issue_comments: 674579300
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/pull/4155#issuecomment-674579300 | https://api.github.com/repos/pydata/xarray/issues/4155 | 674579300 | MDEyOklzc3VlQ29tbWVudDY3NDU3OTMwMA== | 5323645 | 2020-08-16T21:18:48Z | 2020-08-16T21:48:06Z | NONE | Gotcha! Yes, it is. If I have many points in lat, lon, depth, and time, I should better chunk my input arrays at this stage to speed up the performance. The reason why I asked this question is I thought chunking the input array to do the interpolation should faster than if I didn't chunk the input array. But in my test case, it is not. Please see the attached.
The results I show here is the parallel one way slower than the normal case. |
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