pull_requests: 52455751

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id node_id number state locked title user body created_at updated_at closed_at merged_at merge_commit_sha assignee milestone draft head base author_association auto_merge repo url merged_by
52455751 MDExOlB1bGxSZXF1ZXN0NTI0NTU3NTE= 668 closed 0 Feature/rolling 2443309 This is an initial take at the rolling aggregation object and methods in xray. This PR implements: - A new `Rolling` class available in `DataArray` objects: ``` Python rolling_obj = da.rolling(time=7) ``` - `bottleneck.move_*` functions are wrapped and are available in the following manor: ``` Python rolling_obj.mean() ``` - generic reduce method ``` Python from numpy import nanpercentile rolling_obj.reduce(nanpercentile, q=5) ``` - iterating through the rolling object: ``` Python for label, da_window in rolling_obj: # da_window is a view of da ``` TODO: - [x] Documentation - [x] Cleanup `_setup_windows` - [x] Inject bottleneck methods in some generic way - [x] ~~Possibly create a `Window` object to hold windowed `DataArray`s~~ closes #641 #130 xref pydata/pandas#11603, pydata/pandas#11704 cc @shoyer @bartnijssen 2015-12-02T21:20:34Z 2016-02-20T02:37:52Z 2016-02-20T02:32:33Z 2016-02-20T02:32:33Z e28d39c6c2106fb6b5f3e8e84f27e77d42581fb8     0 68ba033b699d2e4dc36e5fb0659a26233f9d1f64 44059471a1af4a3ad9ac665d2038c17c299451c0 MEMBER   13221727 https://github.com/pydata/xarray/pull/668  

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