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
98274024,MDExOlB1bGxSZXF1ZXN0NDEyODY3ODI=,504,ENH: where method for masking xray objects according to some criteria,1217238,closed,0,,,12,2015-07-30T21:56:00Z,2015-08-01T20:56:33Z,2015-08-01T20:56:31Z,MEMBER,,0,pydata/xarray/pulls/504,"Fixes #503

Example usage:

```
In [13]: x = xray.DataArray(np.arange(9).reshape(3, 3), dims=['x', 'y'])

In [14]: x.where(x > 4)
Out[14]:
<xray.DataArray (x: 3, y: 3)>
array([[ nan,  nan,  nan],
       [ nan,  nan,   5.],
       [  6.,   7.,   8.]])
Coordinates:
  * y        (y) int64 0 1 2
  * x        (x) int64 0 1 2
```

Example from ""What's new"":

```
In [4]: ds = xray.Dataset(coords={'x': range(100), 'y': range(100)})

In [5]: ds['distance'] = np.sqrt(ds.x ** 2 + ds.y ** 2)

In [6]: ds.distance.where(ds.distance < 100).plot()
Out[6]: <matplotlib.image.AxesImage at 0x11a819690>
```

![image](https://cloud.githubusercontent.com/assets/1217238/8996204/156e7dfc-36cb-11e5-8097-fdd1de462a2d.png)
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