issue_comments: 583775471
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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/pydata/xarray/issues/3762#issuecomment-583775471 | https://api.github.com/repos/pydata/xarray/issues/3762 | 583775471 | MDEyOklzc3VlQ29tbWVudDU4Mzc3NTQ3MQ== | 6491058 | 2020-02-08T20:47:23Z | 2020-02-08T20:47:23Z | NONE |
Thanks for the really quick response. I tried chunking and that is when the performance gets worse (from 5msec per interp to 70msec). I just added the exact chunking you suggested and tested again as well. It is slower but it also only seems to be using 10% of one CPU. I will have to wait until tomorrow to have a try of the ufunc method. It sounds like it might be a workaround so thanks for that suggestion. I still think there is a bug in this case (either in my code or in xarray). |
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