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! -- http://mail.python.org/mailman/listinfo/python-list
