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Diffstat (limited to 'python/pyspark/sql/functions.py')
| -rw-r--r-- | python/pyspark/sql/functions.py | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/python/pyspark/sql/functions.py b/python/pyspark/sql/functions.py index 5873f09ae3..8a478fddf0 100644 --- a/python/pyspark/sql/functions.py +++ b/python/pyspark/sql/functions.py @@ -76,7 +76,7 @@ __all__.sort() def countDistinct(col, *cols): - """ Return a new Column for distinct count of `col` or `cols` + """Returns a new :class:`Column` for distinct count of ``col`` or ``cols``. >>> df.agg(countDistinct(df.age, df.name).alias('c')).collect() [Row(c=2)] @@ -91,7 +91,7 @@ def countDistinct(col, *cols): def approxCountDistinct(col, rsd=None): - """ Return a new Column for approximate distinct count of `col` + """Returns a new :class:`Column` for approximate distinct count of ``col``. >>> df.agg(approxCountDistinct(df.age).alias('c')).collect() [Row(c=2)] @@ -142,7 +142,7 @@ class UserDefinedFunction(object): def udf(f, returnType=StringType()): - """Create a user defined function (UDF) + """Creates a :class:`Column` expression representing a user defined function (UDF). >>> from pyspark.sql.types import IntegerType >>> slen = udf(lambda s: len(s), IntegerType()) |