issue_comments: 404628605

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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)

 
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