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/pull/2312#issuecomment-408230809,https://api.github.com/repos/pydata/xarray/issues/2312,408230809,MDEyOklzc3VlQ29tbWVudDQwODIzMDgwOQ==,17162724,2018-07-26T20:50:22Z,2018-07-26T20:50:22Z,CONTRIBUTOR,"@fujiisoup I would like to add another example on how to update a `DataArray` with the interpolated data. I looked in http://xarray.pydata.org/en/stable/combining.html but couldn't work out how best to do it.

I tried using `merge` but it requires the `DataArray`'s to be named.

I used `concat` in this example but it is not correct as I would like the coordinates to be in order (in-place may be the right word). 

```
import xarray as xr
import pandas as pd
import numpy as np

da_dt64 = xr.DataArray([1, 3], [('time', pd.date_range('1/1/2000', '1/3/2000', periods=2))])
a = da_dt64.interp(time=np.datetime64('2000-01-02'))
xr.concat([da_dt64, a], dim='time')
#<xarray.DataArray (time: 3)>
#array([ 1.,  3.,  2.])
#Coordinates:
#  * time     (time) datetime64[ns] 2000-01-01 2000-01-03 2000-01-02
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,344608441