issue_comments: 404733398
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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/1524#issuecomment-404733398 | https://api.github.com/repos/pydata/xarray/issues/1524 | 404733398 | MDEyOklzc3VlQ29tbWVudDQwNDczMzM5OA== | 1217238 | 2018-07-13T05:53:58Z | 2018-07-13T05:53:58Z | MEMBER | @acrosby if you're at SciPy, I'd be happy to chat about this tomorrow or over the weekend if you're staying for the sprints. This is not an immediate priority for me, but it would be straightforward to make quantile work over non-chunked dimensions by rewriting it to use Approximate quantiles over chunked dimensions could be done by leveraging dask.array.percentile, but that algorithm has some accuracy concerns. See https://github.com/dask/dask/issues/1225 for discussion. |
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