diff --git a/scripts/checkPulseData.py b/scripts/checkPulseData.py
index 7bd16a8..e0d9ad7 100644
--- a/scripts/checkPulseData.py
+++ b/scripts/checkPulseData.py
@@ -62,9 +62,6 @@
 
 
 def prune(x):
-    #for element in x:
-    #    if element is None:
-    #        x.remove(element)
     return [element for element in x if element is not None]
 
 
@@ -95,7 +92,18 @@
         return self.substituted_str
 
 
+class Table(dict):
 
+    def __init__(self, *keylist):
+        super(dict, self).__init__()
+        self.__keylist = keylist
+        for key in keylist:
+            self[key] = []
+
+    def append(self, *vals):
+        assert(len(vals) == len(self.__keylist))
+        for i, v in enumerate(vals):
+            self[self.__keylist[i]].append(v)
 
 
 if __name__ == '__main__':
@@ -141,7 +149,15 @@
                                        'N strips',
                                        'V bias',
                                        'MPVs'])
-    
+    # dic = {'Detector': [],
+    #        'Sector': [],
+    #        'Fill': [],
+    #        'N strips': [],
+    #        'V bias': [],
+    #        'MPVs': []}
+
+    table = Table('Detector', 'Sector', 'Fill', 'N strips', 'V bias', 'MPVs')
+
     # Loop on data
     for fill in fills:
         for sector in sectors:
@@ -163,17 +179,20 @@
                                                        SEC=sector,
                                                        CS=cstep))
                             pulse.append(None)
-                    #pulse = build_pulse(pulse)
-                    if monotonic(build_pulse(pulse)):
+                    pulse = build_pulse(pulse)
+                    if monotonic(pulse):
                         # Append this occurrence to the data frame
                         # Probably it would be faster to do as suggested here:
                         # http://stackoverflow.com/a/17496530/3324012
-                        data_frame.loc[len(data_frame)] = [detector,
-                                                           sector,
-                                                           fill,
-                                                           ns,
-                                                           vmap[vstep],
-                                                           pulse]
+                        # data_frame.loc[len(data_frame)] = [detector,
+                        #                                    sector,
+                        #                                    fill,
+                        #                                    ns,
+                        #                                    vmap[vstep],
+                        #                                    pulse]
+
+                        table.append(detector, sector, fill, ns, vmap[vstep], pulse)
+
                         if VERBOSE:
                             pulse = [round(v,2) for v in pulse]
                             print(warning.format(NS=ns,
@@ -182,4 +201,6 @@
                                                  V=vmap[vstep],
                                                  PULSE=pulse))
 
-    # datafile.Close()
+    datafile.Close()
+    # data_frame[data_frame['MPVs'].apply(monotonic)]
+    data_frame = pd.DataFrame.from_dict(table)