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/5767#issuecomment-914754778,https://api.github.com/repos/pydata/xarray/issues/5767,914754778,IC_kwDOAMm_X842hgza,23625371,2021-09-08T01:06:28Z,2021-09-08T01:06:28Z,CONTRIBUTOR,"Thanks @TomNicholas and @mathause. I've opened a new PR (#5776), turns out all the tests are well setup already, I just needed to be told where to look. Cheers!","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,988426640
https://github.com/pydata/xarray/pull/5767#issuecomment-914653049,https://api.github.com/repos/pydata/xarray/issues/5767,914653049,IC_kwDOAMm_X842hH95,10194086,2021-09-07T21:53:44Z,2021-09-07T21:53:44Z,MEMBER,"Maybe something like this:

```python
attrs = dict(units=""days since 1850-01-01"", calendar=""proleptic_gregorian"")
ds1 = xr.Dataset(coords=dict(time=(""time"", [164678], attrs)))
xr.conventions.decode_cf(ds1)
```

(or you can directly create two time arrays as suggested by @TomNicholas )","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,988426640
https://github.com/pydata/xarray/pull/5767#issuecomment-913090831,https://api.github.com/repos/pydata/xarray/issues/5767,913090831,IC_kwDOAMm_X842bKkP,41898282,2021-09-05T05:43:30Z,2021-09-05T07:52:46Z,CONTRIBUTOR,"## Unit Test Results
         6 files           6 suites   54m 53s :stopwatch:
16 229 tests 14 494 :heavy_check_mark: 1 735 :zzz: 0 :x:
90 570 runs  82 393 :heavy_check_mark: 8 177 :zzz: 0 :x:

Results for commit 548644aa.

:recycle: This comment has been updated with latest results.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,988426640
https://github.com/pydata/xarray/pull/5767#issuecomment-913098489,https://api.github.com/repos/pydata/xarray/issues/5767,913098489,IC_kwDOAMm_X842bMb5,23625371,2021-09-05T07:07:16Z,2021-09-05T07:07:16Z,CONTRIBUTOR,"> use_cftime=True

I knew there must be a more elegant option, thanks!","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,988426640
https://github.com/pydata/xarray/pull/5767#issuecomment-913094980,https://api.github.com/repos/pydata/xarray/issues/5767,913094980,IC_kwDOAMm_X842bLlE,10194086,2021-09-05T06:31:41Z,2021-09-05T06:31:41Z,MEMBER,"I like the idea. I would still raise an error, though.Maybe: ""Found a mix of pandas and cftime datetime data types. Re-opening the data with the option ``use_cftime=True`` may fix this issue."" That would be less magic and should tell the users what's going wrong. In addition we would not need an additional keyword argument. I expect a `merge_by_coords` operation to be typically fairly early in the analysis pipeline.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,988426640
https://github.com/pydata/xarray/pull/5767#issuecomment-913089052,https://api.github.com/repos/pydata/xarray/issues/5767,913089052,IC_kwDOAMm_X842bKIc,23625371,2021-09-05T05:19:45Z,2021-09-05T05:19:45Z,CONTRIBUTOR,@mathause what do you think?,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,988426640