issue_comments: 303541907
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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/pull/1421#issuecomment-303541907 | https://api.github.com/repos/pydata/xarray/issues/1421 | 303541907 | MDEyOklzc3VlQ29tbWVudDMwMzU0MTkwNw== | 1217238 | 2017-05-23T21:46:39Z | 2017-05-23T21:48:18Z | MEMBER | Thanks for giving this a shot!
I'm having a hard time imagining any other serialization formats for serializing arbitrary Python objects. One addition reason for favoring
Yes, this is a little tricky. The current design is not great here. Ideally, though, we would still keep all of the encoding/decoding logic separate from the datastores. I need to think about this a little more. One other concern is how to represent this data on disk in netCDF/HDF5 variables. Ideally, we would have a format that could work -- at least in principle -- with Annoyingly, these libraries currently have incompatible dtype support:
So if we want something that works with both, we'll need to add some additional metadata field in the form of an attribute to indicate how do decoding. Maybe something like I have some inline comments I'll add below. |
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