issues: 606846911
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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 |
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606846911 | MDExOlB1bGxSZXF1ZXN0NDA4OTY0MTM3 | 4007 | Allow DataArray.to_series() without invoking sparse.COO.todense() | 1634164 | open | 0 | 1 | 2020-04-25T20:15:16Z | 2022-06-09T14:50:17Z | FIRST_TIME_CONTRIBUTOR | 0 | pydata/xarray/pulls/4007 | This adds some code (from iiasa/ixmp#317) that allows DataArray.to_series() to be called without invoking sparse.COO.todense() when that is the backing data type. I'm aware this needs some improvement to meet the standard of the existing codebase, so I hope I could ask for some guidance on how to address the following points (including whom to ask about them): - [ ] Make the same improvement in {DataArray,Dataset}.to_dataframe(). - [ ] Possibly move the code out of dataarray.py to a more appropriate location (where?). - [ ] Possibly check for sparse.COO explicitly instead of xarray.core.pycompat.sparse_array_type. Other SparseArray subclasses, e.g. DOK, may not have the same attributes. Standard items:
- [ ] Tests added.
- [x] Passes |
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13221727 | pull |