Github user ueshin commented on a diff in the pull request:
https://github.com/apache/spark/pull/17865#discussion_r121491673
--- Diff: python/pyspark/sql/functions.py ---
@@ -109,15 +117,29 @@ def _():
'rint': 'Returns the double value that is closest in value to the
argument and' +
' is equal to a mathematical integer.',
'signum': 'Computes the signum of the given value.',
- 'sin': 'Computes the sine of the given value.',
- 'sinh': 'Computes the hyperbolic sine of the given value.',
- 'tan': 'Computes the tangent of the given value.',
- 'tanh': 'Computes the hyperbolic tangent of the given value.',
- 'toDegrees': '.. note:: Deprecated in 2.1, use degrees instead.',
- 'toRadians': '.. note:: Deprecated in 2.1, use radians instead.',
+ 'sin': 'Computes the sine of the given value. Units in radians',
+ 'sinh': 'Computes the hyperbolic sine of the given value. Units in
radians.',
+ 'tan': 'Computes the tangent of the given value. Units in radians.',
+ 'tanh': 'Computes the hyperbolic tangent of the given value. Units in
radians.',
+ 'toDegrees': '.. note:: Deprecated in 2.1, use :func:`degrees`
instead.',
+ 'toRadians': '.. note:: Deprecated in 2.1, use :func:`radians`
instead.',
'bitwiseNOT': 'Computes bitwise not.',
}
+_collect_list_doc = """
+ Aggregate function: returns a list of objects with duplicates.
+
+ >>> df2 = spark.createDataFrame([('Alice', 2), ('Bob', 5),('Alice',
99)], ('name', 'age'))
+ >>> df2.agg(collect_list('name')).collect()
+ [Row(collect_list(name)=[u'Alice', u'Bob', u'Alice'])]
+ """
+_collect_set_doc = """
+ Aggregate function: returns a set of objects with duplicate elements
eliminated.
+
+ >>> df2 = spark.createDataFrame([('Alice', 2), ('Bob', 5),('Alice',
99)], ('name', 'age'))
--- End diff --
ditto.
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