Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/7554#discussion_r35237175
--- Diff: docs/mllib-data-types.md ---
@@ -431,7 +454,42 @@ long n = mat.numCols();
// Drop its row indices.
RowMatrix rowMat = mat.toRowMatrix();
{% endhighlight %}
-</div></div>
+</div>
+
+<div data-lang="python" markdown="1">
+
+An
[`IndexedRowMatrix`](api/python/pyspark.mllib.html#pyspark.mllib.linalg.IndexedRowMatrix)
can be created from an
+`RDD` of IndexedRows, where
[`IndexedRow`](api/python/pyspark.mllib.html#pyspark.mllib.linalg.IndexedRow)
is a
+wrapper over `(long, Vector)`. An `IndexedRowMatrix` can be converted to
a `RowMatrix` by dropping its row indices.
+
+{% highlight python %}
+from pyspark.mllib.linalg import Vectors, DistributedMatrices, IndexedRow,
IndexedRowMatrix
+
+# Create an RDD of indexed rows.
+# - This can be done explicitly with the IndexedRow class:
+indexedRows = sc.parallelize([IndexedRow(0,Vectors.dense([1, 2, 3])),
IndexedRow(1,Vectors.dense([4, 5, 6])), IndexedRow(2,Vectors.dense([7, 8, 9])),
IndexedRow(3,Vectors.dense([10, 11, 12]))])
--- End diff --
please line break and add spaces after commas.
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