diff --git a/xray/dataReduction.py b/xray/dataReduction.py
index 8192945..1915211 100644
--- a/xray/dataReduction.py
+++ b/xray/dataReduction.py
@@ -1,6 +1,6 @@
 from __future__ import print_function,division
 
-import logging 
+import logging
 log = logging.getLogger(__name__)
 
 import numpy as np
@@ -122,7 +122,7 @@ def averageScanPoints(scan,data,errAbs=None,isRef=None,lpower=None,useRatio=Fals
     noise = np.nanstd(diff_for_scan, axis = 0)
 
     # if it is the reference take only every second ...
-    if np.all( shot_idx == isRef ): 
+    if np.all( shot_idx == isRef ):
       diff_for_scan = diff_for_scan[::2]
 
     diffsInScanPoint.append( diff_for_scan )
@@ -216,9 +216,9 @@ def saveTxt(folder,data,delayToStr=True,basename='auto',info="",**kw):
     fname = "%s/%sdiff_av_%s.txt" % (folder,basename,scan)
     if 'mask' in data:
       tosave = np.vstack( (data.data[iscan],data.err[iscan],
-               data.dataUnmasked[iscan],data.errUnmasked[iscan] ) ) 
+               data.dataUnmasked[iscan],data.errUnmasked[iscan] ) )
       columns = 'q diffmask errmask diffnomask errnomask'.split()
-    else: 
+    else:
       tosave = np.vstack( (data.data[iscan],data.err[iscan] ) )
       columns = 'q diff err'.split()
     utils.saveTxt(fname,q,tosave,info=info_delay,columns=columns)
@@ -259,4 +259,3 @@ def read_diff_av(folder,plot2D=False,save=None):
     tosave = np.vstack( (header,tosave.T)  )
     np.savetxt(folder + "/all_diffs_av_matrix.txt",tosave)
   return q,it,diffs,t
-