issue_comments: 652598966
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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/2937#issuecomment-652598966 | https://api.github.com/repos/pydata/xarray/issues/2937 | 652598966 | MDEyOklzc3VlQ29tbWVudDY1MjU5ODk2Ng== | 1197350 | 2020-07-01T19:14:35Z | 2020-07-01T19:14:35Z | MEMBER | My approach here was to use compression and filters to minimize the on-disk storage. Here is my .zarray for the dataset in question
This does not solve the in-memory problem, but that's a numpy issue. |
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