[MINOR] [SQL] Fix sphinx warnings in PySpark SQL

Author: MechCoder <manojkumarsivaraj334@gmail.com>

Closes #8171 from MechCoder/sql_sphinx.

(cherry picked from commit 52c60537a274af5414f6b0340a4bd7488ef35280)
Signed-off-by: Xiangrui Meng <meng@databricks.com>

2 files changed, 7 insertions, 5 deletions

diff --git a/python/pyspark/context.py b/python/pyspark/context.py
index eb5b0bbbda..1b2a52ad64 100644
--- a/python/pyspark/context.py
+++ b/python/pyspark/context.py
@@ -302,10 +302,10 @@ class SparkContext(object):
         """
         A unique identifier for the Spark application.
         Its format depends on the scheduler implementation.
-        (i.e.
-            in case of local spark app something like 'local-1433865536131'
-            in case of YARN something like 'application_1433865536131_34483'
-        )
+
+        * in case of local spark app something like 'local-1433865536131'
+        * in case of YARN something like 'application_1433865536131_34483'
+
         >>> sc.applicationId  # doctest: +ELLIPSIS
         u'local-...'
         """
diff --git a/python/pyspark/sql/types.py b/python/pyspark/sql/types.py
index c083bf8990..ed4e5b594b 100644
--- a/python/pyspark/sql/types.py
+++ b/python/pyspark/sql/types.py
@@ -467,9 +467,11 @@ class StructType(DataType):
         """
         Construct a StructType by adding new elements to it to define the schema. The method accepts
         either:
+
             a) A single parameter which is a StructField object.
             b) Between 2 and 4 parameters as (name, data_type, nullable (optional),
-             metadata(optional). The data_type parameter may be either a String or a DataType object
+               metadata(optional). The data_type parameter may be either a String or a
+               DataType object.
 
         >>> struct1 = StructType().add("f1", StringType(), True).add("f2", StringType(), True, None)
         >>> struct2 = StructType([StructField("f1", StringType(), True),\