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  • dataset info in .json format · 9 ✖
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
572146221 https://github.com/pydata/xarray/issues/2656#issuecomment-572146221 https://api.github.com/repos/pydata/xarray/issues/2656 MDEyOklzc3VlQ29tbWVudDU3MjE0NjIyMQ== shoyer 1217238 2020-01-08T16:23:35Z 2020-01-08T16:23:35Z MEMBER

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

What's the right way to serialize datetime objects in JSON?

One option would be to add an encode_times option to to_dict that creates the units attribute.

 
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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
462912011 https://github.com/pydata/xarray/issues/2656#issuecomment-462912011 https://api.github.com/repos/pydata/xarray/issues/2656 MDEyOklzc3VlQ29tbWVudDQ2MjkxMjAxMQ== jhamman 2443309 2019-02-12T20:01:07Z 2019-02-12T20:01:07Z MEMBER

It would be good to figure out if either of these are used. It's not too late to update your implementation. 

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462902513 https://github.com/pydata/xarray/issues/2656#issuecomment-462902513 https://api.github.com/repos/pydata/xarray/issues/2656 MDEyOklzc3VlQ29tbWVudDQ2MjkwMjUxMw== rabernat 1197350 2019-02-12T19:35:08Z 2019-02-12T19:35:08Z MEMBER

Since my PR was merged, I have discovered two different JSON representations of netcdf - https://binary-array-ld.github.io/netcdf-ld/ - http://cf-json.org/specification

Oops!

 
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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
451777071 https://github.com/pydata/xarray/issues/2656#issuecomment-451777071 https://api.github.com/repos/pydata/xarray/issues/2656 MDEyOklzc3VlQ29tbWVudDQ1MTc3NzA3MQ== jhamman 2443309 2019-01-06T21:35:50Z 2019-01-06T21:35:50Z MEMBER

Just to say, I really like this idea. I think I prefer the ds.to_dict syntax but feel like we could also work on making ds.info() more useful through some relatively simple changes.

 
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   dataset info in .json format 396285440
451771761 https://github.com/pydata/xarray/issues/2656#issuecomment-451771761 https://api.github.com/repos/pydata/xarray/issues/2656 MDEyOklzc3VlQ29tbWVudDQ1MTc3MTc2MQ== rabernat 1197350 2019-01-06T20:24:48Z 2019-01-06T20:24:48Z MEMBER

I will ping @dopplershift of Unidata, my go-to for all things netCDF. 😉 Ryan, do you know of any work on this area? The best I could google is this thread from the netcdf mailing list.

 
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   dataset info in .json format 396285440
451771539 https://github.com/pydata/xarray/issues/2656#issuecomment-451771539 https://api.github.com/repos/pydata/xarray/issues/2656 MDEyOklzc3VlQ29tbWVudDQ1MTc3MTUzOQ== shoyer 1217238 2019-01-06T20:21:23Z 2019-01-06T20:21:23Z MEMBER

I like the look of ds.to_dict(data=False). I'm pretty sure this topic has come up before -- there is definitely value in having a standard way to express the schema of xarray.Dataset objects.

ds.info(format='json') is another option, though a slightly weird feature of ds.info() is that it writes to a buffer rather than returning an object. This is because otherwise you get quotes for a string around the result when you type this at the command line.

 
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