Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/1725#issuecomment-50954571
This looks good. At first, I was concerned that element-wise operations
might change behavior for calling `stats()` on an RDD of Python lists of
numbers (`sc.parallelize([[1, 0, 1], [4, -1, 4]]).stats()`), but that currently
crashes in Spark 1.0, so this patch won't change users' results.
```python
>>> from numpy import maximum
>>> maximum([1, 0, 1], [4, -1, 4])
array([4, 0, 4])
>>> max([1, 0, 1], [4, -1, 4])
[4, -1, 4]
```
I ran the PySpark tests locally and they passed, so I've merged this.
Thanks Jeremy!
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