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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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473387146 | https://github.com/pydata/xarray/issues/1371#issuecomment-473387146 | https://api.github.com/repos/pydata/xarray/issues/1371 | MDEyOklzc3VlQ29tbWVudDQ3MzM4NzE0Ng== | chunweiyuan 5572303 | 2019-03-15T18:01:31Z | 2019-03-15T18:01:31Z | CONTRIBUTOR | My personal hope is to keep this thread open just for the record. But given the non-activity on the numpy end, I honestly can't promise any resolution to this issue in the near future. Thanks! PS I persist because some people do seem to appreciate that PR and have forked it for their own use :) |
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473033854 | https://github.com/pydata/xarray/issues/1371#issuecomment-473033854 | https://api.github.com/repos/pydata/xarray/issues/1371 | MDEyOklzc3VlQ29tbWVudDQ3MzAzMzg1NA== | chunweiyuan 5572303 | 2019-03-14T19:52:33Z | 2019-03-14T19:52:33Z | CONTRIBUTOR | So, as per suggestion by Stephan, I submitted the PR to numpy instead: https://github.com/numpy/numpy/pull/9211 Despite having possibly the highest number of comments of all active numpy PRs and passing all the tests, it's been sitting in limbo for the last few months. There seems to be quite some uncertainty about what to do with it, and the discussion has gone off tangent a bit to more upstream issues. My hope is still to have it eventually merged into numpy, so that it could be easily ported to xarray. It's proven to be quite useful to my coworkers, as well as some of the numpy users. I believe it'll also serve xarray well. Thank you all for your patience. |
{ "total_count": 1, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 1 } |
Weighted quantile 221366244 | |
293730368 | https://github.com/pydata/xarray/issues/1371#issuecomment-293730368 | https://api.github.com/repos/pydata/xarray/issues/1371 | MDEyOklzc3VlQ29tbWVudDI5MzczMDM2OA== | chunweiyuan 5572303 | 2017-04-12T22:56:42Z | 2017-04-12T22:56:42Z | CONTRIBUTOR | Cool, let me toss it out on the numpy board and see what they think. |
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Weighted quantile 221366244 |
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