added cummulative probability distribution graph

drawnumpredict.py

@@ -0,0 +1,18 @@
+import numpredict
+
+from pylab import *
+
+def cumulativegraph(data, vec1, high, k=5, weightfun=numpredict.gaussianweight):
+  t1 = arange(0.0, high, 1)
+  cprob = array([numpredict.probguess(data, vec1, 0, v, k, weightfun)
+    for v in t1])
+  plot(t1, cprob)
+  show()  # this does user interaction
+
+if __name__ == '__main__':
+  s = numpredict.wineset3(k=500)
+
+  # Draw graph that shows p(price | [rating=99, age=20])
+  print 'Real price 1:', numpredict.wineprice(99.0, 20.0)
+  print 'Real price 2:', 0.6 * numpredict.wineprice(99.0, 20.0)
+  cumulativegraph(s, [99.0, 20.0], 120)