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issue 1
- encoding of boolean dtype in zarr · 3 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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652598966 | https://github.com/pydata/xarray/issues/2937#issuecomment-652598966 | https://api.github.com/repos/pydata/xarray/issues/2937 | MDEyOklzc3VlQ29tbWVudDY1MjU5ODk2Ng== | rabernat 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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encoding of boolean dtype in zarr 439875798 | |
652358007 | https://github.com/pydata/xarray/issues/2937#issuecomment-652358007 | https://api.github.com/repos/pydata/xarray/issues/2937 | MDEyOklzc3VlQ29tbWVudDY1MjM1ODAwNw== | joshmoore 88113 | 2020-07-01T11:16:40Z | 2020-07-01T11:16:40Z | NONE | @rabernat : I don't assume you've found a workaround for this? |
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encoding of boolean dtype in zarr 439875798 | |
489656124 | https://github.com/pydata/xarray/issues/2937#issuecomment-489656124 | https://api.github.com/repos/pydata/xarray/issues/2937 | MDEyOklzc3VlQ29tbWVudDQ4OTY1NjEyNA== | shoyer 1217238 | 2019-05-06T15:08:41Z | 2019-05-06T15:08:41Z | MEMBER |
Sounds good to me! We clearly don't need to be doing with data stored in zarr. |
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encoding of boolean dtype in zarr 439875798 |
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