formatting fixes

Author: d80tb7

examples/src/main/python/sql/arrow.py

@@ -257,19 +257,20 @@ def filter_func(batch_iter):
     # +---+---+
     # $example off:map_iter_pandas_udf$
 
+
 def cogrouped_map_pandas_udf_example(spark):
     # $example on:cogrouped_map_pandas_udf$
     import pandas as pd
 
     from pyspark.sql.functions import pandas_udf, PandasUDFType
 
     df1 = spark.createDataFrame(
-            [(20000101, 1, 1.0), (20000101, 2, 2.0), (20000102, 1, 3.0), (20000102, 2, 4.0)],
-            ("time", "id", "v1"))
+        [(20000101, 1, 1.0), (20000101, 2, 2.0), (20000102, 1, 3.0), (20000102, 2, 4.0)],
+        ("time", "id", "v1"))
 
     df2 = spark.createDataFrame(
-            [(20000101, 1, "x"), (20000101, 2, "y")],
-            ("time", "id", "v2"))
+        [(20000101, 1, "x"), (20000101, 2, "y")],
+        ("time", "id", "v2"))
 
     @pandas_udf("time int, id int, v1 double, v2 string", PandasUDFType.COGROUPED_MAP)
     def asof_join(l, r):