Generating Multi-Plot Real-Time Plots with Python

In an earlier post the real-time plotting capabilities were demonstrated, we're extending on this by showing how to generate multiple plots simultaneously.  A couple noteworthy observations, in the past post the X and Y scaling was automatically scaled after each element addition.  While you can still do this, typically for multiplots we would prefer maintaining a shared X range.  While somewhat unnecessary, I've elected to maintain a uniform Y range.

#!/usr/bin/python
from pylab import *;
import time;

def log(M):
  print "__(log) " + M;

def test02():
  plt.ion();
  fig=plt.figure(1);
  ax1=fig.add_subplot(311);
  ax2=fig.add_subplot(312);
  ax3=fig.add_subplot(313);
  l1,=ax1.plot(100,100,'r-');
  l2,=ax2.plot(100,100,'r-');
  l3,=ax3.plot(100,100,'r-');
  time.sleep(3);

  D=[];
  i=0.0;
  while (i < 50.0):
    D.append((i,sin(i),cos(i),cos(i*2)));
    T1=[x[0] for x in D];
    L1=[x[1] for x in D];
    L2=[x[2] for x in D];
    L3=[x[3] for x in D];

    l1.set_xdata(T1);
    l1.set_ydata(L1);

    l2.set_xdata(T1);
    l2.set_ydata(L2);

    l3.set_xdata(T1);
    l3.set_ydata(L3);

    ax1.set_xlim([0,50]);
    ax2.set_xlim([0,50]);
    ax3.set_xlim([0,50]);
    ax1.set_ylim([-1.5,1.5]);
    ax2.set_ylim([-1.5,1.5]);
    ax3.set_ylim([-1.5,1.5]);

    plt.draw();
    i+=0.10;
  show(block=True);

#---main---
log("main process initializing");
test02();
log("main process terminating");

Easy Peasy;