Initialize DataFrames from series vargargs

Author: chitralverma

core/src/main/scala/org/polars/scala/polars/api/DataFrame.scala

@@ -185,8 +185,9 @@ object DataFrame {
     *   [[org.polars.scala.polars.api.DataFrame]] formed from the provided
     *   [[org.polars.scala.polars.api.Series]]
     */
-  def fromSeries(series: Series, more: Array[Series]): DataFrame =
-    DataFrame.withPtr(data_frame.fromSeries(more.+:(series).map(_.ptr)))
+  @varargs
+  def fromSeries(series: Series, more: Series*): DataFrame =
+    DataFrame.withPtr(data_frame.fromSeries(more.+:(series).map(_.ptr).toArray))
 
   /** Initialize new [[org.polars.scala.polars.api.DataFrame]] from one or more
     * [[org.polars.scala.polars.api.Series]]. The name of a series is used as column name and its
@@ -220,20 +221,4 @@ object DataFrame {
   def fromSeries(series: Series, more: java.lang.Iterable[Series]): DataFrame =
     fromSeries(series, more.asScala)
 
-  /** Initialize new [[org.polars.scala.polars.api.DataFrame]] from one or more
-    * [[org.polars.scala.polars.api.Series]]. The name of a series is used as column name and its
-    * values are the values of this column.
-    *
-    * @param series
-    *   Series
-    * @param more
-    *   Series as scala varargs
-    *
-    * @return
-    *   [[org.polars.scala.polars.api.DataFrame]] formed from the provided
-    *   [[org.polars.scala.polars.api.Series]]
-    */
-  def fromSeries(series: Series, more: Series*): DataFrame =
-    fromSeries(series, more)
-
 }

examples/src/main/java/examples/java/InstantiateDataFrame.java

@@ -7,6 +7,17 @@
 public class InstantiateDataFrame {
   public static void main(String[] args) {
 
+    DataFrame.fromSeries(Series.ofBoolean("bool_col", new boolean[] {true, false, true})).show();
+
+    DataFrame.fromSeries(
+            Series.ofInt("i32_col", new int[] {1, 2, 3}),
+            Series.ofLong("i64_col", new long[] {1L, 2L, 3L}),
+            Series.ofBoolean("bool_col", new boolean[] {true, false, true}),
+            Series.ofList(
+                "nested_str_col",
+                new String[][] {{"a", "b", "c"}, {"a", "b", "c"}, {"a", "b", "c"}}))
+        .show();
+
     /* Values as Java array(s) */
 
     DataFrame.fromSeries(