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/pull/4454#issuecomment-700915602,https://api.github.com/repos/pydata/xarray/issues/4454,700915602,MDEyOklzc3VlQ29tbWVudDcwMDkxNTYwMg==,22488770,2020-09-29T18:56:17Z,2020-09-29T18:56:17Z,CONTRIBUTOR,Cool! Thank you all for your help.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,707745196
https://github.com/pydata/xarray/pull/4454#issuecomment-699190673,https://api.github.com/repos/pydata/xarray/issues/4454,699190673,MDEyOklzc3VlQ29tbWVudDY5OTE5MDY3Mw==,22488770,2020-09-25T22:33:45Z,2020-09-25T22:33:45Z,CONTRIBUTOR,"Thanks @spencerkclark, I have added a test with the decorator you mentioned and edited the formatting in the whats-new file as above. Hopefully it should be good now.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,707745196
https://github.com/pydata/xarray/pull/4454#issuecomment-698507141,https://api.github.com/repos/pydata/xarray/issues/4454,698507141,MDEyOklzc3VlQ29tbWVudDY5ODUwNzE0MQ==,22488770,2020-09-24T18:17:52Z,2020-09-24T18:17:52Z,CONTRIBUTOR,"> Nice! Could you also add a similar test for `timedelta64` data?

Hi @spencerkclark, I have been trying to work on a test for timedelta64 data but I don't think I understand timedelta data very well. I can't seem to come up with an example that raises an `OutOfBoundsTimedelta` error. From what I found online (https://pandas.pydata.org/pandas-docs/stable/user_guide/timedeltas.html), the valid range for nanosecond precision should be about 100000 days. When I try to input an np.timedelta64[D] object of more days than that, it just overflows and gives nonsense without throwing an error. Do you have any suggestions?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,707745196
https://github.com/pydata/xarray/pull/4454#issuecomment-698049781,https://api.github.com/repos/pydata/xarray/issues/4454,698049781,MDEyOklzc3VlQ29tbWVudDY5ODA0OTc4MQ==,22488770,2020-09-24T01:00:44Z,2020-09-24T01:00:44Z,CONTRIBUTOR,"Hi @max-sixty, I have just added what I hope is a good test, I haven't written one before, but tried to base it on others in the test_variable file","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,707745196
https://github.com/pydata/xarray/issues/4427#issuecomment-696258727,https://api.github.com/repos/pydata/xarray/issues/4427,696258727,MDEyOklzc3VlQ29tbWVudDY5NjI1ODcyNw==,22488770,2020-09-21T17:28:34Z,2020-09-21T17:28:34Z,CONTRIBUTOR,"Thanks @spencerkclark for the response, that makes sense. I have been able to get what I needed to work using `cftime`, it just seemed strange to me that `xarray` behaved as it did with datetime64.

I agree it would be nice if an error was raised when dates can't be represented, would this be difficult to implement? I have been hoping to contribute to some open-source projects so if it's not too complex I'd be happy to tackle it, and if you have any advice on where to start with this problem that would be great.","{""total_count"": 2, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 2, ""rocket"": 0, ""eyes"": 0}",,702373263
https://github.com/pydata/xarray/issues/3398#issuecomment-541979383,https://api.github.com/repos/pydata/xarray/issues/3398,541979383,MDEyOklzc3VlQ29tbWVudDU0MTk3OTM4Mw==,22488770,2019-10-15T00:01:37Z,2019-10-15T00:01:37Z,CONTRIBUTOR,"@jhamman yes, I just updated to v0.14 and the issue is still present","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,506914634