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  • dataset info in .json format · 3 ✖

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  • CONTRIBUTOR · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
572293244 https://github.com/pydata/xarray/issues/2656#issuecomment-572293244 https://api.github.com/repos/pydata/xarray/issues/2656 MDEyOklzc3VlQ29tbWVudDU3MjI5MzI0NA== rafa-guedes 7799184 2020-01-08T22:42:01Z 2020-01-08T22:43:25Z CONTRIBUTOR

Pandas has an option date_format in to_json to serialize it either as iso8601 or epoch. The encode_times option to to_dict could also be useful...

 
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   dataset info in .json format 396285440
572054942 https://github.com/pydata/xarray/issues/2656#issuecomment-572054942 https://api.github.com/repos/pydata/xarray/issues/2656 MDEyOklzc3VlQ29tbWVudDU3MjA1NDk0Mg== rafa-guedes 7799184 2020-01-08T13:36:41Z 2020-01-08T13:36:41Z CONTRIBUTOR

Would it make sense having to_json / from_json methods that would take care of datetime serialisation?

 
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   dataset info in .json format 396285440
454179986 https://github.com/pydata/xarray/issues/2656#issuecomment-454179986 https://api.github.com/repos/pydata/xarray/issues/2656 MDEyOklzc3VlQ29tbWVudDQ1NDE3OTk4Ng== dopplershift 221526 2019-01-14T22:07:19Z 2019-01-14T22:07:19Z CONTRIBUTOR

I'm not aware of any standard out there for JSON representation of netCDF, but I know it's been at least (briefly) discussed. @WardF, anything out there you're aware of?

Another spelling of this could be ds.to_dict(header_only=True), which I only suggest to mirror ncdump -h.

 
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   dataset info in .json format 396285440

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