return result
def MaxNormalise(data, u=1):
- maxval = max(data, key = lambda e : e[u])[u]
+
result = copy.deepcopy(data)
+ if (len(data) <= 0):
+ return result
+ maxval = max(data, key = lambda e : e[u])[u]
+
for d in result:
d[u] = d[u] / maxval
#gnuplot("set term postscript colour")
#gnuplot("set output \"test.eps\"")
for i in range(1, len(sys.argv)):
- tcs.append(Derivative(map(lambda e : [e[1], e[2]], GetData(sys.argv[i]))))
+ tcs.append(DoNothing(map(lambda e : [e[1], e[2]], GetData(sys.argv[i]))))
#tcs.append(GetTCS(GetData(sys.argv[i])))
if (len(tcs[i-1]) > 0):
gnuplot.replot(Gnuplot.Data(tcs[i-1], title=sys.argv[i], with_="lp"))