Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/7554#discussion_r35236115
--- Diff: docs/mllib-data-types.md ---
@@ -372,6 +372,29 @@ long m = mat.numRows();
long n = mat.numCols();
{% endhighlight %}
</div>
+
+<div data-lang="python" markdown="1">
+
+A
[`RowMatrix`](api/python/pyspark.mllib.html#pyspark.mllib.linalg.RowMatrix) can
be created from an `RDD` of Vectors.
+
+{% highlight python %}
+from pyspark.mllib.linalg import DistributedMatrices, Vectors
+
+# Create an RDD of Vectors.
+rows = sc.parallelize([Vectors.dense([1, 2, 3]), Vectors.dense([4, 5, 6]),
Vectors.dense([7, 8, 9]), Vectors.dense([10, 11, 12])])
+
+# Create a RowMatrix from an RDD[Vector].
+mat = DistributedMatrices.rowMatrix(rows)
+
+# Get its size.
+m = mat.numRows() # 4
--- End diff --
nitpick: I think it would be better to just print out the number of rows
and columns.
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