id,node_id,number,title,user,state,locked,assignee,milestone,comments,created_at,updated_at,closed_at,author_association,active_lock_reason,draft,pull_request,body,reactions,performed_via_github_app,state_reason,repo,type
480786385,MDU6SXNzdWU0ODA3ODYzODU=,3218,merge_asof functionality,923438,closed,0,,,6,2019-08-14T16:57:22Z,2021-07-21T18:18:20Z,2021-07-21T18:18:20Z,NONE,,,,"Would it be possible to add some functionality to xarray merge that mimics pandas merge_asof ? This would be very useful when aligning timeseries dataarrays where the two arrays are misaligned.

Thanks.","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3218/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue
496688781,MDU6SXNzdWU0OTY2ODg3ODE=,3330,Feature requests for DataArray.rolling,923438,closed,0,,,1,2019-09-21T18:58:21Z,2021-07-08T16:29:18Z,2021-07-08T16:29:18Z,NONE,,,,"In `DataArray.rolling` it would be really nice to have support for window sizes specified in the units of the dimension (esp. time). For example if `da` has dimensions ```(time, space, feature)``` with `time` as `DatetimeIndex` - then it should be possible specificy  `da.rolling( time=pd.Timedelta( 100, 'D') )` as a valid window
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3330/reactions"", ""total_count"": 4, ""+1"": 4, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue
496809167,MDU6SXNzdWU0OTY4MDkxNjc=,3332,Memory usage of `da.rolling().construct`,923438,closed,0,,,5,2019-09-22T17:35:06Z,2021-02-16T15:00:37Z,2021-02-16T15:00:37Z,NONE,,,,"If I were to do   `data_array.rolling( time=1000 ).construct('temp_time')` - what is going on under hood ? Does it make a 1000 phyiscal copies of the original dataarray - or is it only returning a view ? I feel like it's the latter - but I'm seeing a memory spike (about 20-30% increase in total process memory consumption) when I use it -  so there might be something else going on ?
Any ideas / pointers would be appreciated. Thanks!
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3332/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue