diff --git a/python/pyspark/sql/readwriter.py b/python/pyspark/sql/readwriter.py
index 3f8a3a7595458..153776d8b4171 100644
--- a/python/pyspark/sql/readwriter.py
+++ b/python/pyspark/sql/readwriter.py
@@ -305,22 +305,22 @@ def table(self, tableName):
 
     @since(1.4)
     def parquet(self, *paths, **options):
-        """Loads Parquet files, returning the result as a :class:`DataFrame`.
+        """
+        Loads Parquet files, returning the result as a :class:`DataFrame`.
 
+        :param mergeSchema: sets whether we should merge schemas collected from all
+            Parquet part-files. This will override ``spark.sql.parquet.mergeSchema``.
+            The default value is specified in ``spark.sql.parquet.mergeSchema``.
         :param recursiveFileLookup: recursively scan a directory for files. Using this option
                                     disables `partition discovery`_.
 
-        You can set the following Parquet-specific option(s) for reading Parquet files:
-            * ``mergeSchema``: sets whether we should merge schemas collected from all \
-                Parquet part-files. This will override ``spark.sql.parquet.mergeSchema``. \
-                The default value is specified in ``spark.sql.parquet.mergeSchema``.
-
         >>> df = spark.read.parquet('python/test_support/sql/parquet_partitioned')
         >>> df.dtypes
         [('name', 'string'), ('year', 'int'), ('month', 'int'), ('day', 'int')]
         """
+        mergeSchema = options.get('mergeSchema', None)
         recursiveFileLookup = options.get('recursiveFileLookup', None)
-        self._set_opts(recursiveFileLookup=recursiveFileLookup)
+        self._set_opts(mergeSchema=mergeSchema, recursiveFileLookup=recursiveFileLookup)
         return self._df(self._jreader.parquet(_to_seq(self._spark._sc, paths)))
 
     @ignore_unicode_prefix
diff --git a/python/pyspark/sql/streaming.py b/python/pyspark/sql/streaming.py
index 93b4c78953860..6359c31ba5655 100644
--- a/python/pyspark/sql/streaming.py
+++ b/python/pyspark/sql/streaming.py
@@ -535,26 +535,25 @@ def orc(self, path, recursiveFileLookup=None):
             raise TypeError("path can be only a single string")
 
     @since(2.0)
-    def parquet(self, path, recursiveFileLookup=None):
-        """Loads a Parquet file stream, returning the result as a :class:`DataFrame`.
+    def parquet(self, path, mergeSchema=None, recursiveFileLookup=None):
+        """
+        Loads a Parquet file stream, returning the result as a :class:`DataFrame`.
+
+        .. note:: Evolving.
 
+        :param mergeSchema: sets whether we should merge schemas collected from all
+            Parquet part-files. This will override ``spark.sql.parquet.mergeSchema``.
+            The default value is specified in ``spark.sql.parquet.mergeSchema``.
         :param recursiveFileLookup: recursively scan a directory for files. Using this option
                                     disables `partition discovery`_.
 
-        You can set the following Parquet-specific option(s) for reading Parquet files:
-            * ``mergeSchema``: sets whether we should merge schemas collected from all \
-                Parquet part-files. This will override ``spark.sql.parquet.mergeSchema``. \
-                The default value is specified in ``spark.sql.parquet.mergeSchema``.
-
-        .. note:: Evolving.
-
         >>> parquet_sdf = spark.readStream.schema(sdf_schema).parquet(tempfile.mkdtemp())
         >>> parquet_sdf.isStreaming
         True
         >>> parquet_sdf.schema == sdf_schema
         True
         """
-        self._set_opts(recursiveFileLookup=recursiveFileLookup)
+        self._set_opts(mergeSchema=mergeSchema, recursiveFileLookup=recursiveFileLookup)
         if isinstance(path, basestring):
             return self._df(self._jreader.parquet(path))
         else: