Update dataframe.py

removed space from empty lines

python/pyspark/sql/dataframe.py

@@ -2050,18 +2050,18 @@ def toDF(self, *cols):
     def transform(self, func, *args, **kwargs):
         """Returns a new class:`DataFrame` according to a user-defined custom transform method.
         This allows chaining transformations rather than using nested or temporary variables.
-        
+
         :param func: a user-defined custom transform function
         :param *args: optional positional arguments to pass to `func`
         :param **kwargs: optional keywarded arguments to pass to `func`
-        
+
         A more concrete example::
 
-            def with_greeting(df):
+        def with_greeting(df):
                return df.withColumn("greeting", lit("hi"))
             def with_something(df, something):
                 return df.withColumn("something", lit(something))
-
+            
             data = [("jose", 1), ("li", 2), ("liz", 3)]
             source_df = spark.createDataFrame(data, ["name", "age"])
 
@@ -2076,15 +2076,14 @@ def with_something(df, something):
             |  li|  2|      hi|    crazy|
             | liz|  3|      hi|    crazy|
             +----+---+--------+---------+
-        
+
         This is equiavalent to a nested:
             actual_df = with_something(with_greeting(source_df), "crazy"))
 
-            
         credit to: https://medium.com/@mrpowers/chaining-custom-pyspark-transformations-4f38a8c7ae55
         """
         return func(self, *args, **kwargs)
-    
+
     @since(1.3)
     def toPandas(self):
         """