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/358#issuecomment-291568964,https://api.github.com/repos/pydata/xarray/issues/358,291568964,MDEyOklzc3VlQ29tbWVudDI5MTU2ODk2NA==,4992424,2017-04-04T17:14:18Z,2017-04-04T17:14:18Z,NONE,"[Proof of concept, borrowing liberally from pandas](https://gist.github.com/anonymous/6254b1f682e05d10aaf51d93ed343534). I think this will be pretty straightforward to hook up into xarray. I wonder, is there any way to register such an accessor with `DataArray`s  that have a specific dtype? Ideally we'd only want to expose this accessor if a DataArray was a numpy.datetime64 type under the hood.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,59720901
https://github.com/pydata/xarray/issues/358#issuecomment-291228898,https://api.github.com/repos/pydata/xarray/issues/358,291228898,MDEyOklzc3VlQ29tbWVudDI5MTIyODg5OA==,4992424,2017-04-03T18:20:32Z,2017-04-03T18:20:32Z,NONE,"Working on a project today which would greatly benefit from having the .dt accessors. Given that this issue is nearly two years old, any thoughts on what it would take to resolve in the present codebase? Still as straightforward as wrappers on the pandas time series methods?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,59720901