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/1279#issuecomment-328731021,https://api.github.com/repos/pydata/xarray/issues/1279,328731021,MDEyOklzc3VlQ29tbWVudDMyODczMTAyMQ==,2443309,2017-09-12T04:13:37Z,2017-09-12T04:13:37Z,MEMBER,see #1568 for PR that adds this,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,208903781
https://github.com/pydata/xarray/issues/1279#issuecomment-328690191,https://api.github.com/repos/pydata/xarray/issues/1279,328690191,MDEyOklzc3VlQ29tbWVudDMyODY5MDE5MQ==,2443309,2017-09-11T23:48:58Z,2017-09-12T04:13:15Z,MEMBER,"@darothen and @shoyer -

Here's a little wrapper function that does the dask and bottleneck piece...

```Python
def dask_rolling_wrapper(moving_func, a, window, min_count=None, axis=-1):
    '''wrapper to apply bottleneck moving window funcs on dask arrays'''
    # inputs for ghost
    if axis < 0:
        axis = a.ndim + axis
    depth = {d: 0 for d in range(a.ndim)}
    depth[axis] = window - 1
    boundary = {d: np.nan for d in range(a.ndim)}
    # create ghosted arrays
    ag = da.ghost.ghost(a, depth=depth, boundary=boundary)
    # apply rolling func
    out = ag.map_blocks(moving_func, window, min_count=min_count,
                        axis=axis, dtype=a.dtype)
    # trim array
    result = da.ghost.trim_internal(out, depth)
    return result
```

I don't think this would be all that difficult to drop into our current `Rolling` class.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,208903781
https://github.com/pydata/xarray/issues/1279#issuecomment-328724745,https://api.github.com/repos/pydata/xarray/issues/1279,328724745,MDEyOklzc3VlQ29tbWVudDMyODcyNDc0NQ==,2443309,2017-09-12T03:30:20Z,2017-09-12T03:30:20Z,MEMBER,@darothen - I'll open a PR in a few minutes. I'll fix the typos.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,208903781
https://github.com/pydata/xarray/issues/1279#issuecomment-284132513,https://api.github.com/repos/pydata/xarray/issues/1279,284132513,MDEyOklzc3VlQ29tbWVudDI4NDEzMjUxMw==,2443309,2017-03-04T06:45:11Z,2017-03-04T06:45:11Z,MEMBER,"An idea...since we only have 1-D rolling methods in xarray, couldn't we just use `map_blocks` with numpy/bottleneck functions when the rolling dimension is completely contained in a dask chunk?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,208903781