issue_comments: 400908763
This data as json
| 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/2256#issuecomment-400908763 | https://api.github.com/repos/pydata/xarray/issues/2256 | 400908763 | MDEyOklzc3VlQ29tbWVudDQwMDkwODc2Mw== | 4338975 | 2018-06-28T04:40:29Z | 2018-06-28T04:40:29Z | NONE | Now worries, at the moment I'm in play mode, everything is new to me pretty much! Ok the aim of this little set up is to be able to do things like compare floats with those nearby or create a climatology for a local area from Argo profiles. for example produce a report for every operational Argo float each cycle and feed that to some kind of AI/ML system to detect bad data in near real time. So initially I need a platform that I can easily data mine historical floats. Now with the pickle solution the entire data set can be accessed with a very small foot print. Why zarr? I seem to remember reading that reading/writing to from HFD5 was limited when compression was turned on. Plus I like the way zarr does things it looks a lot more fault tolerant Keep asking the questions they are very valuable Are you going to the pangeo meeting? |
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