diff --git a/qucs/qucs/python/parse_result.py b/qucs/qucs/python/parse_result.py
index 453e337cb7..c7a7989606 100644
--- a/qucs/qucs/python/parse_result.py
+++ b/qucs/qucs/python/parse_result.py
@@ -65,7 +65,8 @@ def parse_file(name):
     data['variables'] = variables
     # reverse the shape variable in order to get the reshape operation (see below)
     # correct
-    shape = shape[::-1]
+    shape = shape[::-1].astype('int')
+    shape = shape.squeeze()
 
     # here comes the clever trick :-)
     # if a dependent variable depends on N > 1 (independent) variables,
@@ -75,6 +76,6 @@ def parse_file(name):
         temp = data['variables'][key]
         if temp == 'dep':
             temp_data = data[key]
-            data[key] = np.reshape(temp_data, shape)
+            data[key] = np.reshape(temp_data, shape).squeeze()
 
     return data
diff --git a/qucs/qucs/python/parse_result_example.py b/qucs/qucs/python/parse_result_example.py
index 6ea365be5c..0cc422d921 100644
--- a/qucs/qucs/python/parse_result_example.py
+++ b/qucs/qucs/python/parse_result_example.py
@@ -1,14 +1,16 @@
 import numpy as np
+import matplotlib
 import matplotlib.pyplot as plt
-
 import parse_result as pr
+# usage: python3 parse_result_example.py
 
+# sudo apt-get install python3-tk
+# sudo yum install python3-tk
+matplotlib.use('TkAgg')
 
 # create the dat file to load with:
 # qucsator < rc_ac_sweep.net > rc_ac_sweep.dat
 
-
-
 data = pr.parse_file('rc_ac_sweep.dat')
 
 x = data['acfrequency']
diff --git a/qucs/qucs/python/qucs-py/qucs.py b/qucs/qucs/python/qucs-py/qucs.py
index 6aa099b658..ba82086e03 100644
--- a/qucs/qucs/python/qucs-py/qucs.py
+++ b/qucs/qucs/python/qucs-py/qucs.py
@@ -14,10 +14,11 @@ def __init__(this,fname=""):
     this.indeps={}
     this.deps={}
     if fname != "":
-        f=open(fname,"rb")
+        f=open(fname,"r")
         l=f.readline().strip()
         # In the first line check whether we have a qucs data
         if l != "<Qucs Dataset 0.0.18>":
+           print(l)
            raise("This is not a qucs data file!")
         # Now we should start reading dependent vars, and independent vars
         # The next line should be either dependend variable or independent variable
@@ -51,7 +52,7 @@ def create_dep(this,ldef,infile):
     #Reserve the data buffer
     dta = pylab.zeros(vsize,complex)
     #Read the data
-    for i in xrange(0,vsize):
+    for i in range(0,vsize):
         l=infile.readline().strip()
         dta[i]=this.conv_dta(l)
     #Now make sure, that the last line is "<indep>"
@@ -59,7 +60,7 @@ def create_dep(this,ldef,infile):
     if l != "</dep>":
        raise("Wrong syntax in line: "+l)
     #Reshape the data buffer into the multi-dimensional array
-    dta=pylab.reshape(dta,dims,'FORTRAN')
+    dta=pylab.reshape(dta,dims, "FORTRAN")
     this.deps[vnames[0]]=qucs_dep_var(dta,vnames[1:])
 
   def create_indep(this,ldef, infile):
@@ -70,7 +71,7 @@ def create_indep(this,ldef, infile):
     #Create the empty data
     dta = pylab.zeros(vsize,complex)
     #Read the data
-    for i in xrange(0,vsize):
+    for i in range(0,vsize):
         l=infile.readline().strip()
         dta[i]=this.conv_dta(l)
     #Now make sure, that the last line is "<indep>"