Hi folks,

I was trying to split the frame into 2 panels using "subplot",

fig = matplotlib.pyplot.figure()

plt1 = fig.add_subplot(2,1,1 )

plt2 = fig.add_subplot(2,1,2 )

plt1.plot(x1, y1, 'g-')

plt2.plot(x2, y2, 'g-')

then I need to overplot other curves on each subplot panel using the

same axes/ticksize settings, although the new data points extend a

longer x-range

plt1.plot(x3, y3, 'g-') will simply overplot the new x3/y3 by

extending the x-axis, is there a simply option or way to hold the axes/

ticksize setting fixed while doing overplot? I am writing a pipeline

to analyze thousands of sets of data points, so a tunning on the

pyplot would be a lot more preferred than finding the xrange

individually for each data sets. Thanks!