Changeset 17713

Timestamp:

04/11/14 10:59:25 (11 years ago)

Author:

cborstad

Message:

CHG: cosmetic

File:

• issm/trunk-jpl/src/m/interp/interp.py (modified) (4 diffs)

issm/trunk-jpl/src/m/interp/interp.py

@@ -61 +61 @@
         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 +131 @@
         # 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 +137 @@
                 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 +159 @@
         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)