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/1335#issuecomment-468512628,https://api.github.com/repos/pydata/xarray/issues/1335,468512628,MDEyOklzc3VlQ29tbWVudDQ2ODUxMjYyOA==,26384082,2019-03-01T02:00:07Z,2019-03-01T02:00:07Z,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}",,217584777
https://github.com/pydata/xarray/issues/1335#issuecomment-290570531,https://api.github.com/repos/pydata/xarray/issues/1335,290570531,MDEyOklzc3VlQ29tbWVudDI5MDU3MDUzMQ==,1217238,2017-03-30T23:09:19Z,2017-03-30T23:09:19Z,MEMBER,Someone also wanted a default dimension for `diff`: https://github.com/pydata/xarray/pull/1131,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,217584777
https://github.com/pydata/xarray/issues/1335#issuecomment-289853741,https://api.github.com/repos/pydata/xarray/issues/1335,289853741,MDEyOklzc3VlQ29tbWVudDI4OTg1Mzc0MQ==,1217238,2017-03-28T18:00:45Z,2017-03-28T18:00:45Z,MEMBER,"Yes, it would be reasonable to not require specifying the dimension for one-dimensional arguments.

I recall this coming up before for other methods, but can't remember the particulars now.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,217584777
https://github.com/pydata/xarray/issues/1335#issuecomment-289832319,https://api.github.com/repos/pydata/xarray/issues/1335,289832319,MDEyOklzc3VlQ29tbWVudDI4OTgzMjMxOQ==,4295853,2017-03-28T16:47:36Z,2017-03-28T16:47:36Z,CONTRIBUTOR,"Thanks @fmaussion, it just seems strange that if the data is one-dimensional we return an error. I would agree that we probably want an error for dimensionality larger than one.  I think the thing to change here is to make `da.cumsum()` work for one-dimensional `da`. But, it may not be worth the effort to fix this issue relative to other issues.  ","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,217584777
https://github.com/pydata/xarray/issues/1335#issuecomment-289806577,https://api.github.com/repos/pydata/xarray/issues/1335,289806577,MDEyOklzc3VlQ29tbWVudDI4OTgwNjU3Nw==,10050469,2017-03-28T15:24:58Z,2017-03-28T15:24:58Z,MEMBER,"I'm not sure that whether coordinates should play a role here, but rather the dimensionality of the data (i.e. maybe xarray could infer that the data has one dimension and work on that axis?).

I personally find the numpy behavior with ndarrays (flattening the array before applying cumsum) quite dangerous, I would rather like it to raise an error...

```python
a = np.arange(12).reshape((4, 3))
np.cumsum(a)
array([ 0,  1,  3,  6, 10, 15, 21, 28, 36, 45, 55, 66])
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,217584777