmodified units attribute in encoding.

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  Problem decoding times in data from OpenDAP server 701062999
696324438 https://github.com/pydata/xarray/issues/4422#issuecomment-696324438 https://api.github.com/repos/pydata/xarray/issues/4422 MDEyOklzc3VlQ29tbWVudDY5NjMyNDQzOA== dcherian 2448579 2020-09-21T19:30:13Z 2020-09-21T19:30:13Z MEMBER

This is an unusual format -- ordinarily we'd expect zero-padded year, month, and day values.

Can we raise an error here? Interpreting 1-1-1 as 2001-01-01 is really weird.

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  Problem decoding times in data from OpenDAP server 701062999

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