Changed from deprecated scipy.stats.mean() to numpy.mean().

laydi/lib/cx_utils.py

@@ -3,7 +3,7 @@ from scipy import apply_along_axis,newaxis,zeros,\
      trace,zeros_like,sign,sort,real,argsort,rand,array,\
      matrix,nan
 from scipy.linalg import norm,svd,inv,eig
-from scipy.stats import median,mean
+from scipy.stats import median
 
 def normalise(a, axis=0, return_scales=False):
     s = apply_along_axis(norm, axis, a)
@@ -99,11 +99,11 @@ def mat_center(X,axis=0,ret_mn=False):
         print "The X data needs to be two-dimensional"
         
     if axis==0:
-        mnX = mean(X,axis)[newaxis]
+        mnX = X.mean(axis)[newaxis]
         Xs = X - mnX
     
     elif axis==1:
-        mnX = mean(X,axis)[newaxis]
+        mnX = X.mean(axis)[newaxis]
         Xs = (X.T - mnX).T
     if ret_mn:
         return Xs,mnX