issue_comments: 1011136209
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/6059#issuecomment-1011136209 | https://api.github.com/repos/pydata/xarray/issues/6059 | 1011136209 | IC_kwDOAMm_X848RLbR | 488992 | 2022-01-12T15:03:31Z | 2022-01-12T15:03:31Z | CONTRIBUTOR | @huard's latest commit modifies the algorithm so that it uses Kish's effective sample size, as described in the blog where the algorithm comes from: https://aakinshin.net/posts/kish-ess-weighted-quantiles/, which seems to solve the problem mentioned by @mathause. Also he adds support for the interpolation types 4 to 9 (those that share a common way of computing |
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