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/2284#issuecomment-404641052,https://api.github.com/repos/pydata/xarray/issues/2284,404641052,MDEyOklzc3VlQ29tbWVudDQwNDY0MTA1Mg==,6153603,2018-07-12T20:31:37Z,2018-07-12T20:31:37Z,CONTRIBUTOR,"Thanks, I will gladly exercise patience until then.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,340757861
https://github.com/pydata/xarray/issues/2284#issuecomment-404628605,https://api.github.com/repos/pydata/xarray/issues/2284,404628605,MDEyOklzc3VlQ29tbWVudDQwNDYyODYwNQ==,1217238,2018-07-12T19:44:37Z,2018-07-12T19:44:37Z,MEMBER,"Thanks for bringing this up.

@fujiisoup actually implemented interpolation for datetime64 as part of writing `interp_like()` , which will be in the next release of xarray (0.10.8). With the current development version of xarray:
```
In [6]: import numpy as np

In [7]: ds.interp(lat=60.5, lon=211, time=np.datetime64('2013-01-01T03:14:37'))
Out[7]:
<xarray.Dataset>
Dimensions:  ()
Coordinates:
    lat      float64 60.5
    lon      int64 211
    time     datetime64[ns] 2013-01-01T03:14:37
Data variables:
    air      float64 273.5
Attributes:
    Conventions:  COARDS
    title:        4x daily NMC reanalysis (1948)
    description:  Data is from NMC initialized reanalysis\n(4x/day).  These a...
    platform:     Model
    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...
```

However, you do currently need to wrap your indexer explicitly in a `np.datetime64` object. It would be nice to support casting strings to dates, somewhat like what we do in `.sel()`. This would be a good candidate for a pull request.

(I'll try to release 0.10.8 soon, maybe within the next week)","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,340757861