Index: /issm/trunk-jpl/src/m/interp/interp.py
===================================================================
--- /issm/trunk-jpl/src/m/interp/interp.py	(revision 17712)
+++ /issm/trunk-jpl/src/m/interp/interp.py	(revision 17713)
@@ -61,5 +61,5 @@
 	ind=npy.nonzero(mask)[0]
 	if len(ind) and fill_nans:
-		print "WARNING: filling nans using spline fit through good data points, which may or may not be appropriate. Check results carefully."
+		print "		WARNING: filling nans using spline fit through good data points, which may or may not be appropriate. Check results carefully."
 	subdata=npy.delete(subdata,ind)
 	points=npy.delete(points,ind,axis=0)
@@ -131,5 +131,5 @@
 	# create points array and flattened data array
 	if len(x)==data.shape[1] and len(y)==data.shape[0]:
-		print 'x,y taken to define the center of data grid cells'
+		print '		x,y taken to define the center of data grid cells'
 		xind=npy.nonzero(npy.logical_and(x>xlim[0],x<xlim[1]))[0]
 		yind=npy.nonzero(npy.logical_and(y>ylim[0],y<ylim[1]))[0]
@@ -137,5 +137,5 @@
 		subdata=data[yind[0]:yind[-1]+1,xind[0]:xind[-1]+1]
 	elif len(x)==data.shape[1]+1 and len(y)==data.shape[0]+1:
-		print 'x,y taken to define the corners of data grid cells'
+		print '		x,y taken to define the corners of data grid cells'
 		xcenter=npy.fromiter(((x[i]+x[i+1])/2 for i in range(len(x)-1)),npy.float)
 		ycenter=npy.fromiter(((y[i]+y[i+1])/2 for i in range(len(y)-1)),npy.float)
@@ -159,5 +159,5 @@
 	ind=npy.nonzero(mask)[0]
 	if len(ind) and fill_nans:
-		print "WARNING: filling nans using spline fit through good data points, which may or may not be appropriate. Check results carefully."
+		print "		WARNING: filling nans using spline fit through good data points, which may or may not be appropriate. Check results carefully."
 	goodsubdata=npy.delete(flatsubdata,ind)
 	goodpoints=npy.delete(points,ind,axis=0)