Hi,
I narrowed down the problem I've posted on the matplotlib user list
and now it looks like I found a matplotlib bug in 0.98 version.
The shared axes auto-scaling is not properly working in 0.98 (works
with the 0.91). Indeed, As shown, in the small attached script, the
shared x scale does not show the full curves (axs1 blue curve should go
up to 120 on axis).
In fact, if x axes is shared, the figure xmin and xmax are defined by
the last plotted axes (axs2) and does not take into account the min/max
from the first one which cut it. One would expect to see both curve
entirely.
Could someone have look at this problem. I will try to dive in
matplotlib code but I'm not an expert at all...
Thanks in advance,
David
import matplotlib
matplotlib.use('gtkagg')
import pylab as pl
if __name__ == "__main__":
axs1 = pl.subplot(111)
t = pl.arange(0.01, 200.0, 0.01)
s1 = pl.log(t)
pl.plot(t, s1, 'b-')
axs2 = pl.gcf().add_axes(axs1.get_position(),
sharex=axs1, frameon=False)
pl.plot([-20,30], [1,2], 'r-')
pl.show()
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