issue_comments: 236389759
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/issues/926#issuecomment-236389759 | https://api.github.com/repos/pydata/xarray/issues/926 | 236389759 | MDEyOklzc3VlQ29tbWVudDIzNjM4OTc1OQ== | 1217238 | 2016-07-30T21:02:09Z | 2016-07-30T21:02:09Z | MEMBER | Yes, this is unfortunate, but dask.array can't efficiently flatten (in C order) along chunked dimensions (see https://github.com/dask/dask/pull/758 for discussion). One thing we could do is add an option to dask to flatten arrays in "block contiguous" order. Then we could add an option (or maybe even change the default) to xarray' stack to do block contiguous stacking. If you're interested in working on this, the place to start is the code for dask.array's ravel operation (see the link above for details). |
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