modified crosstable normalization for multi index data

Author: Christoph Möhl

pandas/core/reshape/pivot.py

@@ -546,7 +546,7 @@ def _normalize(table, normalize, margins, margins_name='All'):
         }
 
     elif margins is True:
-
+        #skip margin rows and/or cols for normalization
         normalizers = {
             'all': lambda x: x / x.iloc[:-1,:-1].sum(axis=1).sum(axis=0),
             'columns': lambda x: x.div(x.iloc[:-1,:].sum()).iloc[:-1,:],
@@ -563,7 +563,7 @@ def _normalize(table, normalize, margins, margins_name='All'):
     except KeyError:
         raise ValueError("Not a valid normalize argument")
 
-    table=f(table)
+    table = f(table)
     table = table.fillna(0)       
 
     return table