matplotlib-users Mailing List for matplotlib

>>>>> "matthew" == matthew arnison <ma...@ca...> writes:
 matthew> I think you need to use threads. I'm only just learning
 matthew> how to use them myself. But have a look at:
Have you looked at examples/interactive.py and
examples/interactive2.py? 
JDH

I think you need to use threads. I'm only just learning how to use them 
myself. But have a look at:
http://www.async.com.br/faq/pygtk/index.py?req=show&file=faq20.001.htp
and play with something like:
#!/usr/bin/python
# Trying to figure out how to use threads.
# This doesn't work, but I feel it is close.
import time
import thread
from matplotlib.matlab import *
import gtk
gtk.threads_init()
# gtk.mainloop()
figure(1)
plot([1,2,3,4,5,2])
print "figure 1"
gtk.threads_enter()
thread.start_new_thread(show, ())
gtk.threads_leave() 
time.sleep(2)
figure(2)
plot([1,2,3,4,5,2,10])
print "figure 2"
gtk.threads_enter()
thread.start_new_thread(show, ())
gtk.threads_leave() 
time.sleep(2)
...
Cheers,
Matthew.
On Thu, 8 Jan 2004, Flavio C. Coelho wrote:
> Hi,
> 
> I have a problem with matplotlib:
> 
> My program is an interective simulator which needs to re-plot results
> multiple times at the users request.
> 
> But after I issue show() I cannot generate other plots.
> 
> what can I do to circumvent this?
> 
> thanks in advance,
> 
> Flávio Codeço Coelho,
> PhD
> Programa de Computação
> Científica
> Fundação Oswaldo Cruz
> Rio de Janeiro -- Brasil
> 
> 
> ________________________________________________________________________
> 

>>>>> "Flavio" == Flavio C Coelho <fcc...@fi...> writes:
 Flavio> Hi, I have a problem with matplotlib:
 Flavio> My program is an interective simulator which needs to
 Flavio> re-plot results multiple times at the users request.
 Flavio> But after I issue show() I cannot generate other plots.
 Flavio> what can I do to circumvent this?
If you are using matplotlib in an application, as it sounds like you
are, you don't need to call show at all. You control the GUI mainloop
yourself. See, for example, examples/embedding_in_gtk2.py or
examples/embedding_in_wx.py.
Do the application users need to use the matlab interface plotting
commands themselves, or are they simply interacting with the plots
using widgets you provide? If the latter, I suggest not using the
matlab interface at all, and importing Figure from
backends.backend_gtk or backends.backend_wx. and Subplot from axes
and controlling the plots using the object oriented API.
All of the matlab plotting commands are simply thin wrappers to the
Axes API (hist, psd, scatter, etc... are all accessible from the axes
instance)
Eg,
 subplot(111)
 plot(t,s)
 xlabel('hi mom')
 set(gca(), 'xlim', [0,10])
is
 fig = Figure(figsize=(5,4), dpi=100)
 ax = Subplot(f, 111)
 ax.plot(t,s)
 ax.set_xlabel('hi mom')
 ax.set_xlim([0,10])
You can force a redraw of the figure by doing
 fig.draw()
The moral of the story: don't call show for applications; that is for
python batch scripts.
Will this work for you?
Of course if you have a shell and you want to allow your users to
interact with the plot using the matlab interface, you'll need a
different approach. Something along the lines of
examples/interactive2.py, which is an interactive shell for pygtk. I
haven't worked with custom shells for wx, but interactive control of
matplotlib figures works in PyCrust with the CVS version of matplotlib.
Make sure you are using the CVS version of matplotlib as a number of
critical bugs in the WX backend that affect interactive use have been
fixed since the 0.40 release. Note the API for working interactively
has changed. You now do
 import matplotlib
 matplotlib.use('WX')
 matplotlib.interactive(True)
Ditto for GTK.
Here's a snapshot of the latest version in case your CVS mirrors are
behind:
 http://nitace.bsd.uchicago.edu:8080/files/share/matplotlib-0.41c.tar.gz
Hope this helps!
John Hunter