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/2105#issuecomment-386939918,https://api.github.com/repos/pydata/xarray/issues/2105,386939918,MDEyOklzc3VlQ29tbWVudDM4NjkzOTkxOA==,1217238,2018-05-07T02:23:13Z,2018-05-07T02:23:13Z,MEMBER,"> I'm not sure I follow. Roundtrip is easier now since the original time unit dtype is preserved, no? Ping rsignell-usgs who is a netCDF/CF specialist 

To clarify: I would like to be able to round-trip something like the following dataset to netCDF. The following code should still work without raising an error:
```
In [30]: import xarray

In [31]: import pandas as pd

In [32]: ds = xarray.Dataset({'foo': ('dt', [1, 2, 3])}, {'dt': pd.to_timedelta(['1 day', '2 days', '
    ...: 3 days'])})

In [33]: ds
Out[33]:
<xarray.Dataset>
Dimensions:  (dt: 3)
Coordinates:
  * dt       (dt) timedelta64[ns] 1 days 2 days 3 days
Data variables:
    foo      (dt) int64 1 2 3

In [34]: assert ds.identical(xarray.open_dataset(ds.to_netcdf()))
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,320283034