Hi everybody,
some time ago I send the first mail concerning "pylab.autoscale_view()".
Unfortunately nobody reponsed - so I ask you again for any suggestions.
If I should set up another example or explain it, please let me know.
best regards and thanks in advance for any hint,
Matthias
On Tuesday 13 February 2007 13:21, Matthias Michler wrote:
> 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()
>
> >--------------------------------------------------------------------------
-------------------------------------------------------------------------
This SF.net email is sponsored by DB2 Express
Download DB2 Express C - the FREE version of DB2 express and take
control of your XML. No limits. Just data. Click to get it now.
http://sourceforge.net/powerbar/db2/
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
