id,node_id,number,title,user,state,locked,assignee,milestone,comments,created_at,updated_at,closed_at,author_association,active_lock_reason,draft,pull_request,body,reactions,performed_via_github_app,state_reason,repo,type
324105458,MDExOlB1bGxSZXF1ZXN0MTg4ODAwMTI4,2152,ENH: Plotting for groupby_bins,222557,closed,0,,,12,2018-05-17T16:53:33Z,2018-10-23T15:20:40Z,2018-10-23T08:19:23Z,NONE,,0,pydata/xarray/pulls/2152,"DataArrays created with e.g. groupy_bins have coords arrays consisting of pd._libs.interval.Interval. Therefore, they cannot be plotted. The small patch replaces the the pd._libs.interval.Interval values with the interval's center point and adds `_center` to the label name. It looks like this: https://gist.github.com/maahn/91da0a8d299ef6567827749cbe2f1913
I don't think there is any need for additional documentation except the `whats-new.rst` or tests(?), but I'm also happy to add them if you think it is required. 

 - [x] Tests added (for all bug fixes or enhancements)
 - [x] Tests passed (for all non-documentation changes)
 - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API 
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2152/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
350112372,MDExOlB1bGxSZXF1ZXN0MjA4MDQxMTcy,2364,Faster unstack,222557,closed,0,,,2,2018-08-13T16:58:30Z,2018-08-15T00:19:13Z,2018-08-15T00:18:28Z,NONE,,0,pydata/xarray/pulls/2364," - [x] Closes #1560 as proposed in issue discussion
 - [X] Tests added (for all bug fixes or enhancements)
 - [x] Tests passed (for all non-documentation changes)
 - [x] ASV benchmark added
 - [x] What's new added.","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2364/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
166449498,MDU6SXNzdWUxNjY0NDk0OTg=,908,Histogram plot of DataArray can be extremely slow,222557,closed,0,,,3,2016-07-19T22:11:38Z,2016-10-22T00:58:11Z,2016-10-22T00:58:11Z,NONE,,,,"The speed of plotting a histogram of a large DataArray depends a lot how you do it:

```
import xarray as xr
import numpy as np
import matplotlib.pyplot as plt

nPoints = 100000
data = xr.DataArray(np.random.random(nPoints),dims=['time'],coords=[np.arange(nPoints)])
```

It take sonly some ms if you use

```
plt.figure()
%time data.plot.hist()

plt.figure()
%time plt.hist(data.values)
```

However, if you omit `.values` it takes extremely long:

```
In [12]: %time plt.hist(data)
CPU times: user 2min, sys: 9.73 s, total: 2min 9s
Wall time: 2min 3s
```

Do if one forgets to add `.values` or to use xarray's plot routine, one can be stuck for a long time. I have to kill python 1-2 per day due to that issue.
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