[SPARK-11984][SQL][PYTHON] Fix typos in doc for pivot for scala and python

Author: felixcheung <[email protected]>

Closes #9967 from felixcheung/pypivotdoc.

(cherry picked from commit faabdfa)
Signed-off-by: Reynold Xin <[email protected]>

Author: felixcheung

python/pyspark/sql/group.py

@@ -169,11 +169,11 @@ def sum(self, *cols):
 
     @since(1.6)
     def pivot(self, pivot_col, values=None):
-        """Pivots a column of the current DataFrame and preform the specified aggregation.
+        """Pivots a column of the current DataFrame and perform the specified aggregation.
 
         :param pivot_col: Column to pivot
-        :param values: Optional list of values of pivotColumn that will be translated to columns in
-            the output data frame. If values are not provided the method with do an immediate call
+        :param values: Optional list of values of pivot column that will be translated to columns in
+            the output DataFrame. If values are not provided the method will do an immediate call
             to .distinct() on the pivot column.
 
         >>> df4.groupBy("year").pivot("course", ["dotNET", "Java"]).sum("earnings").collect()

sql/core/src/main/scala/org/apache/spark/sql/GroupedData.scala

@@ -282,7 +282,7 @@ class GroupedData protected[sql](
   }
 
   /**
-   * Pivots a column of the current [[DataFrame]] and preform the specified aggregation.
+   * Pivots a column of the current [[DataFrame]] and perform the specified aggregation.
    * There are two versions of pivot function: one that requires the caller to specify the list
    * of distinct values to pivot on, and one that does not. The latter is more concise but less
    * efficient, because Spark needs to first compute the list of distinct values internally.
@@ -321,7 +321,7 @@ class GroupedData protected[sql](
   }
 
   /**
-   * Pivots a column of the current [[DataFrame]] and preform the specified aggregation.
+   * Pivots a column of the current [[DataFrame]] and perform the specified aggregation.
    * There are two versions of pivot function: one that requires the caller to specify the list
    * of distinct values to pivot on, and one that does not. The latter is more concise but less
    * efficient, because Spark needs to first compute the list of distinct values internally.
@@ -353,7 +353,7 @@ class GroupedData protected[sql](
   }
 
   /**
-   * Pivots a column of the current [[DataFrame]] and preform the specified aggregation.
+   * Pivots a column of the current [[DataFrame]] and perform the specified aggregation.
    * There are two versions of pivot function: one that requires the caller to specify the list
    * of distinct values to pivot on, and one that does not. The latter is more concise but less
    * efficient, because Spark needs to first compute the list of distinct values internally.