html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/2656#issuecomment-572293244,https://api.github.com/repos/pydata/xarray/issues/2656,572293244,MDEyOklzc3VlQ29tbWVudDU3MjI5MzI0NA==,7799184,2020-01-08T22:42:01Z,2020-01-08T22:43:25Z,CONTRIBUTOR,Pandas has an option `date_format` in [to_json](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.to_json.html) to serialize it either as iso8601 or epoch. The `encode_times` option to `to_dict` could also be useful...,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,396285440
https://github.com/pydata/xarray/issues/2656#issuecomment-572054942,https://api.github.com/repos/pydata/xarray/issues/2656,572054942,MDEyOklzc3VlQ29tbWVudDU3MjA1NDk0Mg==,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?,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,396285440
https://github.com/pydata/xarray/issues/2656#issuecomment-454179986,https://api.github.com/repos/pydata/xarray/issues/2656,454179986,MDEyOklzc3VlQ29tbWVudDQ1NDE3OTk4Ng==,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`.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,396285440