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/2525#issuecomment-447545224,https://api.github.com/repos/pydata/xarray/issues/2525,447545224,MDEyOklzc3VlQ29tbWVudDQ0NzU0NTIyNA==,6815844,2018-12-15T07:28:13Z,2018-12-15T07:28:13Z,MEMBER,"Thinking its API.
I like `rolling`-like API. One in my mind is
```python
ds.coarsen(x=2, y=2, side='left', trim_excess=True).mean()
```
To apply a customized callable other than `np.mean` to a particular coordinate, it would probably be
```python
ds.coarsen(x=2, y=2, side='left', trim_excess=True).mean(coordinate_apply={'surface_area': np.sum})
```","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,375126758
https://github.com/pydata/xarray/issues/2525#issuecomment-435268965,https://api.github.com/repos/pydata/xarray/issues/2525,435268965,MDEyOklzc3VlQ29tbWVudDQzNTI2ODk2NQ==,6815844,2018-11-02T04:37:35Z,2018-11-02T04:37:35Z,MEMBER,"+1 for `block`

What would the coordinates look like? 
1. apply `func` also for coordinate
2. always apply `mean` to coordinate



","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,375126758
https://github.com/pydata/xarray/issues/2525#issuecomment-434589377,https://api.github.com/repos/pydata/xarray/issues/2525,434589377,MDEyOklzc3VlQ29tbWVudDQzNDU4OTM3Nw==,6815844,2018-10-31T07:36:41Z,2018-10-31T07:36:41Z,MEMBER,"`block_reduce` sounds nice, but I am a little hesitating to add a soft-dependence of scikit-image only for this function...
It is using the strid trick, as we are doing in `rolling.construct`. Maybe we can implement it by ourselves.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,375126758
https://github.com/pydata/xarray/issues/2525#issuecomment-434261896,https://api.github.com/repos/pydata/xarray/issues/2525,434261896,MDEyOklzc3VlQ29tbWVudDQzNDI2MTg5Ng==,6815844,2018-10-30T11:17:17Z,2018-10-30T11:17:17Z,MEMBER,"This is from a [thread at SO](https://stackoverflow.com/questions/52886703/xarray-multidimensional-binning-array-reduction-on-sample-dataset-of-4-x4-to/52981916?noredirect=1#comment93001872_52981916).

Does anyone have an opinion if we add a `bin` (or `rolling_bin`) method to compute the binning?
For the above example, currently we need to do
```python
dsa.rolling(x=2).construct('tmp').isel(x=slice(1, None, 2)).mean('tmp')
```
which is a little complex.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,375126758