conversion to new python3

src/data/MeasurementResult.py

@@ -168,7 +168,7 @@ class MeasurementResult(Drawable.Drawable, collections.UserDict):
         sorted array of all dictionary entries without Accumulated Value objects with n==0
         """
         keys=numpy.array([k for k in list(self.data.keys()) if not (isinstance(self.data[k], AccumulatedValue) and self.data[k].n==0)],
-                         dtype="Float64")
+                         dtype="float64")
         keys.sort()
         return keys
 
@@ -177,18 +177,18 @@ class MeasurementResult(Drawable.Drawable, collections.UserDict):
 
     def get_xydata(self):
         k=self.get_xdata()
-        v=numpy.array([self.data[key].mean() for key in k], dtype="Float64")
+        v=numpy.array([self.data[key].mean() for key in k], dtype="float64")
         return [k,v]
 
     def get_errorplotdata(self):
         k=self.get_xdata()
-        v=numpy.array([self.data[key].mean() for key in k], dtype="Float64")
-        e=numpy.array([self.data[key].mean_error() for key in k], dtype="Float64")
+        v=numpy.array([self.data[key].mean() for key in k], dtype="float64")
+        e=numpy.array([self.data[key].mean_error() for key in k], dtype="float64")
         return [k,v,e]
 
     def get_lineplotdata(self):
         k=self.get_xdata()
-        v=numpy.array(self.y, dtype="Float64") 
+        v=numpy.array(self.y, dtype="float64") 
         return [k, v]
 
     def uses_statistics(self):