PR review comments

Author: Niharikadutta

src/csharp/Microsoft.Spark/Sql/DataFrame.cs

@@ -74,10 +74,9 @@ public void PrintSchema() =>
         /// Prints the schema up to the given level to the console in a nice tree format.
         /// </summary>
         [Since(Versions.V3_0_0)]
-        public void PrintSchema(int level) =>
-            Console.WriteLine(
-                (string)((JvmObjectReference)_jvmObject.Invoke("schema"))
-                .Invoke("treeString", level));
+        public void PrintSchema(int level) => Console.WriteLine(
+            (string)((JvmObjectReference)_jvmObject.Invoke("schema"))
+            .Invoke("treeString", level));
 
         /// <summary>
         /// Prints the plans (logical and physical) to the console for debugging purposes.

src/csharp/Microsoft.Spark/Sql/DataFrameStatFunctions.cs

@@ -134,10 +134,7 @@ public DataFrame SampleBy<T>(
         /// <param name="seed">Random seed</param>
         /// <returns>DataFrame object</returns>
         [Since(Versions.V3_0_0)]
-        public DataFrame SampleBy<T>(
-            Column column,
-            IDictionary<T, double> fractions,
-            long seed) =>
+        public DataFrame SampleBy<T>(Column column, IDictionary<T, double> fractions, long seed) =>
             WrapAsDataFrame(_jvmObject.Invoke("sampleBy", column, fractions, seed));
 
         private DataFrame WrapAsDataFrame(object obj) => new DataFrame((JvmObjectReference)obj);