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-rw-r--r--python/pyspark/sql/dataframe.py18
1 files changed, 12 insertions, 6 deletions
diff --git a/python/pyspark/sql/dataframe.py b/python/pyspark/sql/dataframe.py
index 50373b8585..188808b431 100644
--- a/python/pyspark/sql/dataframe.py
+++ b/python/pyspark/sql/dataframe.py
@@ -1271,16 +1271,22 @@ class DataFrame(object):
"""Returns a new :class:`DataFrame` replacing a value with another value.
:func:`DataFrame.replace` and :func:`DataFrameNaFunctions.replace` are
aliases of each other.
-
- :param to_replace: int, long, float, string, or list.
+ Values to_replace and value should contain either all numerics, all booleans,
+ or all strings. When replacing, the new value will be cast
+ to the type of the existing column.
+ For numeric replacements all values to be replaced should have unique
+ floating point representation. In case of conflicts (for example with `{42: -1, 42.0: 1}`)
+ and arbitrary replacement will be used.
+
+ :param to_replace: bool, int, long, float, string, list or dict.
Value to be replaced.
If the value is a dict, then `value` is ignored and `to_replace` must be a
- mapping from column name (string) to replacement value. The value to be
- replaced must be an int, long, float, or string.
+ mapping between a value and a replacement.
: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. If `value` is a
- list or tuple, `value` should be of the same length with `to_replace`.
+ list, `value` should be of the same length and type as `to_replace`.
+ If `value` is a scalar and `to_replace` is a sequence, then `value` is
+ used as a replacement for each item in `to_replace`.
: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,