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/5215#issuecomment-826374418,https://api.github.com/repos/pydata/xarray/issues/5215,826374418,MDEyOklzc3VlQ29tbWVudDgyNjM3NDQxOA==,5635139,2021-04-25T19:10:36Z,2021-04-25T19:10:36Z,MEMBER,"`.cumulative` is great! Much better.

The benefit is that the API surface is reduced — e.g. we can have a `.cumulative().integrate()`, rather than a separate `.cumulative_integrate` (and so on, for each aggregation), from https://github.com/pydata/xarray/pull/5153.

The implementation could be as simple as `da.rolling(dim=da.sizes[dim])`. How compatible would dask be with that? How does it compare to the `numpy.ufunc.accumulate(...)` suggestion?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,866826033
https://github.com/pydata/xarray/issues/5215#issuecomment-826364666,https://api.github.com/repos/pydata/xarray/issues/5215,826364666,MDEyOklzc3VlQ29tbWVudDgyNjM2NDY2Ng==,2448579,2021-04-25T18:05:55Z,2021-04-25T18:05:55Z,MEMBER,"IIUC `da.expanding(dim=dim).sum()` is `da.cumsum(dim)` with support for `min_periods` and `center` like `rolling`.

I guess all expanding reductions are basically `numpy.ufunc.accumulate(...)`. The dask versions will be ""interesting"" to write.
https://github.com/dask/dask/blob/f1f37cae96d5e98f8043ea430539a4fffbe62661/dask/array/reductions.py#L1389-L1413

Like @mathause I find ""expanding"" confusing. `.accumulate().sum()` or `.cumulative().sum()` sounds much better to me.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,866826033
https://github.com/pydata/xarray/issues/5215#issuecomment-826345774,https://api.github.com/repos/pydata/xarray/issues/5215,826345774,MDEyOklzc3VlQ29tbWVudDgyNjM0NTc3NA==,10194086,2021-04-25T15:49:56Z,2021-04-25T15:49:56Z,MEMBER,I don't entirely get what the function is supposed to do (even after looking at the pandas docstring) - can you give a an example or two? ,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,866826033