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/1019#issuecomment-251238760,https://api.github.com/repos/pydata/xarray/issues/1019,251238760,MDEyOklzc3VlQ29tbWVudDI1MTIzODc2MA==,17701232,2016-10-03T21:54:22Z,2016-10-03T21:54:38Z,NONE,"@rabernat @shoyer  thank you very much  - (at least for my purposes)  this appears to be working well.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,179969119
https://github.com/pydata/xarray/issues/1019#issuecomment-250773817,https://api.github.com/repos/pydata/xarray/issues/1019,250773817,MDEyOklzc3VlQ29tbWVudDI1MDc3MzgxNw==,17701232,2016-09-30T15:24:31Z,2016-09-30T15:24:31Z,NONE,"Thanks @shoyer and @rabernat . @gidden and I may have a go next week.
Otherwise if someone wants to jump in, I made a notebook to test/demonstrate the issue.
[groupby_bins_test_nb.zip](https://github.com/pydata/xarray/files/503278/groupby_bins_test_nb.zip)
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,179969119
https://github.com/pydata/xarray/issues/1019#issuecomment-250496630,https://api.github.com/repos/pydata/xarray/issues/1019,250496630,MDEyOklzc3VlQ29tbWVudDI1MDQ5NjYzMA==,17701232,2016-09-29T15:15:44Z,2016-09-29T15:15:44Z,NONE,"0.8.2 updated from conda a few days ago. I'll try the master. Thanks
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,179969119
https://github.com/pydata/xarray/issues/1019#issuecomment-250492101,https://api.github.com/repos/pydata/xarray/issues/1019,250492101,MDEyOklzc3VlQ29tbWVudDI1MDQ5MjEwMQ==,17701232,2016-09-29T15:00:02Z,2016-09-29T15:00:02Z,NONE,"@rabernat I don't have much capability to help, but if any changes are made I am happy to help test this particular case.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,179969119
https://github.com/pydata/xarray/issues/1019#issuecomment-250486102,https://api.github.com/repos/pydata/xarray/issues/1019,250486102,MDEyOklzc3VlQ29tbWVudDI1MDQ4NjEwMg==,17701232,2016-09-29T14:40:43Z,2016-09-29T14:40:43Z,NONE,"So if I plot the current output  as a bar chart/histogram, that bin interval will be skipped. For example if I did:
`plt.plot(binns[0:-2], binned) #using left edges of the bins`
I would get an error if a bin present in `binns` has been skipped in `binned`.

I guess that perhaps there is a cleverer way of plotting the output data than this. 

This leads to more important questions:
1. Do you know the logic to the ordering of the binned data and the bin objects? In this example, the bins input is  monotonically increasing, but the bin object does not correspond. 
   e.g. 

```
binns = [-100, -50, 0, 50, 50.00001, 100]
array(['(0, 50]', '(-50, 0]', '(51, 100]', '(-100, -50]'], dtype=object)
```
1. Does the order of output values in the summed array (`binned`) correspond to the input bins or the output bin object? If the latter, how do I reorder the data more in line with the monotonically increasing input bins array?

Thanks
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