[Matplotlib-users] axes.get_position() inaccurate until after savefig()?

[gdm <jga...@gm...>]

New matplotlib user here.  Sometimes I like to make figures with multiple
axes, and have lines that cross multiple axes.  I've run in to problems with
coordinates when doing this.  One such problem is that axes.get_position()
seems to return incorrect coordinates for an axes with a fixed aspect ratio. 
However, after calling pyplot.show()  (or fig.savefig()), it returns the
correct coordinates.

Here is some example code:
#########################
import numpy
import matplotlib.pyplot as plt

# make up some data
x = numpy.arange(10)
y = numpy.sin(x)
y2 = numpy.cos(x)

# generate the figure
fig = plt.figure()

# setup the first axes
ax1 = fig.add_subplot(121)
plt.plot(x,y)

# setup the second axes with axis ratio
ax2 = fig.add_subplot(122, aspect=6)
plt.plot(x, y2)

# Print out the axes position after various operations
print "aaa", ax2.get_position()

plt.draw()
print "bbb", ax2.get_position()

fig.canvas.draw()
print "ccc", ax2.get_position()

plt.show(block=False)
print "yyy", ax2.get_position()
##########################

Running this code produces the following output:
aaa Bbox('array([[ 0.54772727,  0.1       ],\n       [ 0.9       ,  0.9      
]])')
bbb Bbox('array([[ 0.54772727,  0.1       ],\n       [ 0.9       ,  0.9      
]])')
ccc Bbox('array([[ 0.54772727,  0.1       ],\n       [ 0.9       ,  0.9      
]])')
yyy Bbox('array([[ 0.54772727,  0.18686869],\n       [ 0.9       , 
0.81313131]])')

P.S.: I think this might be related to an issue noted here:
http://stackoverflow.com/questions/11900654/get-position-does-strange-things-when-using-a-colorbar





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