pull_requests: 408964137

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id node_id number state locked title user body created_at updated_at closed_at merged_at merge_commit_sha assignee milestone draft head base author_association auto_merge repo url merged_by
408964137 MDExOlB1bGxSZXF1ZXN0NDA4OTY0MTM3 4007 open 0 Allow DataArray.to_series() without invoking sparse.COO.todense() 1634164 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 `isort -rc . && black . && mypy . && flake8` (Sort of: these wanted to modify 7 files beyond the one I touched; didn't commit these changes.) - [ ] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API. 2020-04-25T20:15:16Z 2022-06-09T14:50:17Z     97367f000d06c906a778dfd2868cda39d937e87d     0 b5581fcd49264992acf53e05ea17957f7f2be61b d1e4164f3961d7bbb3eb79037e96cae14f7182f8 FIRST_TIME_CONTRIBUTOR   13221727 https://github.com/pydata/xarray/pull/4007  

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