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/7193#issuecomment-1287593498,https://api.github.com/repos/pydata/xarray/issues/7193,1287593498,IC_kwDOAMm_X85Mvx4a,38346144,2022-10-22T02:51:50Z,2022-10-22T09:51:43Z,NONE,"> Thanks @weipeng1999 . Can you please provide a minimal example showing the syntax and expected output? Can I just copy from the [doc](https://docs.xarray.dev/en/stable/user-guide/indexing.html#more-advanced-indexing) and use comment to mention the change ``` python In [100]: da = xr.DataArray( ....: np.random.rand(4, 2), ....: [ ....: (""time"", pd.date_range(""2000-01-01"", periods=4)), ....: (""space"", [""IA"", ""IL""]), # do not have the ""IN"" label ....: ], ....: ) In [101]: times = xr.DataArray( ....: pd.to_datetime([""2000-01-03"", ""2000-01-02"", ""2000-01-01""]), dims=""new_time"" ....: ) In [102]: # use .reindex instead of .sel ....: # and give the parameter : ""fill_value"" ....: da.reindex(space=xr.DataArray([""IA"", ""IL"", ""IN""], dims=[""new_time""]), time=times, fill_value=np.nan) Out[102]: array([0.92, 0.34, NaN]) # so fill the missing value by np.nan Coordinates: time (new_time) datetime64[ns] 2000-01-03 2000-01-02 2000-01-01 space (new_time)