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diff --git a/examples/src/main/python/mllib/summary_statistics_example.py b/examples/src/main/python/mllib/summary_statistics_example.py
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+++ b/examples/src/main/python/mllib/summary_statistics_example.py
@@ -0,0 +1,42 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+from __future__ import print_function
+
+from pyspark import SparkContext
+# $example on$
+import numpy as np
+
+from pyspark.mllib.stat import Statistics
+# $example off$
+
+if __name__ == "__main__":
+    sc = SparkContext(appName="SummaryStatisticsExample")  # SparkContext
+
+    # $example on$
+    mat = sc.parallelize(
+        [np.array([1.0, 10.0, 100.0]), np.array([2.0, 20.0, 200.0]), np.array([3.0, 30.0, 300.0])]
+    )  # an RDD of Vectors
+
+    # Compute column summary statistics.
+    summary = Statistics.colStats(mat)
+    print(summary.mean())  # a dense vector containing the mean value for each column
+    print(summary.variance())  # column-wise variance
+    print(summary.numNonzeros())  # number of nonzeros in each column
+    # $example off$
+
+    sc.stop()