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/pull/1148#issuecomment-265422603,https://api.github.com/repos/pydata/xarray/issues/1148,265422603,MDEyOklzc3VlQ29tbWVudDI2NTQyMjYwMw==,7442202,2016-12-07T11:21:27Z,2016-12-07T11:21:27Z,CONTRIBUTOR,"I think this request is now ready to be pulled, right?
Otherwise I keep merging these what's new lines :-)","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,192816291
https://github.com/pydata/xarray/pull/1148#issuecomment-264471623,https://api.github.com/repos/pydata/xarray/issues/1148,264471623,MDEyOklzc3VlQ29tbWVudDI2NDQ3MTYyMw==,7442202,2016-12-02T14:53:43Z,2016-12-02T14:53:43Z,CONTRIBUTOR,"Sure, I'll make my example into a test.

BTW, I would recommend to keep the default True.

Seaborn's default is indeed shared axes. This makes sense as a FacetGrid is intended to visualize single-source data.

MPL's default is indeed not to share axes. This also makes sense as MPL doesn't have any constraints on the data source.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,192816291
https://github.com/pydata/xarray/pull/1148#issuecomment-264455218,https://api.github.com/repos/pydata/xarray/issues/1148,264455218,MDEyOklzc3VlQ29tbWVudDI2NDQ1NTIxOA==,7442202,2016-12-02T13:36:39Z,2016-12-02T13:40:14Z,CONTRIBUTOR,"Here is an example of a random polar plot that doesn't work without the suggested modification:

```python
import xarray
import numpy as np
from collections import OrderedDict
from datetime import datetime

# define dimensions
dims = OrderedDict([
    ('time',      [datetime(2016,12,1,1,0,0), datetime(2016,12,1,1,20,0)]),
    ('location',  np.arange(3)),
    ('frequency', np.linspace(.1, .5, 20)),
    ('direction', np.linspace(0., 2.*np.pi, 50)),
])

# create random data
E = np.random.rand(*[len(x) for x in dims.itervalues()])

# construct DataArray
darray = xarray.DataArray(E, dims=dims, coords=dims)

# plot data
darray.plot.pcolormesh(col='time', row='location',
                       subplot_kws=dict(projection='polar'),
                       sharex=False, sharey=False)
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,192816291