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/789#issuecomment-388649930,https://api.github.com/repos/pydata/xarray/issues/789,388649930,MDEyOklzc3VlQ29tbWVudDM4ODY0OTkzMA==,6200806,2018-05-13T19:24:18Z,2018-05-13T19:24:18Z,CONTRIBUTOR,Closed by #1252 ?,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,139956689
https://github.com/pydata/xarray/issues/789#issuecomment-222178311,https://api.github.com/repos/pydata/xarray/issues/789,222178311,MDEyOklzc3VlQ29tbWVudDIyMjE3ODMxMQ==,6200806,2016-05-27T15:32:54Z,2016-05-27T15:32:54Z,CONTRIBUTOR,"Pandas has created a poll on their mailing list about this issue...I encourage everybody to speak up there: https://groups.google.com/forum/#!topic/pydata/kk04maBGw1U

(Will blast this to xarray mailing list also)
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,139956689
https://github.com/pydata/xarray/issues/789#issuecomment-219923130,https://api.github.com/repos/pydata/xarray/issues/789,219923130,MDEyOklzc3VlQ29tbWVudDIxOTkyMzEzMA==,2049051,2016-05-18T04:37:03Z,2016-05-18T04:37:03Z,CONTRIBUTOR,"Just curious, has anyone tried to open an issue in pandas for this?
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,139956689
https://github.com/pydata/xarray/issues/789#issuecomment-194973785,https://api.github.com/repos/pydata/xarray/issues/789,194973785,MDEyOklzc3VlQ29tbWVudDE5NDk3Mzc4NQ==,4295853,2016-03-10T17:47:10Z,2016-03-10T17:47:10Z,CONTRIBUTOR,"Thank you very much @shoyer for your very fast reply.  If we fixed the issue in pandas (e.g., your 1) would that be sufficient to resolve the issue or do we also need to enhance `datetime64` also (e.g., your 2)?  What is your recommendation on the best way to proceed and is it even reasonable to do so?
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,139956689
https://github.com/pydata/xarray/issues/789#issuecomment-194966713,https://api.github.com/repos/pydata/xarray/issues/789,194966713,MDEyOklzc3VlQ29tbWVudDE5NDk2NjcxMw==,4295853,2016-03-10T17:27:01Z,2016-03-10T17:27:01Z,CONTRIBUTOR,"See also https://github.com/pydata/xarray/issues/531 (cc @jsbj, @darothen, @jhamman); https://github.com/pydata/xarray/issues/521 (cc @rabernat, @jhamman)

It appears this is an issue with the numpy `datetime64` API (https://github.com/numpy/numpy/issues/6207).
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,139956689
https://github.com/pydata/xarray/issues/789#issuecomment-194964987,https://api.github.com/repos/pydata/xarray/issues/789,194964987,MDEyOklzc3VlQ29tbWVudDE5NDk2NDk4Nw==,4295853,2016-03-10T17:22:11Z,2016-03-10T17:22:11Z,CONTRIBUTOR,"@jhamman and @shoyer, do you know if more general support for times will be provided?

I would say this is a potential roadblock inhibiting easy adoption of this library within the climate community. For example, this is creating problems when we setup and analyze climate models (cc @akturner, @douglasjacobsen, @milenaveneziani). There are obvious work arounds, but they are hacks, e.g., I just add 1700 or some arbitrary year within my wrapper to MPAS at https://github.com/pwolfram/mpas_xarray_wrapper. However, this does not appear to be a viable long-term solution.

Does anyone have some advice on how to better deal with this problem?
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,139956689