GitHub user davies opened a pull request:
https://github.com/apache/spark/pull/5513
[SPARK-6911] [SQL] improve accessor for nested types
Support access columns by index in Python:
```
>>> df[df[0] > 3].collect()
[Row(age=5, name=u'Bob')]
```
Access items in ArrayType or MapType
```
>>> df.select(df.l.getItem(0), df.d.getItem("key")).show()
>>> df.select(df.l[0], df.d["key"]).show()
```
Access field in StructType
```
>>> df.select(df.r.getField("b")).show()
>>> df.select(df.r.a).show()
```
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/davies/spark access
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/5513.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #5513
----
commit 11f1df3470d812f867c68e68ec2094cc08577f7d
Author: Davies Liu <[email protected]>
Date: 2015-04-14T18:34:13Z
improve accessor for nested types
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