[MINOR][DOCS] Adding missing boolean type for replacement value in fi…

…llna

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.
         :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,

python/pyspark/sql/tests.py

@@ -1711,6 +1711,10 @@ def test_fillna(self):
         self.assertEqual(row.age, None)
         self.assertEqual(row.height, None)
 
+        # fillna with dictionary for boolean types
+        row = self.spark.createDataFrame([Row(a=None), Row(a=True)]).fillna({"a": True}).first()
+        self.assertEqual(row.a, True)
+
     def test_bitwise_operations(self):
         from pyspark.sql import functions
         row = Row(a=170, b=75)