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/3141#issuecomment-866754084,https://api.github.com/repos/pydata/xarray/issues/3141,866754084,MDEyOklzc3VlQ29tbWVudDg2Njc1NDA4NA==,26384082,2021-06-23T11:23:33Z,2021-06-23T11:23:33Z,NONE,"In order to maintain a list of currently relevant issues, we mark issues as stale after a period of inactivity If this issue remains relevant, please comment here or remove the `stale` label; otherwise it will be marked as closed automatically ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,469633509 https://github.com/pydata/xarray/issues/3141#issuecomment-513636179,https://api.github.com/repos/pydata/xarray/issues/3141,513636179,MDEyOklzc3VlQ29tbWVudDUxMzYzNjE3OQ==,1386642,2019-07-22T04:31:40Z,2019-07-22T04:31:40Z,CONTRIBUTOR,"Xarray has a pretty extensive [contributor's guide](http://xarray.pydata.org/en/stable/contributing.html#contributing-your-changes-to-xarray) that you might find helpful. In short, the way to contribute changes is to create your own fork of xarray, commit/push some changes, and finally submit a pull request (PR).","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,469633509 https://github.com/pydata/xarray/issues/3141#issuecomment-513582194,https://api.github.com/repos/pydata/xarray/issues/3141,513582194,MDEyOklzc3VlQ29tbWVudDUxMzU4MjE5NA==,21049064,2019-07-21T19:45:32Z,2019-07-21T19:45:32Z,NONE,"Would love to! Sorry have been away this weekend. Do i just clone the repo write the code and send in a PR in a new branch? (first PR on a public repo!)","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,469633509 https://github.com/pydata/xarray/issues/3141#issuecomment-513327057,https://api.github.com/repos/pydata/xarray/issues/3141,513327057,MDEyOklzc3VlQ29tbWVudDUxMzMyNzA1Nw==,2448579,2019-07-19T18:17:08Z,2019-07-19T18:17:08Z,MEMBER,@tommylees112 Are you up for sending in a PR. It's an easy fix...,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,469633509 https://github.com/pydata/xarray/issues/3141#issuecomment-512908842,https://api.github.com/repos/pydata/xarray/issues/3141,512908842,MDEyOklzc3VlQ29tbWVudDUxMjkwODg0Mg==,1217238,2019-07-18T17:20:17Z,2019-07-18T17:20:17Z,MEMBER,"It looks like `ds.groupby('time.year').apply(lambda x: x.cumsum(dim='time'))` mostly works for now. But yes, it would be great to add this.","{""total_count"": 3, ""+1"": 3, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,469633509 https://github.com/pydata/xarray/issues/3141#issuecomment-512862204,https://api.github.com/repos/pydata/xarray/issues/3141,512862204,MDEyOklzc3VlQ29tbWVudDUxMjg2MjIwNA==,2448579,2019-07-18T15:20:12Z,2019-07-18T15:20:12Z,MEMBER,I wonder if this is as easy as adding `ops.inject_cum_methods(Dataset.groupby)` at the end of `core/groupby.py`?,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,469633509