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/4598#issuecomment-731743767,https://api.github.com/repos/pydata/xarray/issues/4598,731743767,MDEyOklzc3VlQ29tbWVudDczMTc0Mzc2Nw==,17162724,2020-11-22T12:54:18Z,2020-11-22T12:54:18Z,CONTRIBUTOR,"> Why not pandas.date_range

Good point. Given the ""normal"" spacing of the data that makes sense.

> The problematic variable in this dataset is ""tau""

Ah thanks for the digging into this for me.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,748229907
https://github.com/pydata/xarray/issues/4598#issuecomment-731741542,https://api.github.com/repos/pydata/xarray/issues/4598,731741542,MDEyOklzc3VlQ29tbWVudDczMTc0MTU0Mg==,17162724,2020-11-22T12:37:15Z,2020-11-22T12:37:15Z,CONTRIBUTOR,"> Which functionality are you looking for in xarray that pandas Timestamp objects provide, but cftime objects do not?

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.tz_localize.html

For a bit more reference. I'm working with HyCOM data and want to keep track of 'local time'.

```
ds = xr.open_dataset('https://tds.hycom.org/thredds/dodsC/GLBy0.08/latest', decode_times=False)
reference_date = ds.time.attrs['units'][12:25]
ds['time'] = xr.cftime_range(start=reference_date, periods=len(ds.time), freq='3H')
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,748229907