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/130#issuecomment-186492043,https://api.github.com/repos/pydata/xarray/issues/130,186492043,MDEyOklzc3VlQ29tbWVudDE4NjQ5MjA0Mw==,2443309,2016-02-20T02:35:09Z,2016-02-20T02:35:09Z,MEMBER,"closed via #668
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,33559045
https://github.com/pydata/xarray/issues/130#issuecomment-132776633,https://api.github.com/repos/pydata/xarray/issues/130,132776633,MDEyOklzc3VlQ29tbWVudDEzMjc3NjYzMw==,1217238,2015-08-19T20:41:28Z,2015-08-19T20:41:28Z,MEMBER,"There's been some related discussion about a better API for the rolling aggregation functions in pandas recently: https://github.com/pydata/pandas/pull/10702
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,33559045
https://github.com/pydata/xarray/issues/130#issuecomment-116411021,https://api.github.com/repos/pydata/xarray/issues/130,116411021,MDEyOklzc3VlQ29tbWVudDExNjQxMTAyMQ==,1217238,2015-06-29T03:22:13Z,2015-08-19T20:01:41Z,MEMBER,"Some further thoughts:
- I would probably implement these as methods on `Dataset`/`DataArray` (e.g., `ds.rolling_mean(dim='time', window=5)` instead of functions. This is different from pandas, but seems slightly more in line with how everything else in pandas/xray operates.
- I don't have a strong opinion whether we use the name `rolling` (like pandas) or `moving`/`move` (like bottleneck). Maybe rolling is slightly more obvious?
- These functions from bottleneck could be easily extended to work on dask arrays by using using ghost: http://dask.pydata.org/en/latest/ghost.html
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,33559045
https://github.com/pydata/xarray/issues/130#issuecomment-74933558,https://api.github.com/repos/pydata/xarray/issues/130,74933558,MDEyOklzc3VlQ29tbWVudDc0OTMzNTU4,1217238,2015-02-18T19:44:13Z,2015-02-18T19:44:13Z,MEMBER,"Wrapping bottleneck for operations like `nanmean` was fixed in #304.
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