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/2419#issuecomment-499699528,https://api.github.com/repos/pydata/xarray/issues/2419,499699528,MDEyOklzc3VlQ29tbWVudDQ5OTY5OTUyOA==,221526,2019-06-06T23:04:11Z,2019-06-06T23:04:11Z,CONTRIBUTOR,"So I ran into this working with a climate scientist the other day. The use case we had was given some model output that had data like:
```
<xarray.DataArray 'NBP' (time: 1932, lat: 192, lon: 288)>
[106831872 values with dtype=float32]
Coordinates:
  * lat      (lat) float32 -90.0 -89.057594 -88.11518 ... 89.057594 90.0
  * lon      (lon) float32 0.0 1.25 2.5 3.75 5.0 ... 355.0 356.25 357.5 358.75
  * time     (time) object 1850-02-01 00:00:00 ... 2011-01-01 00:00:00
```
we wanted to reshape to turn time into two dimensions (""year"", ""month""). This was to facilitate looking at the `max` and `min` as a function of ""month"", take the difference, and then average over ""year"". Is there a way to do this already that I'm not aware of?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,361237908