diff --git a/TuningFork/draw.py b/TuningFork/draw.py
index a1d1f90c7548942797ae25a7dfdc2059a7ee782d..52f1e881d8fbb2cec9db8e75e139346b21cf9686 100755
--- a/TuningFork/draw.py
+++ b/TuningFork/draw.py
@@ -2,15 +2,14 @@
 
 import sys
 sys.path.append('..')
-import quickmap
-from quickmap import GetMultiMap, GetLine
+from quickmap import *
 
-x1,y1 = quickmap.DataFileToXYArray('without_damping.dat')
-x2,y2 = quickmap.DataFileToXYArray('with_damping.dat')
+x1,y1 = DataFileToXYArray('without_damping.dat')
+x2,y2 = DataFileToXYArray('with_damping.dat')
 
 GetMultiMap(GetLine(x1, y1, smoothLine=True) + GetLine(x2, y2, smoothLine=True))
 
 sq_T = '14.633 19.327 24.256 29.192 34.589 39.547'.split(' ')
 sq_T = [float(e) for e in sq_T]
 m = [0,10,20,30,40,50]
-quickmap.GetMap(m,sq_T,polyLine=True)
+GetMap(m,sq_T,polyLine=True)
diff --git a/quickmap.py b/quickmap.py
index 7c4a56154ee96cc269465c7522f46d15c00edd74..ad7a5f3ede3552884c727f8261f128c785fc2731 100644
--- a/quickmap.py
+++ b/quickmap.py
@@ -11,7 +11,7 @@ from scipy.interpolate import spline
 
 from deprecated import deprecated
 
-def dotMultiply(vctA, vctB):
+def _dotMultiply(vctA, vctB):
     if len(vctA) != len(vctB):
         print("Error: While vcta is ", vctA, " and vctb is ", vctB)
         raise ValueError("dotmulti needs lena == lenb.")
@@ -92,7 +92,7 @@ def GetLine(arrX, arrY, name=fetchAnonymousLineName(), extendXRate=1, extendYRat
         vctX = [x ** power for power in range(poly_maxXPower + 1)]
         if poly_passO:
             vctX[0] = 0
-        return dotMultiply(k, vctX)
+        return _dotMultiply(k, vctX)
 
     def lossFunc(k, x, y): return abs(lineFunc(k, x) - y)
 
@@ -111,10 +111,10 @@ def GetLine(arrX, arrY, name=fetchAnonymousLineName(), extendXRate=1, extendYRat
     if polyLine:
         if poly_inverseK:
             py = numpy.linspace(minY, maxY, 1000)
-            px = dotMultiply(kFinal, [py ** power for power in range(poly_maxXPower + 1)])
+            px = _dotMultiply(kFinal, [py ** power for power in range(poly_maxXPower + 1)])
         else:
             px = numpy.linspace(minX, maxX, 1000)
-            py = dotMultiply(kFinal, [px ** power for power in range(poly_maxXPower + 1)])
+            py = _dotMultiply(kFinal, [px ** power for power in range(poly_maxXPower + 1)])
     elif smoothLine:
         px = numpy.linspace(minX, maxX, 1000)
         py = spline(X, Y, px)