FIX PandasObjects unhashable

Author: hayd

RELEASE.rst

@@ -220,7 +220,7 @@ pandas 0.11.1
   - Groupby transform with item-by-item not upcasting correctly (GH3740_)
   - Incorrectly read a HDFStore multi-index Frame witha column specification (GH3748_)
   - ``read_html`` now correctly skips tests (GH3741_)
-  - DataFrames/Panel raise Type error when trying to hash (GH3882_)
+  - PandasObjects raise TypeError when trying to hash (GH3882_)
   - Fix incorrect arguments passed to concat that are not list-like (e.g. concat(df1,df2)) (GH3481_)
   - Correctly parse when passed the ``dtype=str`` (or other variable-len string dtypes) in ``read_csv`` (GH3795_)
 

pandas/core/generic.py

@@ -31,6 +31,11 @@ def save(self, path):
     def load(cls, path):
         return com.load(path)
 
+    def __hash__(self):
+        raise TypeError('{0!r} objects are mutable, thus they cannot be'
+                              ' hashed'.format(self.__class__.__name__))
+
+
     #----------------------------------------------------------------------
     # Axis name business
 
@@ -594,10 +599,6 @@ def axes(self):
     def __repr__(self):
         return 'NDFrame'
 
-    def __hash__(self):
-        raise TypeError('{0!r} objects are mutable, thus they cannot be'
-                              ' hashed'.format(self.__class__.__name__))
-
     @property
     def values(self):
         return self._data.as_matrix()

pandas/core/series.py

@@ -527,10 +527,6 @@ def _constructor(self):
     def _can_hold_na(self):
         return not is_integer_dtype(self.dtype)
 
-    def __hash__(self):
-        raise TypeError('{0!r} objects are mutable, thus they cannot be'
-                              ' hashed'.format(self.__class__.__name__))
-
     _index = None
     index = lib.SeriesIndex()