fixed row/col orientation for 2D arrays

Pytables createArray function uses the opposite convention to pandas
for row/col. Using the numpy transpose .T corrects for this without
copying the data and keeping the orientation of 1D arrays intact.

Author: John-Colvin

pandas/io/pytables.py

@@ -686,7 +686,10 @@ def _read_index_node(self, node):
     def _write_array(self, group, key, value):
         if key in group:
             self.handle.removeNode(group, key)
-
+        
+        #Transform needed to interface with pytables row/col notation
+        value = value.T
+        
         if self.filters is not None:
             atom = None
             try: