1 files changed, 78 insertions, 0 deletions
diff --git a/numpy/core/defmatrix.py b/numpy/core/defmatrix.py
index 662f6f62c..617fc811f 100644
--- a/numpy/core/defmatrix.py
+++ b/numpy/core/defmatrix.py
@@ -201,6 +201,7 @@ class matrix(N.ndarray):
     def __str__(self):
         return str(self.__array__())
 
+    # To preserve orientation of result...
     def sum(self, axis=None, dtype=None):
         """Sum the matrix over the given axis.  If the axis is None, sum
         over all dimensions.  This preserves the orientation of the
@@ -212,6 +213,83 @@ class matrix(N.ndarray):
         else:
             return s
 
+    def mean(self, axis=None):
+        s = N.ndarray.mean(self, axis)
+        if axis==1:
+            return s.transpose()
+        else:
+            return s
+
+    def std(self, axis=None, dtype=None):
+        s = N.ndarray.std(self, axis, dtype)
+        if axis==1:
+            return s.transpose()
+        else:
+            return s
+
+    def var(self, axis=None, dtype=None):
+        s = N.ndarray.var(self, axis, dtype)
+        if axis==1:
+            return s.transpose()
+        else:
+            return s
+
+    def prod(self, axis=None, dtype=None):
+        s = N.ndarray.prod(self, axis, dtype)
+        if axis==1:
+            return s.transpose()
+        else:
+            return s
+
+    def any(self, axis=None):
+        s = N.ndarray.any(self, axis)
+        if axis==1:
+            return s.transpose()
+        else:
+            return s        
+
+    def all(self, axis=None):
+        s = N.ndarray.all(self, axis)
+        if axis==1:
+            return s.transpose()
+        else:
+            return s        
+        
+    def max(self, axis=None):
+        s = N.ndarray.max(self, axis)
+        if axis==1:
+            return s.transpose()
+        else:
+            return s
+
+    def argmax(self, axis=None):
+        s = N.ndarray.argmax(self, axis)
+        if axis==1:
+            return s.transpose()
+        else:
+            return s
+ 
+    def min(self, axis=None):
+        s = N.ndarray.min(self, axis)
+        if axis==1:
+            return s.transpose()
+        else:
+            return s        
+
+    def argmin(self, axis=None):
+        s = N.ndarray.argmin(self, axis)
+        if axis==1:
+            return s.transpose()
+        else:
+            return s        
+
+    def ptp(self, axis=None):
+        s = N.ndarray.ptp(self, axis)
+        if axis==1:
+            return s.transpose()
+        else:
+            return s
+
     # Needed becase tolist method expects a[i]
     #  to have dimension a.ndim-1
     def tolist(self):