Hello everbody,
sometimes I need an autoscaling when my new data points in a figure have small
values compared to some deleted ones. So I thought ax.autoscale_view() would
be the solution, but it seems to remember deleted data and so doesn't scale
limits like I want. A little program showing my problem can be seen below.
Could anyone help me or give me a little hint?
Thanks in advance,
Matthias
>---------------------------------------------------------------------------
import pylab as P
P.ion()
P.figure()
ax = P.subplot(111)
P.plot(P.array([0,1]), P.array([0,2]))
P.plot(P.array([1.1,2]), P.array([2.2,4]))
P.draw()
raw_input(" delete one graph by pressing <return>")
ax.lines.pop(-1)
P.draw()
P.draw()
raw_input(" manually setting new limits by pressing <return>")
ax.set_autoscale_on = False
ax.axis([-0.1, 1.1, -0.1, 2.1])
ax.set_autoscale_on = True
P.draw()
P.draw()
raw_input(" do 'ax.autoscale_view()' by pressing <return> ")
ax.autoscale_view()
P.draw()
P.draw()
# autoscale_view() rescales to old limits with all of the data
raw_input(" end programm by pressing <return>")
P.ioff()
>-------------------------------------------------------------------------------
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