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/3213#issuecomment-1534238962,https://api.github.com/repos/pydata/xarray/issues/3213,1534238962,IC_kwDOAMm_X85bcqDy,2190658,2023-05-04T07:47:04Z,2023-05-04T07:47:04Z,MEMBER,"Speaking a bit to things like `cumprod`, it's hard to support those natively with sparse data structures in many cases (at least as things stand in the current Numba framework).

While that doesn't apply in the case of `cumprod`, PyData/Sparse also has a policy that if the best algorithm available is a dense one, we simply raise an error, and the user should densify explicitly to avoid filling all available RAM or getting obscure `MemoryError`s.","{""total_count"": 3, ""+1"": 3, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,479942077
https://github.com/pydata/xarray/issues/3213#issuecomment-1014383681,https://api.github.com/repos/pydata/xarray/issues/3213,1014383681,IC_kwDOAMm_X848dkRB,2190658,2022-01-17T10:48:48Z,2022-01-17T10:48:48Z,MEMBER,"For `ffill` specifically, you would get a dense array out anyway, so there's no point to keeping it sparse, unless one did something like run-length-encoding or similar.

As for the `size` issue, PyData/Sparse provides the `nbytes` attribute which could be helpful in determining size.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,479942077
https://github.com/pydata/xarray/issues/3213#issuecomment-615772303,https://api.github.com/repos/pydata/xarray/issues/3213,615772303,MDEyOklzc3VlQ29tbWVudDYxNTc3MjMwMw==,2190658,2020-04-18T08:41:39Z,2020-04-18T08:41:39Z,MEMBER,"Hi. Yes, it’d be nice if we had a meta issue I could then open separate issues for for sllearn implementations.

Performance is not ideal, and I realise that. However I’m working on a more generic solution to performance as I type.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,479942077