High CPU utilization with Pylab

[Madhur]

I am trying to plot a runtime graph using pylab. But the very purpose
of functionality is lost because of high CPU percentage hogged by
plotting the graph.

Here is the piece of code which I have written.

def timerfunc(ulcm, dlcm):
count=0
xaxis=[]
yaxis=[]
ion()
while 1:
xaxis.append(count)
dr=(((dlcm.sum)/dlcm.timer)*8)
dlcm.counter=0
yaxis.append(dr)
dlcm.sum=0
h=plot(xaxis,yaxis,'b')
draw()
count=count+1
time.sleep(dlcm.timer/1000.0)
if (count>100):
xlim(count-100, count)

Here is the function which plots the graph.

Is there something which does not makes sense .?

-Madhur

[David]

Il Sun, 5 Sep 2010 03:05:54 -0700 (PDT), Madhur ha scritto:

> Is there something which does not makes sense .?

1. How, a computer, is supposed to handle your infinite loop?
2. Running ghraphs shuold be handled in totally different way: look at the
"stripcharting" demo in this zip
http://agni.phys.iit.edu/~kmcivor/wxmpl/downloads/wxmpl-1.3.1.zip