issue_comments: 279181938
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html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
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https://github.com/pydata/xarray/issues/1223#issuecomment-279181938 | https://api.github.com/repos/pydata/xarray/issues/1223 | 279181938 | MDEyOklzc3VlQ29tbWVudDI3OTE4MTkzOA== | 6042212 | 2017-02-11T22:56:56Z | 2017-02-11T22:56:56Z | CONTRIBUTOR | I have developed my example a little to sidestep subclassing you suggest, which seemed tricky to implement. Please see https://gist.github.com/martindurant/06a1e98c91f0033c4649a48a2f943390 (dataset_to/from_zarr functions) I can use the zarr groups structure to mirror at least typical use of xarrays: variables, coordinates and sets of attributes on each. I have tested this with s3 too, stealing a little code from dask to show the idea. |
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