issue_comments: 332519089

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https://github.com/pydata/xarray/issues/1596#issuecomment-332519089 https://api.github.com/repos/pydata/xarray/issues/1596 332519089 MDEyOklzc3VlQ29tbWVudDMzMjUxOTA4OQ== 4992424 2017-09-27T13:23:38Z 2017-09-27T13:23:38Z NONE

@willirath is your time data equally spaced? If so, you should be able to use the new version of DataArray.resample() available on the master (and scheduled for the 0.10.0 release) which supports upsampling/infilling.

Should work something like this, assuming each timestep is a daily value on the time axis:

``` python ds = xr.open_mfdataset("paths/to/my/data.nc")

ds_infilled = ds.resample(time='1D').asfreq() ```

That should get you nans wherever your data is missing.

 
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