Thanks for trying to help Andreas. Those suggestions did not really solve the problem, but I did realize where I was going astray and post that information here to help others. I did see others new to the libraries looking for similar help.
First the conceptual misunderstanding: I did not realize the 'figure size', as set by something like plt.gcf().set_size_inches(6,6) includes all area: white plot area, grey surrounding area, labels, etc. Everything inside the window frame. A bad coincidence slowed my realization. I measured the white area inside the axis to be 480x464 pixels, which at 80 dpi worked almost for a 6x6. So, I thought it was close but off just a bit. But, I had set the dpi to 100, and the total frame was exactly 600x600 as it should be. The dimensions of the plot area inside the axes was being set automatically, and just coincidentally worked out to be 480 in one dimension. Solution to get truly square plots of known size with axis scale set: fig = plt.gcf() fig.set_dpi(100) # or whatever you like fig.set_size_inches((6.0,6.0),forward=True) #for example # to control the fraction of the total area set aside for axis tick mark labels, etc. # this is key to keeping the interior plot area square plt.subplots_adjust(left=0.10,bottom=0.10,right=0.95,top=0.95) ## plt.axis('equal') # I had this for a while but do not think it useful plt.gca().grid(True) # to keep the axis scale from being automatically changed as line2d objects are added or removed plt.gca().set_autoscale_on(False) plt.axis([1.0,9.0,1.0,9.0]) # set the axis scale as appropriate plt.show() fig.canvas.draw() Cheers Kersey -- View this message in context: http://www.nabble.com/square-plots-with-linear-equal-axes-----help-tp24638812p24672100.html Sent from the matplotlib - users mailing list archive at Nabble.com. ------------------------------------------------------------------------------ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users