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/1041#issuecomment-343527624,https://api.github.com/repos/pydata/xarray/issues/1041,343527624,MDEyOklzc3VlQ29tbWVudDM0MzUyNzYyNA==,13906519,2017-11-10T16:56:22Z,2017-11-10T16:56:22Z,NONE,"Ok, do you mean something like this?

```
    ds = xr.open_dataset(fname_data, decode_times=False)
    ds['time_agg'] = xr.full_like(ds['time'], 0)
    ds['time_agg'][:] = np.repeat(np.arange(len(ds['time'])/10), 10)
    ds_agg = ds.groupby('time_agg').mean(dim='time')
```
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,181534708
https://github.com/pydata/xarray/issues/1041#issuecomment-343524554,https://api.github.com/repos/pydata/xarray/issues/1041,343524554,MDEyOklzc3VlQ29tbWVudDM0MzUyNDU1NA==,13906519,2017-11-10T16:45:08Z,2017-11-10T16:45:08Z,NONE,"@shoyer Is it possible to resample using fixed user-defined intervals? I have a non-CF compliant time axis (years -22000 to 1989) and want to aggregate by mean or argmax for 10 year intervals...

Is this possible using resample? ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,181534708