issue_comments: 386939918

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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())) ```

 
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