Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/6003#discussion_r30088189
--- Diff: python/pyspark/sql/dataframe.py ---
@@ -896,6 +900,76 @@ def fillna(self, value, subset=None):
return DataFrame(self._jdf.na().fill(value,
self._jseq(subset)), self.sql_ctx)
+ def replace(self, to_replace, value, subset=None):
+ """Returns a new :class:`DataFrame` replacing a value with another
value.
+
+ :param to_replace: int, long, float, string, or list.
+ Value to be replaced.
+ The replacement value must be an int, long, float, or string.
+ :param value: int, long, float, string, or list.
+ Value to use to replace holes.
+ The replacement value must be an int, long, float, or string.
+ :param subset: optional list of column names to consider.
+ Columns specified in subset that do not have matching data
type are ignored.
+ For example, if `value` is a string, and subset contains a
non-string column,
+ then the non-string column is simply ignored.
+ >>> df4.replace(10, 20).show()
+ +----+------+-----+
+ | age|height| name|
+ +----+------+-----+
+ | 20| 80|Alice|
+ | 5| null| Bob|
+ |null| null| Tom|
+ |null| null| null|
+ +----+------+-----+
+
+ >>> df4.replace(['Alice', 'Bob'], ['A', 'B'], 'name').show()
+ +----+------+----+
+ | age|height|name|
+ +----+------+----+
+ | 10| 80| A|
+ | 5| null| B|
+ |null| null| Tom|
+ |null| null|null|
+ +----+------+----+
+ """
+ if not isinstance(to_replace, (float, int, long, basestring, list,
tuple)):
--- End diff --
the error handling are pretty nice!
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