Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/17688#discussion_r112823550
--- Diff: python/pyspark/sql/dataframe.py ---
@@ -1238,7 +1238,7 @@ def fillna(self, value, subset=None):
Value to replace null values with.
If the value is a dict, then `subset` is ignored and `value`
must be a mapping
from column name (string) to replacement value. The
replacement value must be
- an int, long, float, or string.
+ an int, long, float, boolean, or string.
--- End diff --
That makes sense, I'd say that the eventual improvement would maybe be
offering `fill` for bool for symetry with the rest of the types but its not
necessary here rather than type checking for bool on the input.
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