issues: 667864088
This data as json
id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
667864088 | MDU6SXNzdWU2Njc4NjQwODg= | 4285 | Awkward array backend? | 4160723 | open | 0 | 38 | 2020-07-29T13:53:45Z | 2023-12-30T18:47:48Z | MEMBER | Just curious if anyone here has thoughts on this. For more context: Awkward is like numpy but for arrays of very arbitrary (dynamic) structure. I don't know much yet about that library (I've just seen this SciPy 2020 presentation), but now I could imagine using xarray for dealing with labelled collections of geometrical / geospatial objects like polylines or polygons. At this stage, any integration between xarray and awkward arrays would be something highly experimental, but I think this might be an interesting case for flexible arrays (and possibly flexible indexes) mentioned in the roadmap. There is some discussion here: https://github.com/scikit-hep/awkward-1.0/issues/27. Does anyone see any other potential use case? cc @pydata/xarray |
{ "url": "https://api.github.com/repos/pydata/xarray/issues/4285/reactions", "total_count": 6, "+1": 6, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
13221727 | issue |