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  • shoyer · 2 ✖

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  • dataset info in .json format · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
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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   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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   dataset info in .json format 396285440

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