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/1605#issuecomment-334233567,https://api.github.com/repos/pydata/xarray/issues/1605,334233567,MDEyOklzc3VlQ29tbWVudDMzNDIzMzU2Nw==,2443309,2017-10-04T17:40:00Z,2017-10-04T17:40:00Z,MEMBER,"Okay, I got it now. Consider this example 

```Python
dates = pd.date_range('2016-01-01', '2016-12-31', freq='D')
# orig = dates[dates != '2016-02-29'] # drop feb 29 and this example will work
orig = dates

da = xr.DataArray(np.random.random((len(orig), 2, 3)), dims=('time', 'x', 'y'), coords={'time': orig})
print(da)

da.resample(time='1D').interpolate('linear')
```
```
<xarray.DataArray (time: 366, x: 2, y: 3)>
array([[[ 0.390107,  0.257026,  0.155619],
        [ 0.151772,  0.98012 ,  0.61582 ]],

       [[ 0.081488,  0.038706,  0.627044],
        [ 0.840926,  0.778831,  0.102756]],

       ..., 
       [[ 0.94791 ,  0.274371,  0.582416],
        [ 0.544428,  0.351174,  0.603062]],

       [[ 0.166722,  0.507593,  0.841115],
        [ 0.099317,  0.649383,  0.842175]]])
Coordinates:
  * time     (time) datetime64[ns] 2016-01-01 2016-01-02 2016-01-03 ...
Dimensions without coordinates: x, y
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-12-e187a9baeec8> in <module>()
      6 print(da)
      7 
----> 8 da.resample(time='1d').interpolate('linear')

~/Dropbox/src/xarray/xarray/core/resample.py in interpolate(self, kind)
    110 
    111         """"""
--> 112         return self._interpolate(kind=kind)
    113 
    114     def _interpolate(self, kind='linear'):

~/Dropbox/src/xarray/xarray/core/resample.py in _interpolate(self, kind)
    204         f = interp1d(x, y, kind=kind, axis=axis, bounds_error=True,
    205                      assume_sorted=True)
--> 206         new_x = self._full_index.values.astype('float')
    207 
    208         # construct new up-sampled DataArray

AttributeError: 'NoneType' object has no attribute 'values'
```

The application here is that I'm doing a QC check on a dataset that is sometimes missing Feb 29. It is sufficient for my application to always resample and fill Feb 29 when its missing. The pandas equivalent works:

```Python
s = pd.Series(np.random.random((len(orig))), index=orig)
new = s.resample('1D').interpolate('linear')
new.equals(s)
```
```
True
```

I think I have a fix for this which I'll push up quickly.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,262847801
https://github.com/pydata/xarray/issues/1605#issuecomment-334226859,https://api.github.com/repos/pydata/xarray/issues/1605,334226859,MDEyOklzc3VlQ29tbWVudDMzNDIyNjg1OQ==,2443309,2017-10-04T17:18:34Z,2017-10-04T17:18:34Z,MEMBER,@darothen - Thanks and interesting. I'm getting the above error in a real world resample operation so I figured they were the same issue. I'll dig into this and add some more detail in a bit. ,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,262847801