Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/8620#discussion_r39005911
--- Diff: docs/ml-features.md ---
@@ -512,6 +512,25 @@ DataFrame dataset = jsql.createDataFrame(rdd, schema);
remover.transform(dataset).show();
{% endhighlight %}
</div>
+
+<div data-lang="python" markdown="1">
+[`StopWordsRemover`](api/python/pyspark.ml.html#pyspark.ml.feature.StopWordsRemover)
+takes an input column name, an output column name, a list of stop words,
+and a boolean indicating if the matches should be case sensitive (false
+by default).
+
+{% highlight python %}
+from pyspark.ml.feature import StopWordsRemover
+
+sentenceData = sqlContext.createDataFrame([
+ (0, ["I", "saw", "the", "red", "baloon"]),
+ (1, ["Mary", "had", "a", "little", "lamb"])
+], ["label", "raw"])
+
+remover = StopWordsRemover(inputCol="raw", outputCol="filtered")
+filtered = remover.transform(sentenceData).show()
--- End diff --
* `show()` doesn't return anything
* minor: it would be useful to call `show()` with `truncate=False` for user
guide.
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