Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/11543#discussion_r55293326
--- Diff: python/pyspark/sql/dataframe.py ---
@@ -974,6 +974,35 @@ def dropDuplicates(self, subset=None):
jdf = self._jdf.dropDuplicates(self._jseq(subset))
return DataFrame(jdf, self.sql_ctx)
+ @since(1.4)
+ def drop_duplicates(self, subset=None):
+ """Return a new :class:`DataFrame` with duplicate rows removed,
+ optionally only considering certain columns.
+
+ :func:`dropDuplicates` is an alias for :func:`drop_duplicates`.
+
+ >>> from pyspark.sql import Row
+ >>> df = sc.parallelize([ \
+ Row(name='Alice', age=5, height=80), \
+ Row(name='Alice', age=5, height=80), \
+ Row(name='Alice', age=10, height=80)]).toDF()
+ >>> df.drop_duplicates().show()
+ +---+------+-----+
+ |age|height| name|
+ +---+------+-----+
+ | 5| 80|Alice|
+ | 10| 80|Alice|
+ +---+------+-----+
+
+ >>> df.drop_duplicates(['name', 'height']).show()
+ +---+------+-----+
+ |age|height| name|
+ +---+------+-----+
+ | 5| 80|Alice|
+ +---+------+-----+
+ """
--- End diff --
@rxin and I are worried about these docs diverging overtime. I think we
should have it delegate (as it does today) and have the docs simply say
":func:`dropDuplicates` is an alias for :func:`drop_duplicates`."
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