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/561#issuecomment-140419634,https://api.github.com/repos/pydata/xarray/issues/561,140419634,MDEyOklzc3VlQ29tbWVudDE0MDQxOTYzNA==,10194086,2015-09-15T14:54:53Z,2015-09-15T14:54:53Z,MEMBER,"Thanks
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,105442957
https://github.com/pydata/xarray/issues/561#issuecomment-138743009,https://api.github.com/repos/pydata/xarray/issues/561,138743009,MDEyOklzc3VlQ29tbWVudDEzODc0MzAwOQ==,1217238,2015-09-09T01:00:49Z,2015-09-09T01:00:49Z,MEMBER,"Adding a dedicated method for calculating percentiles/quantiles would also be a good idea: https://github.com/xray/xray/issues/303
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,105442957
https://github.com/pydata/xarray/issues/561#issuecomment-138729068,https://api.github.com/repos/pydata/xarray/issues/561,138729068,MDEyOklzc3VlQ29tbWVudDEzODcyOTA2OA==,5356122,2015-09-08T23:18:43Z,2015-09-08T23:18:43Z,MEMBER,"```
ds = xray.tutorial.load_dataset('air_temperature')
percents = ds.groupby('time.month').reduce(np.percentile, q=5)
```

Producing:

```
In [80]: percents
Out[80]:
<xray.Dataset>
Dimensions:  (month: 12)
Coordinates:
  * month    (month) int64 1 2 3 4 5 6 7 8 9 10 11 12
Data variables:
    air      (month) float64 239.7 239.3 244.3 251.7 261.4 271.5 274.0 272.5 ...
```
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,105442957