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
avg = Average(tcs)
- gnuplot.replot(Gnuplot.Data(avg, title="Average", with_="l lw 2"))
+ #gnuplot.replot(Gnuplot.Data(avg, title="Average", with_="l lw 2"))
sys.stdout.write("Save averaged data as (blank for no save): ")
filename = sys.stdin.readline().strip(" \r\n\t")