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  • dopplershift · 2 ✖

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  • Problem decoding times in data from OpenDAP server · 2 ✖

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  • CONTRIBUTOR · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
696954231 https://github.com/pydata/xarray/issues/4422#issuecomment-696954231 https://api.github.com/repos/pydata/xarray/issues/4422 MDEyOklzc3VlQ29tbWVudDY5Njk1NDIzMQ== dopplershift 221526 2020-09-22T20:13:50Z 2020-09-22T20:13:50Z CONTRIBUTOR

I'd say in the case of use_ctime=True that it's a bug that it ever uses pandas for date parsing.

 
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   Problem decoding times in data from OpenDAP server 701062999
696508013 https://github.com/pydata/xarray/issues/4422#issuecomment-696508013 https://api.github.com/repos/pydata/xarray/issues/4422 MDEyOklzc3VlQ29tbWVudDY5NjUwODAxMw== dopplershift 221526 2020-09-22T04:56:17Z 2020-09-22T04:56:17Z CONTRIBUTOR

Probably shouldn't raise an error for 1-1-1 since that's valid according to the Climate and Forecasting netCDF conventions (see examples 4.5 and 4.6). In fact, it works perfectly when using use_cftime=True both for the original data and reading in the data from disk.

 
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   Problem decoding times in data from OpenDAP server 701062999

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