issue_comments: 204561404

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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/815#issuecomment-204561404 https://api.github.com/repos/pydata/xarray/issues/815 204561404 MDEyOklzc3VlQ29tbWVudDIwNDU2MTQwNA== 5635139 2016-04-01T20:46:49Z 2016-04-01T20:46:49Z MEMBER

Right, I see. I think it's equivalent only to a pandas slice on Series, rather than a DataFrame.

``` python In [71]: series = pd.Series(range(10))

In [72]: series[series>5] Out[72]: 6 6 7 7 8 8 9 9 dtype: int64

...same as sel_where

In [78]: df =pd.DataFrame(pd.np.arange(40).reshape(4,10))

In [79]: df[(df>11) & (df < 28)] Out[79]: 0 1 2 3 4 5 6 7 8 9 0 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 1 NaN NaN 12 13 14 15 16 17 18 19 2 20 21 22 23 24 25 26 27 NaN NaN 3 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN

...same as where

```

 
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